search-close-icon

Search here

Can't find what you are looking for?

Feel free to get in touch with us for more information about our products and services.

Zero-in on Your Real Estate Prospects with Data

Big Data technologies make real estate prospecting more credible and effective by giving you access to real-time web data. You can use web scraping to gather actionable web data and analyze the real estate market environment on a city block level.

real estate prospecting

In one of the best books on investing ever written, The Intelligent Investor, Benjamin Graham introduces the readers to a fictional character by the name of Mr. Market. 

Mr. Market always has an opinion on where one should invest. Sometimes, he will quote a high price for a stock, because he believes in a bright future for the business. On other days he will be terribly disheartened about the performance of a company. So, consequently, he will quote a lower price.

Graham advised against following the whims of Mr. Market because naturally, the stock market is rife with the same run-of-the-mill opinions. Success depends on your ability to detect outliers. 

Enter the 2008 financial crisis, and the lessons were not heeded. The housing bubble exploded, and the entire PLS (Private Label Securities) market came crashing down. As a result, many investors lost their life savings. To Michael Burry (of the movie Big Short, a true story), the lead-up to the financial collapse was evident from the very start.

Mr. Markets from all walks of life inflated the housing market. The price of MBS (Mortgage Backed Securities) would never go down, was their combined investment narrative. Which, ultimately, led to their undoing.

Topics covered in this article:


Moving past the Great Recession: Real estate industry guided by web data?

We can’t talk about web data without mentioning analytical models that make use of this data. Particularly worrisome cases come to light when you consider the fact that the overwhelming majority of economists failed to predict the great economic downturn.

The over-reliance on mathematical models did not save the housing bubble. As computers grew more powerful, the economists came to trust complex mathematical models to figure out how economic forces will interact with each other.

Sidney G. Winter, the Touche Emeritus of Management at Wharton, pins the failure of the model on their inability to jettison certain variables that prohibit the attainment of clear-cut insights. More specifically, Professor Winter lays the blame on the algorithm’s failure to account for human psychology.

But, does web data have answers to these seemingly unanswerable questions? Indeed, for instance, a leading job board enables businesses to gauge sectors hiring the most people, and create a monitoring system that stays in touch with real-time market fluctuations.

By analyzing the number of job postings in the construction industry, you can infer the trajectory of the housing market. Furthermore, customer reviews and ratings offer a window into human psychology. So, when you are monitoring web data you are not just crunching numbers, but also analyzing qualitative data.

We do not consider web data as the solution to all your business problems, but it certainly opens the door to radical solutions.

Data to make or break your business
Get high-priority web data for your business, when you want it.

Leverage Big Data to succeed in the ‘stable’ real estate market

What separates Big Data from other data types is its ability to provide insights in real-time. Now, you can draw conclusions from Big Data that inform your decision-making at a granular level. This way, you have a possibility to gain an upper hand before the occurrence of a crisis.

Big Data, a term coined to describe the rapid creation of web data and the technologies required to process them to gain actionable insights and inform decision-making, is characterized by four factors: Volume, Variety, Velocity, and Veracity.

Volume, concerning the exponential rise in the creation of data, and velocity has to do with the puzzling speed at which this data is created. 

Web data increases by an exorbitant amount every day. Hence, Big Data technology offers ample ground to experiment with volume and variety.

Veracity is where Grepsr is most concerned with. Although we are in no short supply of data, measuring its accuracy and establishing its quality is more important than ever. Without quality data, your analysis can develop blind spots, rendering you toothless in the face of uncertainty.

Real estate firms have traditionally relied on historical data to reinforce their decision-making process. With the inception of Big Data though, they now have access to an intriguing list of variables that give much-needed insights into the threats and opportunities of a location.

The real estate variables to watch out for (In web data extraction)

Mckinsey points to an interesting observation in one of their blogs. Your common sense would probably convince you to consider just location to determine property prices. But is that all?

The greatest advantage that web scraping provides is the ability to harness web data for a more nuanced analysis of your prospect's needs and the overall real estate market in general.

Proximity to certain POI (Points of Interest) or geographic locations does affect a real estate’s price. But it's not limited to that. Turns out, property prices are affected by a mix of factors. The quantity and quality of service also inadvertently affect the equation. 

For instance, having two grocery stores near your location causes an increase in mortgage prices. But, add two more in the same radius, and the property price goes down.

