No Code Web Scraper for People Who Do Not Write Code
Four steps, no selectors
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1
Paste the address of the page you want to read and it loads in the builder exactly as a visitor sees it.
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2
Click a value on the page and give it a name. Price becomes price, the title becomes title, and the builder marks every other row that holds the same kind of value.
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3
Tell it whether to follow links, how deep, and which addresses to skip, if you want a whole section rather than one page.
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4
Pick a schedule and a destination, then run it once to see the table before you leave.
If clicking is not enough, the ai web scraper mode takes the field list as a sentence instead, and the result is the same table.
Run a requestWhere the rows go
| Destination | What happens | Good for |
|---|---|---|
| Spreadsheet export | CSV or XLSX from the run, or a link that always holds the latest run | Analysts who work in a sheet |
| Webhook | Each run posts JSON to an address you control | Anything that already listens for data |
| A file arrives after every scheduled run | Weekly reports someone reads and forwards |
The step by step version of the spreadsheet route is in scrape data into Excel.
The people who need the data first
Analysts and researchers who would rather build the report than wait for a sprint.
Operations and pricing teams checking suppliers, marketplaces and competitors every morning.
Recruiters and sales teams building lists from public directories.
Founders testing whether a data idea is worth an engineer at all.
Everything a job does here is available to your engineers through the web scraping api with the same account, so a prototype built by clicking becomes a production pipeline without being rebuilt.
What it costs
A scheduled job is available on Growth and above: 25 jobs on Growth and 500 on Scale. Each page a job reads is one successful request against the same monthly limit as the API, so there is no second price list to learn. Starter runs jobs by hand rather than on a schedule.