Discover the hidden costs of in-house web scraping
A popular Brazilian media website needed web content extraction across blogs, news sites, forums, and bookmarking platforms, delivering more than 300,000 fresh records every day to power its news portal launch.
A used car marketplace platform needed a car data API pulling vehicle listings from thousands of classified sites into one normalized, searchable index, delivered in multiple formats.
A leading sports website needed sports data scraping precise enough to link team details to game scores across tournaments, after being burned by vendors who delivered sub-par extractions.
An entertainment publisher covering Hollywood celebrities across multiple countries needed a content aggregation platform that pointed editors to the right stories instead of asking them to go find them.
A media house with strong editorial focus needed a news feed API fast enough to deliver articles within seconds of publication, categorized and ready to power its own portal.
A popular German automobile manufacturer needed brand reputation monitoring across social media, live within 3 days, to understand customer sentiment without managing the technical work itself.
A multinational computer technology company needed b2b intent data built from hiring trends across major job boards, turning job posting activity into a lead generation signal.
A US real estate intelligence firm needed commercial real estate data reliable enough to replace in-house crawling entirely, doubling qualified leads and growing profits 19 percent.
A B2B marketplace portal needed a property data API covering every real estate listing in a country, with new fields added anytime and results delivered noise-free at scale.
A healthcare research firm in the Netherlands needed pharma competitive intelligence spanning every medicine category on leading pharmaceutical portals, sustained across a 3 year analysis window.
A Japanese electronics manufacturer needed twitter data scraping to track brand and product mentions for sentiment analysis, live in 2 days with fresh data delivered every day.
An enterprise social listening platform needed a social listening API to track more than 5,000 keywords and phrases across specific European countries, queryable through simple boolean searches.
A social media intelligence house needed a media monitoring API that could aggregate news and social feeds from more than 5,000 geographically scattered sources, searchable across 1,000+ keywords, without the geo-tagging errors its own in-house attempt kept producing.
A mobile-centric marketplace for borrowing and lending needed mobile app scraping across 10 to 20 sites a month, precise down to latitude and longitude, to build its own listings and car-sharing database.
A popular Mexican credit card comparison portal needed a price comparison data feed pulling offers directly from bank websites, refreshed weekly and ready to use without any technical work on its own side.
A financial research firm needed alternative data providers to blend market and social signals from over 30,000 sources into daily trade recommendations, refreshed every 5 to 10 minutes.
A bakery business needed a restaurant database covering menus, demographics, and cuisine details across the largest US metro areas, delivered within a day of ordering.
A prominent Indian budget hotel chain needed hotel price data twice a day, in INR, across major OTAs, to match its own prices and identify expansion opportunities.
A popular Indian travel portal needed hotel pricing intelligence at scale, matching competitor rates across hundreds of thousands of listings, some updated as often as twice a day.
A travel review platform needed review aggregation across scattered hotel and destination sources worldwide, in every language, after earlier crawling attempts broke down at scale.
A popular Spanish airline needed flight schedule API data by aircraft model from a flight tracking site, delivered every 3 days to feed its internal schedule optimization system.
A leading US ecommerce retailer needed price benchmarking and location based data mining across its own stores and competitor sites, broken down by zip code, to replace a manual pricing and cataloging process.
A popular US travel portal needed travel data scraping across multiple partner sites, delivered daily, to keep its own listings database fresh without adding a data team.
A leading Indian apparel and lifestyle company needed digital shelf analytics across 6 online marketplaces and 26 brands to track competitive pricing and grow brand visibility.
A major US airline needed flight data API access across dozens of airline and travel agency sites to optimize pricing, doubling customer satisfaction and growing profits by 17%.
An electronics retail group needed price intelligence software data covering part numbers, quantity based pricing, stock levels, and lead times, delivered monthly at a scale reaching 250 million SKUs a year.
A US ecommerce platform needed web scraping for ecommerce product data, including every color and size variant, from more than 100 fashion retailers to launch its own fashion marketplace app.
One of Europe's largest ready-to-assemble furniture manufacturers needed retail price monitoring and customer review tracking across the ecommerce sites selling its products, without a single product URL to start from.
A global CPG manufacturer needed real-time competitor price monitoring across 500+ online marketplaces to defend margins and catch MAP violations before they hurt the brand.
A social media intelligence house needed a media monitoring API that could aggregate news and social feeds from more than 5,000 geographically scattered sources, searchable across 1,000+ keywords, without the geo-tagging errors its own in-house attempt kept producing.
A mobile-centric marketplace for borrowing and lending needed mobile app scraping across 10 to 20 sites a month, precise down to latitude and longitude, to build its own listings and car-sharing database.
A popular Mexican credit card comparison portal needed a price comparison data feed pulling offers directly from bank websites, refreshed weekly and ready to use without any technical work on its own side.
A financial research firm needed alternative data providers to blend market and social signals from over 30,000 sources into daily trade recommendations, refreshed every 5 to 10 minutes.
A bakery business needed a restaurant database covering menus, demographics, and cuisine details across the largest US metro areas, delivered within a day of ordering.
A prominent Indian budget hotel chain needed hotel price data twice a day, in INR, across major OTAs, to match its own prices and identify expansion opportunities.
A popular Indian travel portal needed hotel pricing intelligence at scale, matching competitor rates across hundreds of thousands of listings, some updated as often as twice a day.
A travel review platform needed review aggregation across scattered hotel and destination sources worldwide, in every language, after earlier crawling attempts broke down at scale.
A popular Spanish airline needed flight schedule API data by aircraft model from a flight tracking site, delivered every 3 days to feed its internal schedule optimization system.
A leading US ecommerce retailer needed price benchmarking and location based data mining across its own stores and competitor sites, broken down by zip code, to replace a manual pricing and cataloging process.
A popular US travel portal needed travel data scraping across multiple partner sites, delivered daily, to keep its own listings database fresh without adding a data team.
A leading Indian apparel and lifestyle company needed digital shelf analytics across 6 online marketplaces and 26 brands to track competitive pricing and grow brand visibility.