The rise of property prices in Boston may not always guarantee the same increase in Detroit. A host of variables come into play, from population density to proximity to special community amenities.

You can gain access to these kinds of information by collecting web data. Here are some variables you can consider for effective real estate data analysis:

  • Points of Interest
  • Ratings and Reviews
  • Relevance of Points of Interest
  • Quantity of Points of Interest
  • Job Postings
  • Market Performance
  • Vacancy

Real estate data extraction: Where to get started

data points in real estate
Real estate data points you need to consider

Even though the creation of data is increasing exponentially every day, getting it in a structured format is by no means an easy feat. There are endless data points available on the internet along with endless sources you can get the data from.

As a realtor you can differentiate yourself by extracting data from the following popular sources:

data sources for real estate
Major data sources relevant for real estate data analysis

You can also gather information from government websites to inform your decision-making process. Perhaps you will find crucial correlations between apparently disparate variables.

But, data extraction is not as straightforward as it seems. To begin with, not all websites offer a reliable API to consistently receive the data in a structured format.

Which brings us to other enduring problems with web scraping, such as captcha solving, tackling dynamic content and automating proxy rotation, to name a few.

That is why many realtors and real estate aggregators turn to professional managed data extraction service providers like Grepsr to receive consistent high-quality data streams into their systems.

Applications of web data extraction in the real estate industry

Applications-of-real-estate-data
Lastly, a few applications of web data extraction in the real estate industry

Now, let’s get into the marrow of this article, the most palpable applications of web data extraction in the real estate industry:

1. Assessing property value

Some properties may appear low-value at first glance but can turn out to be a sound investment in hindsight. Web data is a reliable fodder to feed into Machine Learning algorithms to perform accurate predictive analytics.

In a vast real estate environment, it can be too daunting for a few variables to paint a full picture of the real ground reality.

Apart from the traditional data points like vacancy rate, home prices, market prices, and rent rates, you can leverage web data to factor in the wider market trends.

A property could be in a desirable proximity to community amenities like school, grocery stores, and hospitals, but if the crime rate in that area is high, prospective buyers would not want to move in. Thus, lowering the property’s price.

That is why it is imperative to consider wider demographic and macroeconomic indicators when it comes to appraising a property’s price.

Web data extraction enables you to gather such data at scale, and make informed decisions.

2. Determine market direction

Contrary to popular belief, and doubly proven, home prices do not always go up with time. They generally have an upward trajectory but inflationary pressures can induce unwarranted slumps in the real estate market, as we saw during the Great Recession of 2008.

Since national trends don’t always reflect on individual cities, home buyers and realtors are often advised to adopt a more extensive method to their data analysis.

Collecting different data points from various data sources can improve your decision-making, and give you a clear picture of where the overall trend is headed.

As we mentioned earlier, data points of job postings give a reliable indication of market direction. Employment preferences, pay scale, and job type are necessary data points you can factor into your data collection efforts for effective analysis.

3. Improve decision-making

We saw how you can use data to correctly assess a property's value. Moreover, we hope by now you understand how important it is to incorporate wider economic trends into your analysis.

Leveraging Big Data into your BI framework has two marked advantages.

Firstly, you get to include a variety of variables in your analysis, thus widening the scope of your research.

And, all of this happens at speed, thus allowing you to make quick and accurate decisions.

4. Highly-targeted marketing

Here’s a food for thought: Many studies have shown that millennials are holding off having kids of their own and splurging on their pets instead.

Perhaps a realtor can take advantage of this fact and focus on marketing pet-friendly property to millennials? Maybe it’s not proximity to schools, but closeness to a veterinarian clinic they are looking for in a property?

There are many insights hidden within web data, one of them being the thoughts and feelings of your prospects. Social media and discussion forum monitoring can provide a qualitative angle to your ICP (Ideal Customer Profile) build up.

Affordability is another factor you might want to consider when marketing to your customer base. Web scraping provides you with insights into your target audience’s career, interest, and lifestyle.

In an age where your customers are already sharing their wants and desires on the internet, the onus falls on real estate marketers to use Big Data technology to the best of their ability to reach out to them.

5. Effective risk management

When you are feeding real-time actionable data into your analysis, a lot of risks are naturally eliminated.

Reiterating the points expanded in the above sections, insights gained from web data helps you scientifically evaluate a property’s price under the prevailing market conditions, and improve your decision-making.

