ExtractFoxExtract data from any website
Paste a URL or a page's HTML and get the data you want as a structured table. No CSS selectors, no XPath — describe the fields and ExtractFox figures out the structure.
Static HTML only. JS-rendered pages may extract partial content.
What should we pull from this webpage?
Or pick specific fields
Or describe it yourself
Why this matters
Traditional scrapers break the moment a site changes its layout. ExtractFox reads the rendered page semantically: it identifies products, prices, listings, articles, or whatever you ask for, regardless of where the data sits in the DOM. A price-monitoring script breaks when a Shopify store redesigns its product grid — your CSS selector returns zero results and nobody notices until the board deck has stale numbers. Researchers scraping directory pages hit Cloudflare challenges; pasting the rendered HTML bypasses the fetch blocker but XPath written for the old table layout is useless.
How it works
- Step 1Paste a URL or HTML
Paste the URL of a public page, or paste the HTML directly if the site needs login.
- Step 2Describe what to extract
Pick a template for common patterns (product listings, articles, directories) or write a free-text request.
- Step 3Export to Excel or Google Sheets
Download as .xlsx, .csv, or .json. The CSV output drops cleanly into Google Sheets via File → Import.
Common use cases
Sample output
Example: extracting a product-listing page
Request: "extract every product as { name, price, rating, url }"
Result:
{
"products": [
{ "name": "Wireless Headphones X100", "price": 129.99, "rating": 4.6, "url": "https://example.com/p/x100" },
{ "name": "USB-C Hub 7-in-1", "price": 39.50, "rating": 4.4, "url": "https://example.com/p/hub7" },
{ "name": "Mechanical Keyboard K5", "price": 89.00, "rating": 4.8, "url": "https://example.com/p/k5" }
]
}Frequently asked questions
How do I extract data from a website to Excel automatically?+
Paste the URL on this page, describe the fields you want, click Extract, and download as .xlsx. On the paid plan you can hit the API with a URL and a schema and pipe results straight into a spreadsheet or database.
How do I extract data from a website to Google Sheets?+
Run extraction here and download as CSV. In Google Sheets, use File → Import → Upload, and the data lands as a sheet. The paid plan supports a Google Sheets integration that writes results directly.
Does this work without writing CSS selectors or XPath?+
Yes. You describe the fields in plain English and ExtractFox figures out where they sit on the page. No selectors to maintain.
Can it scrape pages that require JavaScript to render?+
Yes. The fetcher executes JavaScript before extraction, so single-page apps and lazily-rendered content are captured.
What about sites that need login?+
For logged-in pages, copy the rendered HTML from your browser (View Source or DevTools → Elements → Copy outerHTML) and paste it into the HTML input on this page. We don't store credentials.
Is web scraping legal?+
Scraping public pages for personal or research use is generally allowed. Commercial scraping at scale can violate site terms of service or bypass rate limits. Always check robots.txt and the site's terms before automating extraction.
How does this compare to Octoparse, ParseHub, or Apify?+
Those tools require you to point and click selectors per site. ExtractFox is selector-free — you describe the fields once and it handles layout changes automatically. Better for ad-hoc extraction; specialized scrapers may still win for very high-volume scheduled jobs.
Can I extract data from paginated listing pages across multiple URLs?+
The web app processes one URL at a time. On the paid plan, loop URLs through the API with the same field description — each page returns rows in the same schema, ready to append into one sheet.
Does it respect robots.txt and rate limits on the paid API?+
The fetcher checks robots.txt by default and backs off on 429 responses. For high-volume scheduled scraping, configure request intervals in your integration and verify the target site's terms of service.