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Scaling AI: How Grepsr Helped Improve Speech Recognition
Grepsr helped an AI leader collect 1M+ videos, delivering high-quality data for advanced speech recognition. See how scalable data extraction drives AI training.
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...App Scraping Done Right
We reverse-engineered the mobile architecture and API behavior of a top food delivery app to extract...The Web Data Engine Behind Agentic Insurance
Once confined to research labs and intelligence agencies, AI is now as essential—and ubiquitous—...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...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...How an Agribusiness Achieved E-commerce Precision with Web Scraping
Automated e-commerce scraping brought accuracy and speed to this agribusiness’s pricing strategy.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.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...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...A collection of articles, announcements and updates from Grepsr
How Real Estate Teams Can Monitor Rental Yields and Maximize ROI
Rental yields and investment returns are central metrics for real estate teams, investment managers, and PropTech product managers. Understanding rental performance, evaluating ROI, and comparing investment opportunities requires accurate, timely, and structured data across neighborhoods, property types, and market segments. However, collecting rental and ROI data manually or relying on fragmented sources often results in […]
How Real Estate Teams Can Track Price Trends and Market Shifts Effectively
Understanding property price trends and market movements is essential for making informed real estate decisions. Analysts, investment teams, PropTech product managers, and brokers rely on accurate, timely, and comprehensive data to identify opportunities, mitigate risks, and optimize portfolio performance. Yet tracking these trends across multiple property types, neighborhoods, and sources presents significant challenges. Manual methods, […]
How Real Estate Teams Can Harness Large-Scale Listings Data for Smarter Investments
Real estate decisions, whether pricing a property, evaluating rental yields, or identifying emerging investment opportunities, depend on access to accurate and comprehensive data. However, aggregating property listings at scale from multiple sources is complex. Analysts, PropTech product managers, brokers, and investment teams often face fragmented data, inconsistent updates, and manual collection processes that slow decision-making. […]
How to Track Demand, Trends, and Consumer Signals Effectively
E-commerce teams, product managers, and marketplace operations leads rely on real-time data to make fast, informed decisions. Demand fluctuations, emerging trends, and shifts in consumer behavior directly impact pricing, inventory, marketing, and product planning. Without structured and timely data, teams are forced to react slowly, often missing revenue opportunities or failing to anticipate market shifts. […]
How to Aggregate Product Catalogs and Normalize SKUs
E-commerce teams face constant challenges managing large product catalogs across multiple marketplaces. Inconsistent SKUs, duplicate listings, and fragmented product data make pricing, inventory, and reporting difficult. For product data teams, marketplace operations leads, and e-commerce managers, the goal is simple: have a unified, accurate catalog that allows fast, reliable decision-making. Manual processes and disconnected tools […]
Marketplace Seller, Buy Box, and Ratings Intelligence: A Data-Driven Approach for E-Commerce Teams
E-commerce managers, marketplace operations leads, and product data teams face constant pressure to optimize sales and maintain visibility across online marketplaces. Success depends on understanding seller activity, Buy Box ownership, and product ratings. Without structured data, teams struggle to respond quickly to competitors, protect their listings, and maintain high seller performance standards. Manual tracking or […]
Competitor Price and Inventory Monitoring: A Data-Driven Solution for E-Commerce Teams
E-commerce managers, pricing analysts, and marketplace operations leads face constant pressure to stay competitive. Success depends on understanding competitor pricing, inventory levels, and marketplace activity. Manual tracking and outdated methods slow teams down and lead to missed opportunities. This guide shows how structured web data pipelines and managed services like Grepsr allow e-commerce teams to […]
Protect Your Brand with MAP Enforcement and Compliance Monitoring
For e-commerce teams, brand managers, and marketplace operations leads, maintaining brand integrity and enforcing Minimum Advertised Price (MAP) policies is critical. Unmonitored pricing violations, inconsistent listings, and unauthorized sellers can erode margins, reduce trust, and harm brand reputation. Manual tracking or isolated monitoring tools are often inadequate. Teams struggle to keep pace with hundreds or […]
Track Competitive AI Signals and Product Intelligence with Grepsr
In AI-driven markets, staying ahead of competitors requires more than internal analytics. Teams need to continuously track product releases, feature updates, pricing changes, and adoption trends. Without structured intelligence, companies are forced to react rather than anticipate market shifts. Traditional market research or manual monitoring is slow, incomplete, and often outdated. Static datasets and ad […]
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