Moreover, machine learning and predictive analytics tools enable realtors and prospective home buyers to remove guesswork out of the picture and make sound judgements.

Furthermore, they can even go an extra level and extract historical data pertaining to a property’s insurance, retrofitting and inhabitation over time to further sieve through the property’s performance.

By now, you probably see a common theme emerge here. The web is a treasure trove of information. The more variables you can find for your Machine Learning algorithm, the better your risk-tolerance ability becomes.

In conclusion

Our emphasis in this article has been to stray away from the opinions propelled by Mr. Market.

Real estate market analysis has to be based on facts and figures and not on emotions and subjective thoughts.

Over-reliance on one particular model is not pragmatic either. The best way forward is walking a fine line between data and experience.

Since real-time data is already available out there on the web, we advocate the adoption of web data to inform your decision-making in the real estate industry.

To that end, web scraping data is the best way forward, for which, you can always count on Grepsr. We come with proven experience in managed data extraction, with a laudable track record of serving some of the biggest brands in the world.

Web scraping is not very straightforward. When done at scale, the technology and expertise required to account for the data volume increase as well. Grepsr takes away the hassle of you having to incur such costs. We process data in the billions, and in cases where your data requirements increase, you have nothing to worry about.

Provided you entrust your data projects on Grepsr, of course.

Perhaps the time is nigh for a new character to enter the fray — Mr. Data, anybody?

Web data made accessible. At scale.
Tell us what you need. Let us ease your data sourcing pains!
BLOG

A collection of articles, announcements and updates from Grepsr

inductive-and-deductive-reasoning

Logical Reasoning. Inductive Vs Deductive Reasoning 

Have you ever wondered how Sherlock Holmes solved crimes? How businesses come up with ideas and decide on launching new products or upgrading their service? The answer lies in logical reasoning, and today we will learn how Big Data plays a crucial role in this process. Everything we do online generates data, the zettabytes of […]

Big-Data-in-Business-Thumbnail

31 Mind-Blowing Statistics About Big Data For Businesses (2024)

Big Data — data so big we invented new words like zettabytes to measure it. Over 5 billion of us use the internet daily — and like muddy car tires, we leave tracks everywhere — our digital footprint. Whether it’s a quick Google search, posting on Instagram, or how long we spend watching Parks and […]

Data-vs-Information-Thumbnail

Data Vs Information. Learn Key Differences

Did you know that Netflix – the biggest online streaming service that produces and releases top movies and TV shows (you know, Stranger Things & Squid Game) owes its success to Big Data?  Their customer retention rate is 93%, the highest benchmark in the industry.  Surely, you’ve glimpsed the term “Big Data” thrown in some […]

RPA-is-a-replicator-thumbnail

RPA is a Replicator: An Organizational Tour De Force

Richard Dawkins’ concept of the “replicator” in his book “The Selfish Gene” provides a fascinating lens through which we can view the rise of Robotic Process Automation (RPA). In the book, Dawkins argues that genes, not organisms, are the true “replicators” in evolution. These self-replicating molecules carry the instructions for building and maintaining life. They […]

Walmart-blog-thumbnail

How Walmart’s Data Insights Can Power Your Retail Strategy

What do we know about Walmart? We know it’s the largest retailer in the world by revenue, with the company’s global sales crossing $600 billion.  We also know that the company has the world’s largest private cloud-based database – Data Café. And finally, it hires the maximum number of data scientists to leverage Big Data. […]

Overcoming-web-scraping-challenges

Common Challenges in Web Scraping and Their Solutions Using RPA

What comes to your mind when I say think of a detective?  A sharp mind, a piercing gaze that misses nothing, a sharp long nose, a smoke pipe always resting in his mouth, and a relentless pursuit of truth.  A man who stands out for his outstanding investigation skills.  Yes, you’re right. It’s Sherlock Holmes! […]

BlogThumbnail_Zillow_Scraping

Web Scraping Zillow: A Modern Approach to Real Estate

What comes to mind when we say the word ‘real estate’? Are you thinking of a broker dressed in a pantsuit, with shiny white teeth, walking across a manicured lawn? Or the smell of warm cookies wafting in from an open house with a ‘For Sale’ sign planted in the grass? For decades, buying and […]

