Data Management Platform > DATA INFRASTRUCTURE
Purpose-built data infrastructure for high-volume web data extraction
Mission to simplify access to web data
We are on a mission to simplify access to quality web data, at scale. We believe our customers should focus on growing their businesses rather than deal with the complexities of web data collection. There are myriads of technical and process related challenges that come along, and being in the business over a decade, we have seen and solved all those.
500M+
Records processed per day10K+
Web sources parsed per day99%
Data reliabilityData collection infrastructure & capabilities
Here's a sneak peek into the capabilities of our time-tested infrastructure that handles issues behind the scenes:
Smart traffic routing
We use a variety of tried and tested models and processes to make sure our data collection efforts are routed to different geo IPs so you can gain access to reliable web data.
Geo-specific extractions
In addition to the driven, innovative, and creative engineers, our talent pool has also accumulated specialized skill sets on extracting web data from the farthest reaches of the internet.
Traffic throttling use-cases
For the last decade, we’ve accumulated the process, tech infrastructure & many use-cases that have rendered some of the most difficult web scraping jobs a walk in the park.
Anomaly detection
Data quality is key. To ensure your data's integrity, we have a strong QA infrastructure in place that detects anomalies at the earliest, which pop up as notifications.
Low code
Our robust framework and unparalleled experience allow our engineers and analysts to set up your data extraction project with a low volume of code that yields quicker turnaround times.
Humans in the loop
We understand that no AI is perfect yet. Our data collection infrastructure has humans in the loop to complete any complicated extraction such as captchas, manual interventions, and QA.
Large scale data management platform
Make data-driven decisions with confidence. Extract high-quality data at scale, and generate consequential insights.
Data Infrastructure
Designed for high volume web data
Advanced data infrastructure to handle millions of pages every hour. Round-the-clock IP rotation and auto throttling to avoid detection, and prevent harm.
Data Infrastructure
Quality at Scale
Designed to deliver data for immediate deployment
A veritable mixture of people, processes, and technology to ensure high quality in any given dataset. Robust QA checks and balances to detect data issues.
Quality Management
Team Collaboration
Designed to ensure seamless flow of information
A dedicated private channel to keep you and your team in the loop. Prompt communication of change requests and updates to instrument crawlers when needed.
Team Collaboration
Integration & Automation
Designed to automate data acquisition
An intelligent platform to set up custom schedules and automate routine extractions to run like clockwork. Flawless integration with popular platforms.
Data Integration
Minimize risks, maximize profits
Stay away from the mistakes of the past. Make a future-proof business plan with data.
A collection of articles, announcements and updates from Grepsr
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 […]
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 […]
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 […]
Qualitative Data Analysis: Explore Types, Methods, and Examples
“Data is what distinguishes the dilettante from the artist.” — George V. Higgins What’s the first thing you think of when you hear “Data”? Most individuals start imagining the flow of numbers, facts & figures neatly illustrated in an Excel file. It all makes perfect sense because these represent Quantitative Data. These data are crucial […]
Car Rental Data Unwrapped: Merry Miles and the Christmas Story in the UK
Delve into the festive drive as we analyze 50K+ car rental records from ‘Sixt – Rent a Car’ during December 2023. From the holiday surges on Christmas Eve to discovering budget-friendly gems like the Kia Picanto, come with us as we decode the Merry Miles of Christmas car rentals in the UK. Holiday seasons bring […]
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 […]
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 […]
