Self-service scrapers
Run prebuilt scrapers and save queries for repeat extractions.
Web scraping platform and managed service delivering structured public web data on schedule or by API.
ScrapeHero is a cloud-based web scraping platform and data service that turns public web data into structured datasets. Customers can use self-service scrapers, buy ready-made datasets such as store locations, or commission custom scraping projects delivered on a schedule or through APIs. It also builds custom APIs and RPA solutions. Retailers, real estate investors, analytics teams, and marketers use ScrapeHero for pricing, location, and market data without running their own scrapers.
Philip P.
Consultant
“Liked the excellent support, easy setup, and good value for the price. Found that more granular targeting options, such as CSS selectors, would be useful.”
Douglas R.
General Manager
“Liked the consistent, high-quality data content delivered by the service and the quick responses from the team to requests. Noted no major drawbacks.”
Mitchell S.
Sales Manager
“Liked that the tool is effective, easy to use, and well priced. Found it cumbersome for non-technical users to work with.”
Ethan C.
Data Analytics Manager
“Liked the varied services, flexibility, speed, and high-quality data. Found the cost high and wanted lower-cost packages plus a portal for quick insights.”
Balaji S.
VP of Data Operations
“Liked that the team solved challenging extraction work with quick, capable engineers. Found the overall cost of the service high.”
Bart K.
BI Developer
“Liked the reliable store-listing datasets with GPS data that are refreshed regularly. Found support is email-only, though responses arrive in good time.”
Carly M.
Operations Manager
“Liked the professional, fast, and flexible service with on-time delivery. Found that a brief review at the outset could cut down on back-and-forth.”
Joshua D.
Partner
“Liked that the service is inexpensive and delivers what it promises. Found there is no option to contact the team by phone or video.”
Mary A.
Senior Director, Digital Marketing
“Liked the friendly team, thorough quality checks, and custom data cleaning. Found turnaround takes about two weeks, which does not suit rapid timelines.”
Gerard M.
Owner
“Liked the ease of use and prebuilt interfaces that help with real estate analysis. Found some data fields missing, with no clear way to add them.”
David D.
Principal
“Liked the ease of use and the broad range of data offerings available to choose from. Found the prices of datasets higher than desired.”
Ryan S.
CRO
“Liked that saved queries allow repeat extractions with a single click. Found that Google review data could be organized better.”
Dean H.
Project Manager
“Liked the accurate data, the easy ordering and payment process, and the timely delivery of each project. Noted no major drawbacks.”
Vishnu A.
Marketing Lead
“Liked the high-quality data, the low effort required on their side, and the smooth overall process from order to delivery. Noted no major drawbacks.”
Tony L.
President
“Liked the fast, efficient service, good value, and accurate, frequently updated data. Found that a data download link expired unexpectedly.”
Ben P.
Director of Operations
“Liked the low setup cost and the large store location database. Found it unclear how updates to store samples are reflected in the data.”
Chris N.
Land Investor
“Liked being able to export sold comps that sites like Redfin and Zillow do not offer. Found some initial tweaking and a learning curve were needed.”
David R.
VP Brokerage
“Liked how easy the service is to use and the quick delivery of lists. Found it gets expensive when ordering large lists.”
Steve S.
Director, Key Accounts & Business Development
“Liked using historical pricing data to pivot and see which competitors led price changes. Found the CSV-only output hard to review.”
Keir H.
Senior Content Analyst
“Liked the accurate data and the broad coverage of sources available. Found the checkout process occasionally unreliable when placing new data orders.”
Managed price monitoring
Enterprise-focused managed scraping for pricing data
Large-scale data collection
Proxy network with ready-made datasets
Custom scraping workflows
Marketplace of scrapers with cloud scheduling
No-code scraping
Visual point-and-click scraper for nontechnical users