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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
Scraping Amazon Product Information
An Expert Handbook for Reliable, Scalable, Business-Grade Data Amazon product data sits at the center of modern commerce intelligence. Pricing decisions, assortment planning, product launches, competitive analysis, and consumer insight all increasingly depend on one thing: accurate, continuously updated Amazon product information. Yet Amazon is also one of the most hostile environments for automated data […]
How to Harness Web Scraping with LLMs for Your Next AI Project
The modern AI landscape relies on one critical resource: data. Every successful AI project, whether it is a recommendation engine, a market intelligence tool, or an NLP model, depends on high-quality, relevant datasets. Most of this data exists across the web in formats that are messy, unstructured, or inconsistent. Web scraping combined with Large Language […]
How Hotels Maintain Listing Accuracy Across Hundreds of OTAs Using Web Scraping
Hotel listings across OTAs can make or break revenue. Even small inconsistencies in pricing, availability, room types, or amenities can confuse travelers, cause booking cancellations, and erode trust in your brand. For hotels operating across multiple OTAs and booking platforms, manually monitoring listings is almost impossible. That’s where web scraping becomes a game-changer. It allows […]
Using Web Scraping to Track OTA Promotions and Flash Sales in Hospitality
Promotions, flash sales, and limited-time discounts have become standard in the hospitality industry. Travelers are constantly hunting for deals across OTAs, booking platforms, and hotel websites. For hotels, knowing what competitors are offering is no longer optional—it directly impacts revenue. Traditional reporting methods cannot keep up with this fast-moving environment. Manual tracking is slow, and […]
Dynamic Pricing in Hospitality: Feeding Web Data into Revenue Management Systems
Pricing in hospitality is no longer static. Rates fluctuate by hour, demand, competitor behavior, and even device type. A hotel that cannot react quickly risks leaving revenue on the table or losing bookings to competitors. Dynamic pricing gives hotels the ability to adjust rates in real time based on market conditions. But dynamic pricing only […]
Identifying Distressed or Off-Market Vehicles for Dealer Investment Decisions
In the automotive industry, some of the most profitable inventory opportunities are not advertised prominently. Distressed vehicles, trade-ins, and off-market sales often offer higher margins than standard listings, yet they remain difficult to identify without a systematic approach. For dealers, missing these opportunities can mean lost revenue, overpaying for inventory, or holding vehicles that do […]
Web Scraping vs APIs for Travel Data Collection: What Actually Works at Enterprise Scale
In travel and hospitality, data is never static. Prices change throughout the day. Availability shifts by channel. Promotions appear and disappear without warning. What a traveler sees on one platform rarely looks the same on another. For teams responsible for pricing, revenue, market intelligence, or growth, external data is critical. It influences how rooms are […]
How Real Estate Teams Can Track Distressed and Off-Market Properties for Smarter Investments
Distressed, foreclosure, and off-market properties represent some of the most compelling opportunities for real estate investors. These properties often sell below market value, offering potential for high ROI, rental income, or redevelopment. However, monitoring these listings is challenging. Data is fragmented, irregular, and frequently outdated. Analysts, investment teams, PropTech product managers, and brokers need accurate, […]
How Data-Driven Project Tracking Improves Real Estate Strategy and ROI
For real estate teams, investment managers, and PropTech product managers, tracking new construction and development projects is essential for informed decision-making. Understanding the scope, timelines, pricing, and location of upcoming developments helps teams anticipate market shifts, optimize investments, and mitigate risks. However, collecting and managing this data manually is time-consuming and error-prone. Data is often […]
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