Popular-ETL-Tools

Popular ETL Tools for Web Scraping

Learn about the most popular ETL tools in this blog. Ever felt like you’re searching for a specific detail buried deep within a massive website? That’s the essence of web scraping! And if you’re familiar with finding the needle in a haystack, you’ll understand the challenge. Web Scraping is essential and you must do it. […]

RPA-Web-Scraping

Transforming Operations: RPA and Web Scraping in Action

Imagine a world where you no longer have to do the repetitive grunt work that neither sparks joy nor creativity.  It completely vanishes from your sight as you have digital robots that tirelessly do structural tasks following a regular pattern without any turmoil.  As a result, you are released from the shackles of mundane labor.  […]

Reddit blog thumbnail

Mine Reddit’s Billions of Opinions: Web Scraping Reddit and Sentiment Analysis (2024)

In January 2024 alone, there were 7.57 billion visits to Reddit. There are 2.8 million subreddits with discussions on everything imaginable — from r/cats to r/memes and one of our personal favorites, r/dataisbeautiful.  These numbers in billions and millions are indicative of Reddit as one of the largest online communities in the world; which makes […]

ETL for Web Scraping

ETL for Web Scraping – A Comprehensive Guide

Dive into the world of web scraping, and data, learn how ETL helps you transform raw data into actionable insights.

Web-scraping-rpa-integration

Web Scraping Best Practices for RPA Integration

The new era of RPA- a shift from manual hard work to automated smart work in business.  RPA is the process of automating routine and repetitive tasks in business operations. Robotic Process Automation uses technology that is steered by business logic and structured inputs. People might mistake it for a robot doing their mundane jobs […]

web-scraping-services-for qualitative-data-collection

Harness The Power of Web Scraping Services for Qualitative Data Extraction

With the rise in Global Big Data analytics, the market’s annual revenue is estimated to reach $68.09 billion by 2025. Like the vast and deep ocean, Big Data encompasses huge volumes of diverse datasets that gradually mount with time. It refers to the enormous datasets that are far too complex to be handled by traditional […]

Introduction to Web Scraping & RPA

Web scraping automatically extracts structured data like prices, product details, or social media metrics from websites. Robotic Process Automation (RPA) focuses on automating routine and repetitive tasks like data entry, report generation, or file management. When seamlessly integrated through tools like webhooks or API calls, these technologies can significantly boost an organization’s operational efficiency by […]

what-is-quantitative-data

Quantitative Data: Definition, Types, Collection & Analysis

Data is ubiquitous and plays a vital role in helping us understand the world we live in. Quantitative data, in particular, helps us make sense of our daily experiences.  Whether it’s the time we wake up in the morning to get to work, the distance we travel to get back home, the speed of our […]

Scrape-google-trends-data

Extract Google Trends Data by Web Scraping

Approximately 99,000 search queries are processed by Google every passing second. This translates to 8.5 billion searches per day and 2 trillion global searches per year.  From the estimated data, we can consider that an average person conducts between three to four searches every day.  “Explore what the world is searching” – Google Trends. The […]

Looking-back-at-2023-thumbnail

2023 in a Nutshell: A Retrospective

2023 in a nutshell: Antifragile growth, soaring NPS at 52, MENA data enthusiasm, tech revolution, Pline launch, and a new workspace facility – all in one exciting year!

How to scrape blog posts

Blog Scraping: Uncover Opportunities for Data-Driven Growth

A study by HubSpot marketing shows that those businesses who publish blogs get 55% more website visitors, 77% more inbound links, and 434% more indexed pages than those who don’t.  The ultimate goal of any business is to continually increase its lead conversion rate. Content is essentially what leads the organization to bring more leads […]

AI and Web Scraping

Relevance of Web Scraping in the Age of AI 

Artificial Intelligence (AI) has flourished into a rapidly evolving domain of computer systems that can function perfectly in tasks that need human intelligence. Statistics claim that the market volume for AI is projected to reach $738.80 billion by 2030. This essentially means that there is a growing demand for AI-related services, leading to an expansion […]

what-is-etl-in-data

ETL Data and Web Scraping Brilliance

Did you know that in a world drowning in information, making sense of raw data from the internet is like finding a needle in a haystack? However, looking at the silver lining, the dynamic duo – ETL and web scraping can unravel the chaos of unlimited, unstructured data into clarity and make sense.  ETL is […]

