Free Online Webpage Data Scraper

What Is the Free Online Webpage Data Scraper?

Simple answer (no technical knowledge needed): this tool copies repeating information from any public web page into a neat table you can download as an Excel file. Product lists, price tables, directory listings, search results, job listings — if a page shows the same kind of card or row many times, this tool can pull every one of them into rows and columns in under a minute. No software to install, no account, no code.

Technical answer: a client-side extraction workbench. You supply source HTML (fetched server-side from a URL through a hardened preview endpoint with SSRF checks, redirect limits and caching, or pasted directly), select a repeating container with any valid CSS selector, define ordered fields each mapped to a sub-selector plus an extractor type (Text, Link, Image, HTML), and the engine returns a header plus row matrix rendered as an HTML table with one-click Excel export (SheetJS, CSV fallback) and JSON export/import of the whole setup. All extraction runs in your browser; the server only fetches the source page for previews.

How to Use It — No Technical Skills Required

Follow these five steps. Nothing here requires knowing HTML.

1. Load the page. Click the From URL tab, paste the full address of a listing page (a page with many similar items, not a single product page), and click Load URL. Or click From HTML, paste the page source, and click Use HTML Input. A preview of the page appears on the right.
2. Tell it what repeats. Click Select next to the container box, then click any one card, row, or item in the preview. A helper panel suggests the right selector (for example div.card) — click the highlighted suggestion and it fills in automatically. One click teaches the tool the pattern for all items.
3. Choose what to collect. Each field row already has a name box, a selector box, and a type dropdown. Click Select on a field row, then click the exact piece inside the preview (title, price, photo). Click Add field for more columns. Pick the type: Text for words and prices, Link for clickable addresses, Image for pictures, HTML for formatted content.
4. Scrape. Click Start scraping. Every matching item becomes one table row. A message tells you how many rows were extracted. If something is misconfigured you get a plain-language warning instead, such as which field needs re-selecting.
5. Save it. Click Export to Excel for a spreadsheet, Copy to paste into Google Sheets, or Export to save your whole setup as a file you can Import later to repeat the same scrape.

How to Use It — Technical Reference

1. Source modes. From URL posts to the preview endpoint, which validates the URL (public http/https only, private and reserved IP space blocked, maximum 5 manual redirects), fetches with a 20-second timeout, caches for 30 minutes, injects a base tag so relative URLs resolve, and injects the visual-picker agent script. From HTML accepts up to 3 MB of pasted markup with an optional base URL override.
2. Container selector. Any valid document.querySelectorAll-compatible CSS selector: .product-card, table tbody tr, ul.results > li, article[data-id]. For tables, click any cell and the picker promotes the full row. A selector matching zero nodes fails validation with an explicit message and clears stale output.
3. Field selectors resolve per container item via querySelector, so keep them relative: .title, a, img, td:nth-child(2). The special value :scope targets the container itself. An empty result for one field yields an empty cell, never an error; rows where every cell is empty are dropped.
4. Extractor types. Text returns visible text with tags flattened and entities decoded. Link returns the resolved absolute href (query strings and fragments preserved). Image returns the resolved image src. HTML returns the element inner HTML (escaped for safe table display).
5. Sanitization. script and noscript nodes are removed before extraction, so trackers and embedded code never leak into results. Extraction itself is DOM-based in your browser — nothing you scrape is uploaded.
6. Config portability. Export downloads the container selector plus all field definitions as JSON; Import restores them. Share the file and anyone reproduces the identical scrape.

Field Types at a Glance

Tips, Limits, and What to Avoid

• Use listing pages, not detail pages. The tool needs a repeating pattern. A page with one product gives one row.
• Login-walled pages cannot be fetched by URL. Open the page in your browser, copy its HTML source, and use From HTML instead.
• JavaScript-rendered content needs its rendered HTML. View-source HTML may lack items that load dynamically; use your browser developer tools to copy the rendered markup.
• Pasted HTML is capped at 3 MB. Very large pages should be trimmed to the listing section.
• Relative links resolve against the source URL (or your override base URL), so exported links stay clickable.
• Respect the site. Scrape only pages you are allowed to use — your own sites, public data, or sources with permission. Heavy automated re-scraping can get your IP blocked; space out repeated fetches.

Data Copyrights

No one wants their website data copied by others with bad intent. Use this tool for education, research, price comparison of your own catalog, lead lists you are entitled to, and other lawful purposes — never to steal content, bypass paywalls, or republish someone else's work as your own.

For data owners: Newisty respects every site owner. If you believe this tool is being used against your pages without permission, block automated clients or contact us and the page or site will be blocked from fetching as soon as possible.

Frequently Asked Questions