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E-commerce

How Grepsr Transformed Merchant Data Extraction for an Affiliate Network Aggregator

A prominent affiliate network aggregator, partnered with Grepsr to automate the extraction of mercha...
E-commerce

App Scraping Done Right

We reverse-engineered the mobile architecture and API behavior of a top food delivery app to extract...
AI/ML

The Web Data Engine Behind Agentic Insurance

Once confined to research labs and intelligence agencies, AI is now as essential—and ubiquitous—...
Real Estate

How a Property Management Firm Generated New Leads with Real Estate Data Extraction

Real estate data extraction is one of the most popular use cases we handle at Grepsr. Property intel...
AI/ML | Analytics

How Grepsr Turned Social Media Data into Strategic Insights for a Beer Company

In 2022, a leading AI company partnered with Grepsr to support multiple client projects requiring la...
E-commerce

How an Agribusiness Achieved E-commerce Precision with Web Scraping

Automated e-commerce scraping brought accuracy and speed to this agribusiness’s pricing strategy.
Analytics

How Better Data Got a Leading Automation Firm Back on Track

Smarter web scraping for lead generation helped a leading automation firm overcome stagnant growth.
Market Research

Grepsr Partners With an AI Analytics Platform to Equip Premier Global Brands with Powerful Insights

Empowering a leading AI analytics platform with high-priority data at scale to serve its global clie...
Broadcast Media | Consumer Electronics

Customer Sentiment Analysis to Build Better Products and Establish New Revenue Channels

Grepsr's data solutions empower a video streaming leader to expand into manufacturing, and disrupt t...
BLOG

A collection of articles, announcements and updates from Grepsr

Why Smart Businesses Track Their Competitors Every Day

Why Smart Businesses Track Their Competitors Every Day

The market never sleeps. Competitors launch new products, change prices, run promotions, and update content around the clock. Businesses that fail to monitor these changes daily risk falling behind. Smart companies don’t wait. They track competitors every day to gain insights, react quickly, and stay ahead. Grepsr makes this easy. By automating data collection from […]

How Companies Monitor Thousands of Websites Without Hiring Analysts

How Companies Monitor Thousands of Websites Without Hiring Analysts

Keeping up with thousands of websites manually is impossible. Product prices change, competitor campaigns launch, news breaks, and customer reviews appear—all in real time. Companies that rely on humans alone fall behind. Grepsr solves this problem. It allows businesses to monitor websites at scale without hiring a large team of analysts. Automated scraping, APIs, and […]

The Internet Is the Largest Dataset in the World — Most Companies Don’t Use It

The Internet Is the Largest Dataset in the World — Most Companies Don’t Use It

Every second, the internet grows. Billions of pages. Trillions of updates. Product listings, pricing changes, customer reviews, social media posts, news articles, job openings—you name it. Most companies ignore it. They rely on old reports, surveys, and internal data. Meanwhile, competitors using online data gain a massive advantage. Grepsr changes the game. It turns the […]

How Do Companies Monitor Their Competitors Online?

How Do Companies Monitor Their Competitors Online?

Businesses need to stay aware of competitors’ moves to make strategic decisions, adjust pricing, identify market opportunities, and improve products or services. Monitoring competitors online provides real-time insights from public sources such as websites, social media, marketplaces, news outlets, and job postings. Grepsr helps companies collect and structure this data efficiently, so teams can focus […]

How Do Analysts Collect Data From the Internet?

How Do Analysts Collect Data From the Internet?

Analysts rely on internet data to track trends, watch competitors, and make better business decisions. Websites have large amounts of information, such as product listings, pricing data, news articles, job postings, reviews, and public datasets. However, collecting this data efficiently and accurately requires the right tools and systems. With Grepsr, analysts can turn raw web […]

Web Scraping for Media Monitoring: How Grepsr Helps You Track News at Scale

Web Scraping for Media Monitoring: How Grepsr Helps You Track News at Scale

Organizations today rely heavily on news and media coverage to understand public perception, track industry developments, and monitor competitors. With thousands of articles, blog posts, and updates published every hour across global media outlets, niche publications, and regional platforms, manually tracking this information is nearly impossible. Media monitoring automates this process, continuously collecting and analyzing […]

Can Websites Be Used as a Data Source?

Can Websites Be Used as a Data Source?

The internet publishes an enormous amount of information every day. Product catalogs, job listings, financial updates, company announcements, and market trends are constantly updated across thousands of websites. For businesses that rely on data to make decisions, this raises an important question. Can websites be used as a reliable data source? The answer is yes. […]

How Businesses Turn Public Websites Into Useful Data

How Businesses Turn Public Websites Into Useful Data

Public websites contain an enormous amount of valuable information. Product prices, job listings, company announcements, financial data, and customer reviews are published online every day. For businesses, this information can provide critical insights into markets, competitors, and industry trends. The challenge is that most websites present information in formats designed for human readers, not for […]

How to Scrape Thousands of News Articles Per Day

How to Scrape Thousands of News Articles Per Day

News is published continuously across global media outlets, industry blogs, and specialized news platforms. For businesses, analysts, and researchers who rely on timely information, collecting a handful of articles manually is rarely enough. Monitoring trends, tracking competitors, or building datasets for AI applications often requires collecting thousands of news articles every day. Manually visiting individual […]

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