Buy Box on Amazon

Buy Box Data: What Every Seller Needs to Know 

Did you know, winning the Buy Box can increase your chances of becoming an Amazon best-seller? The Buy Box accounts for 90% of the total sales on the platform, making it crucial for sellers to leverage the Buy Box data.  Amazon is at the helm of the overdrive in the e-commerce industry. Living proof of […]

Managed_Data_for_Business_Intelligence

Boosting Business Intelligence with Managed Data Extraction

Did you know that Lotte, a South Korean conglomerate increased their sales up to $10 million thanks to Business Intelligence? Business Intelligence is the process of collecting, analyzing, and presenting raw data that is transformed into meaningful insights. It involves methodologies that ultimately aid the business in making strategic and actionable data-driven decisions. For a […]

Unleash-the-power-of-cyber-monday

E-commerce in Overdrive: Unleash the Power of Cyber Monday 

In 2022, Cyber Monday accomplished a remarkable feat, propelling e-commerce sales to an impressive $11.3 billion—an extraordinary 5.8% increase, setting a new benchmark for online shopping. As the holiday season approaches, the global culture of bestowing gifts and celebration is also at an all-time high. For these times to be extra special, people look for […]

Car-Rental-Data

Holiday Fleet Management: A Roadmap to Data-Driven Success in Car Rentals

In today’s car rental industry, data isn’t just an option; it’s the key to making pivotal decisions that drive success. The car rental industry is poised for a lucrative path ahead, with a projected revenue surge to $146.7 billion in 2028 at a CAGR of 7.4%. The holiday season ignites a desire to explore and […]

Data Scraping

The Simplicity of Employing No-Code Web Scraping

Unlock the Power of No-Code Web Scraping: Transform Your Business with Data-Driven Success. Learn how web scraping and external data providers can revolutionize your industry. Explore real-world examples and discover the simplicity of harnessing valuable data.

Car-rental-data-thumbnail

Drive Success with Car Rental Data Extraction

Tap into the capabilities of car rental data extraction with Grepsr. Outperform competitors, fine-tune fleet management, and just do more.

POI data enrichment

The Power of Web Scraping: Enriching POI Datasets

Discover how web scraping is revolutionizing the extraction and enrichment of POI data, ensuring accuracy and timeliness

Customer-reviews-scraping-banner

Customer Sentiment Analysis and the Role of Web Scraping

Web scraping is indispensable for any Customer Sentiment Analysis Project. Learn how you can leverage web scraping to your advantage.

Mastering Data Visualization in Python with Grepsr’s Data

In a world where data reigns supreme, the ability to make sense of the overwhelming volume of information is nothing short of a superpower. Harnessing the power of data visualization in Python is a superpower in itself. From interactive charts and graphs to immersive dashboards, visualization helps businesses and individuals gain insights from data.  But […]

Web-data-to-excel

Extracting Data from Websites to Excel: Web Scraping to Excel

Web scraping and Excel go hand in hand. After extracting the data from the web, you can then organize this data in Excel to capture actionable insights. The internet, by far, is the biggest source of information and data. Juggling through multiple sites to analyze data can be quite irksome. If you are analyzing vast […]

in-house vs external service provider

Five Reasons Why You Need an External Data Provider

Web data extraction of large datasets is almost impossible with in-house capabilities. Learn why you need an external data provider.

jobs-data-analysis

Analyzing US Job Postings Data to Understand Job Market & Economy

Leveraging one of Grepsr’s job postings data projects to gather insights — the hottest industries and employers, including working conditions

Web Scraping for Lead Generation: Open a Portal to Sales

Reaching out to leads and converting them into customers doesn’t have to be a shot in the dark. Web scraping can help you get access to high-quality leads databases and scale your lead generation process.

web scraping data solution

Web Scraping: An Unlikely Data Solution

Data has now become something of a currency in the twenty-first century. But, when you think of data, does web scraping come to your mind?  We’re here to tell you it should.

web scraping with python

Web Scraping with Python: A How-To Guide

Most businesses (and people) today more or less understand the implications of data on their business. ERP systems enable companies to crunch their internal data and make decisions accordingly. Which would have been enough by and itself if the creation of web data did not rise exponentially as we speak. Some sources estimate it to […]

web-scraping-with-php

How to Perform Web Scraping with PHP

In this tutorial, you will learn what web scraping is and how you can do it using PHP. We will extract the top 250 highest-rated IMDB movies using PHP. By the end of this article, you will have sound knowledge to perform web scraping with PHP and understand the limitation of large-scale data acquisition and […]

service better than tools

Why Data Extraction Services are Better Than Tools for Enterprises

The key factors that set a data extraction service apart from its do-it-yourself variant

grepsr partners with datarade

Press Release: Grepsr joins Data Commerce Cloud (DCC) to meet global need for actionable, on-demand DaaS solutions

