Extract 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.

or upload a file
Drop a PDF or image here, or click to browse
Max 20 MB per file · PDF, PNG, JPG, WEBP, HEIC
Pro: drop up to 25 files at once for bulk extraction
What to extract from this webpage?
or describe it yourself
Extracting product listings

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.

How it works

  1. Step 1
    Paste a URL or HTML

    Paste the URL of a public page, or paste the HTML directly if the site needs login.

  2. Step 2
    Describe what to extract

    Pick a template for common patterns (product listings, articles, directories) or write a free-text request.

  3. Step 3
    Export 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

Product listings — name, price, rating, URL
Directory pages — companies, contact info
Article archives — title, author, date, summary
Job boards — title, company, location, posted date
Real-estate listings — address, price, beds, baths
Event listings — name, date, venue, ticket link
Search-result pages — every result as a row
Profile pages — bio, role, links

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.

Related extractors

Compared to alternatives