Jobsite Scraper turns public UK Jobsite searches and pasted Jobsite URLs into clean dataset rows. It helps recruiters, researchers, and builders track jobs with employer, salary, location, apply, listing, detail, contact, and scrape metadata.
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Maker
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Hey Product Hunt,
I built Jobsite Scraper as part of my Apify actor portfolio. It collects public UK Jobsite listings from keyword/location searches or pasted Jobsite URLs, then saves clean rows with employer, salary, location, apply links, job details, contact hints when visible, and scrape metadata.
It is useful if you are building job dashboards, hiring-market reports, alerts, spreadsheets, or small recruiting workflows and want structured Jobsite data without maintaining your own scraper.
If you try it, please let me know what you think 🫡
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Pasted a couple of jobsite URLs and the schema came back with employer and salary already split, which saved me a ton of cleanup work. Nice and tidy for quick recruiter outreach.
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Handy tool for pulling jobsite data into something actually workable, the JSON rows are tidy enough to drop straight into a sheet. Wish it covered a couple more boards, but for UK sourcing this hits the mark.
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Really like how cleanly it normalizes salary and contact fields into dataset rows, makes downstream analysis so much easier without extra cleanup.
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The way you pull apart a listing into clean, separate fields like salary and location shows real thought about how recruiters actually want to slice data. Nice execution on the schema.
Pasted a couple of jobsite URLs and the schema came back with employer and salary already split, which saved me a ton of cleanup work. Nice and tidy for quick recruiter outreach.
Handy tool for pulling jobsite data into something actually workable, the JSON rows are tidy enough to drop straight into a sheet. Wish it covered a couple more boards, but for UK sourcing this hits the mark.
Really like how cleanly it normalizes salary and contact fields into dataset rows, makes downstream analysis so much easier without extra cleanup.
The way you pull apart a listing into clean, separate fields like salary and location shows real thought about how recruiters actually want to slice data. Nice execution on the schema.