Dubai, UAE / Berlin, Germany. 1 December 2022 – Grepsr, provider of custom web-scraped data, has become a Premium Partner of Datarade’s Data Commerce Cloud™, the platform which makes data commerce easy. Grepsr’s data products are now available to buy on Datarade Marketplace and other DCC sales channels. Grepsr processes 500M+ records, parses 10K+ web sources, and extracts data […]

Screen Scraping: 4 Important Questions for Scoping your Web Project

Screen scraping should be easy. Often, however, it’s not. If you’ve ever used a data extraction software and then spent an hour learning/configuring XPaths and RegEx, you know how annoying web scraping can get. Even if you do manage to pull the data, it takes way more time to structure it than to make the […]

data in travel & tourism

Significance of Big Data in the Tourism Industry

In a post-pandemic reality, big data helps travel agents and travelers make better decisions, minimize risks, and still have memorable holidays.

Grepsr’s 2021 — A Year in Review

Our growth and achievements of the past year, and reasons to get excited in 2022

web scraping

A Smarter MO for Data-Driven Businesses

Data is key to future-proofing your brand. Web scraping is the first step towards achieving long-term data-driven business success.

data analysis

Business Data Analytics — Why Enterprises Need It

Objectivity vs subjectivity The stories we hear as children have a way of mirroring the realities of everyday existence, unlike many things we experience as adults. An old folk tale from India is one of those stories. It goes something like this: A group of blind men goes to an elephant to find out its […]

data quality

Perfecting the 1:10:100 Rule in Data Quality

Never let bad data hurt your brand reputation again — get Grepsr’s expertise to ensure the highest data quality

data visualization

Data Visualization Is Critical to Your Business — Here Are 5 Reasons Why

Data visualization is a powerful tool. When done correctly, it is a much more elegant method of explaining even complex concepts compared to lengthy texts and paragraphs. Maps and graphs have existed since the 17th century as a means of visualizing data. It was in the mid-1800s that the world saw one the first examples […]

data normalization

What is Data Normalization & Why Enterprises Need it

In the current era of big data, every successful business collects and analyzes vast amounts of data on a daily basis. All of their major decisions are based on the insights gathered from this analysis, for which quality data is the foundation. One of the most important characteristics of quality data is its consistency, which […]

airfare data

Benefits of Using Web Scraping to Extract Airfare Data from OTAs

Use web scraping to extract airfare data from OTAs and airlines’ websites to give your customers the best possible start to their holiday experience.

legality of web scraping

Legality of Web Scraping in 2024 — An Overview

Ever since the invention of the World Wide Web, web scraping has been one of its most integral facets. It is how search engines are able to gather and display hundreds of thousands of results instantaneously. And also how companies build databases, develop marketing strategies, generate leads, and so on. While its potentials are immense, […]

image scraping

Image Scraping — What is It & How is It Done?

From retail and real estate to tourism and hospitality, images play a vital role in influencing customer decisions. Hence, it is important for brands to see what kinds of photos are turning prospects into customers. On the other side, customers go through numerous products and images before settling on a final choice. Similarly, analysts browse […]

data from alternate sources

Data Scraping from Alternate Sources — PDF, XML & JSON

An unconventional format — PDF, XML or JSON — is just as important a data source as a web page.

QA protocols at Grepsr

QA at Grepsr — How We Ensure Highest Quality Data

Ever since our founding, Grepsr has strived to become the go-to solution for the highest quality service in the data extraction business. In addition to the highly responsive and easy-to-communicate customer service, we pride ourselves in being able to offer the most reliable and quality data, at scale and on time, every single time. QA […]

benefits of high quality data

Benefits of High Quality Data to Any Data-Driven Business

From increased revenue to better customer relations, high quality data is key to your organization’s growth.

quality data

Five Primary Characteristics of High-Quality Data

Big data is at the foundation of all the megatrends that are happening today. Chris Lynch, American writer More businesses worldwide in recent years are charting their course based on what data is telling them. With such reliance, it is imperative that the data you’re working with is of the highest quality. Grepsr provides data […]

11 Most Common Myths About Data Scraping Debunked

Data scraping is the technological process of extracting available web data in a structured format. More businesses globally are realizing the usefulness and potential of big data, and migrating towards data-driven decision-making. As a result, there’s been a huge rise in demand in recent years for tools and services offering data for businesses via Data […]

amazon scraping challenges

Common Challenges During Amazon Data Collection

Over the last twenty years, Amazon has established itself as the world’s largest ecommerce platform having started out as a humble online bookstore. With its presence and influence increasing in more countries, there’s huge demands for its inventory data from various industry verticals. Almost all of the time, this data is acquired via web scraping […]

amazon data extraction

Customer Review Insights: Analyzing Buyer Sentiments of Amazon Products

Actionable insights from Amazon reviews for better decision-making

A Look Back at Grepsr’s 2020

A brief look at Grepsr's achievements in data extraction and industry reach in 2020, and a glimpse into 2021 plans.

Our Newly Redesigned Website is Live!

We’ve redesigned our website to make it easier for you to find what you’re looking for

Preview the New Look Grepsr App

Everybody’s favorite big data tool is getting a fresh coat of paint (and some behind-the-scenes tweaks)

data mining during covid

Role of Data Mining During the COVID-19 Outbreak

How web scraping and data mining can help predict, track and contain current and future disease outbreaks

Grepsr’s 2019 — A Year (and Decade) in Review

Time flies when you’re having fun

Introducing Grepsr’s New Slack-like Support

Making our data acquisition specialists more accessible to busy professionals

Introducing Grepsr’s Data Quality Report

Quality assured data to help you make the best business decisions

Report History/Activity on the Grepsr App

A walk-through detailing your report history and how to access (and download) your report’s data from historic crawl runs

Data Retention in Grepsr

New policy announcement

Automate Future Crawls Using Scheduler

Configure and enable schedules to automate future crawls

Data Delivery via Email

Have your Grepsr files automatically delivered by email

Data Delivery via Dropbox

Have your Grepsr files synced automatically to your Dropbox

Data Delivery via FTP

Have your Grepsr files synced automatically to your FTP/SFTP server

Data Delivery via Webhooks

Get notified as soon as your Grepsr data is ready

Data Delivery via Google Drive

Have your Grepsr files synced automatically to your Google Drive

Data Delivery via Amazon S3

Have your Grepsr files synced automatically to your Amazon S3 bucket

Data Delivery via Box

Have your Grepsr files synced automatically to your Box account

Data Delivery via File Feed

Under File Feed, there are two URLs — marked ‘Latest’ and ‘All’. Here’s a brief demo:

Customized Data Extraction via Grepsr Concierge

Although Grepsr for Chrome is a powerful tool in itself, it sometimes lacks the capability to extract data from some websites that are poorly structured, where data fields are hidden, and so on. Here we give you a simple demonstration on how you can get data from these complex websites via our custom platform — Grepsr Concierge. […]

Common Issues and Tips to Get the Best out of Grepsr

We know how annoying it is when you’ve spent time setting up Grepsr for Chrome to collect your data fields, and then you get back partial or no data at all.

A New Look to the Grepsr App

If you’re a regular Grepsr app user, you may have noticed a slightly modified navigation bar with some new icons at the top of the Grepsr data extraction platform. Previously, all projects would be listed in one place. Now, to make things simpler and more streamlined, we’ve separated the app into two parts based on […]

Grepsr — the Numbers That Matter

Our stats since the start of 2018

Feeds & Endpoint API for Your Data in Grepsr

In our last post, we showed you how to automate your data delivery process in the Grepsr app. This time let’s have a quick look at data feeds and endpoints[*]. Your scraped data’s Endpoint API is the final stop it makes in its journey— starting from the host website, then to your Grepsr account via our crawler, and […]

Automate Your Data Delivery on the Grepsr App

I’m sure you’ve already got the hang of Grepsr for Chrome by now. If you’re like some of our users who are inquiring about data delivery on the app, then this blog is for you! Once you’ve set up your project and the app starts to extract your data, depending on the volume of data requested, it might […]

web scraping with python

Track Changes in Your CSV Data Using Python and Pandas

So you’ve set up your online shop with your vendors’ data obtained via Grepsr’s extension, and you’re receiving their inventory listings as a CSV file regularly. Now you need to periodically monitor the data for changes on the vendors’ side — new additions, removals, price changes, etc. While your website automatically updates all this information when you […]

Kick-Start Your E-commerce Venture with Grepsr

400+ million entrepreneurs worldwide are attempting to start 300+ million companies, according to the Global Entrepreneurship Monitor. Approximately a hundred million new businesses start every year around the world, while a similar number also fold. What sets successful firms apart are the innovations and resources they utilize that help them stay healthy and relevant. Grepsr […]

How to Use Grepsr Browser Tool to Scrape the Web for Free

A beginner’s guide to your favorite DIY web scraping tool Just over a year ago, we introduced the all new Grepsr along with a beta launch of Chrome extension to fill the gap that Kimono Labs, a widely popular scraping tool, left since it’s closure. Now after a year of iteration on both the UI and UX along with shipping […]

Our Kimono Labs Replacement (Grepsr for Chrome) Levels Up

We’ve recently made a number of improvements to make Grepsr for Chrome that little bit easier, and more handy to use. We’ve also received tons of feature requests (keep ’em coming!), so we thought we’d share couple of our favorites that have most recently made it into Grepsr for Chrome. Infinite Scrolling and Enhanced Pagination Support From […]

Importance of Web Scraping in the Age of Big Data

Big Data has become an internet buzz lately. Not a day goes by without a mention of Big Data in many articles published by media or tech companies around the world.

FIVE Essential Questions for Assessing your Big Data Deployment Readiness

Big Data isn’t just a big buzzword. Nor is it merely a business ritual. Ask yourself these 5 essential questions to know if you business is ready for data-driven transformation in the Big Data era

Seven Key Areas Where Big Data has Brought Big Transformations

As the volume, variety, and velocity of Big Data increases, so does its value and application. Today, there is a widespread use of Big Data, and the whole fabric of life has become increasingly data driven. Here is a brief review of 7 major areas which have gone through massive transformations driven by data: Business Business enterprises […]

Data Mining for Developing Business Intelligence

The growing use of digital technologies in every sphere of life has resulted in the rapid escalation of digital data. While digitization of the facilities of everyday use has given rise to datafication, the process of datafication has produced a byproduct known as big data, which is regarded as a new oil of the digital […]

How Grepsr Works: A Brief Introduction

Web crawling and data extraction services at Grepsr are simple, quick, hassle free and intuitive. We focus on providing top–quality services to our customers in the highly competitive rates. Our strong base–with cutting-edge technologies and advanced infrastructure–in Kathmandu and our maturing technical expertise in the area have helped us to compete with the top tire […]

11 Interesting Quotes about Data

These days, almost everybody—be it a casual technophile or a trailblazing technocrat—has something to say about the usefulness of data. Apparently, there is no area of human interest where you cannot achieve agility, efficiency, and better outcome by deploying data science. Business, astronomy, neuroscience and you name it. Data had never been generated with such […]

Big Data & the Power of Personalization

According to Wikipedia, Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. “Doing business without advertising is like winking at a girl in the dark. You know what you are doing, but nobody else […]

Big Data is Redefining News & Journalism

If digital data were something physical, it would have massively altered the shape of our world, probably, with new data mountains rising every hour. Whether you browse the web or flip pages of print media, you are sure to stumble upon some news about big data, all the while feeding the web with your digital […]

Data Mining: How Can Businesses Capitalize on Big Data?

In the recent years, data mining has become a prickly issue. The big controversies and clamors it has gathered in the political and business arenas suggest its importance in our time. No wonder, it is used as a household name in the business world. Data mining, in fact, is an inevitable consequence of all the technological innovations […]

Web Scraping vs API

Every system you come across today has an API already developed for their customers or it is at least in their bucket list. While APIs are great if you really need to interact with the system but if you are only looking to extract data from the website, web scraping is a much better option. […]

Web Crawling Software or Web Crawling Service

Some people ask us if we are a “service” or a “software”. We simply tell them – we are a service, with killer software that runs behind the scenes! 🙂 Also, lot of our customers ask us, why go for a Web Crawling Service over a Web Crawling Software? The answer is pretty straight forward. […]

Managed Data Extraction Service

Grepsr is what we like to call, “Managed Data Extraction Service”. Here are some of the reasons why we call it “managed”: We let you focus on your business and use the data — worrying about technical details of extraction is our job, and we will do it for you. We let you describe your […]

arrow-up-icon