Page Extractor
Visit a list of URLs and extract the same fields from every page — one row per URL. Feed it CSVs, previous extractions, or sitemaps. No URL count cap.
The Page Extractor visits a list of URLs and pulls the same fields from every page — one row per URL. It's built for "collection of similar pages" jobs: product pages, profiles, articles, Google Maps places.
Step 1: Where the URLs come from
Five sources (there's no free-text paste box in this tool):
| Source | What it does |
|---|---|
| Upload CSV | Auto-detects which columns contain URLs; you pick the column |
| Data Source | Pulls a URL column from a previous extraction stored locally — this is how List Extractor results chain into the Page Extractor: extract a list of links, then visit each link |
| Sitemap Explorer | Discovers URLs from the current site's sitemaps — see Sitemap Explorer |
| Cloud Data Source | Cloud-synced tables, when you're signed in to the cloud |
| Recipe | Prefilled by a saved recipe |
The first URL loads into your active tab so you can pick elements against a real page. Individual URLs can be removed before starting.
Step 2: What to extract
You build an ordered list of extraction steps; each step adds columns to the row:
- Element picker — click elements on the loaded page to define fields. Each picked element gets robust multi-selector fallbacks.
- Automatic Extract — zero-config structured-data extraction (see below).
- Page Metadata — the head tags only: title, description, image, author, dates, canonical URL (see below). A specialist step for when metadata is exactly what you're after. Free.
- Phone Numbers — regex plus
tel:link detection across the page. Free. - Google Maps — place name, rating, address, phone, website, hours and more from Google Maps listings. Offered when Maps URLs are detected in your list; needs no picked elements.
Automatic Extract: structured data without selectors
If a page publishes structured data, you may not need to pick anything. Automatic Extract reads a page's JSON-LD, microdata, and Open Graph/Twitter/standard meta tags, identifies the page's subject entity (Product, Article, JobPosting, Event, Recipe, LocalBusiness, real-estate listing and more), and flattens it into one clean row per URL. If the first page you load contains structured data, the step is added for you automatically.
For products, columns include: name, price, availability, currency, brand, color, size, material, rating with review count, category, SKU, GTIN, MPN, images, and more. It works on any site with structured data — WooCommerce, Magento, custom stores, news sites, job boards.
Variants consolidate into one row per URL — a product with 12 variants stays one row, with multi-value cells joined by commas. Known limits: it doesn't read JavaScript globals or RDFa, and list-style pages collapse to a single row.
Page Metadata: the head tags as fixed columns
Most runs don't need this step — Automatic Extract above already reads Open Graph and meta tags, and falls back to them for name, description and image when a page publishes no structured data. Reach for Page Metadata when the metadata itself is the point: SEO audits, share-preview checks, or a content inventory where you want the head tags and nothing else. You get the same columns for every URL, whatever each page is about:
| Column | Read from |
|---|---|
| Title | og:title → twitter:title → JSON-LD headline/name → <title> → first <h1> |
| Description | og:description → twitter:description → <meta name="description"> → JSON-LD description |
| Image | og:image → twitter:image → <link rel="image_src"> → JSON-LD image |
| Site Name, Content Type | og:site_name, og:type (JSON-LD publisher/@type as backup) |
| Author, Published, Updated | <meta name="author">, article:published_time/article:modified_time, JSON-LD author/dates |
| Keywords, Language, Canonical URL | <meta name="keywords">/article:tag, <html lang>/og:locale, <link rel="canonical"> |
| Title Tag, H1, Favicon, Robots, Twitter Card, Schema Types | the raw document signals, kept separate from the resolved Title |
Nothing is invented: a field the page never declared stays empty rather than being guessed. Every meta tag outside the table above is still captured in a hidden All Meta Tags column — switch on Show debug columns in the Data Table to see it.
Only want titles and descriptions? Every field is on by default; hit Customize on the step (or the sliders icon) to un-check the ones you don't need. Each field you keep is one column, and the column order stays the same however you tick the boxes. The selection travels with the automation, so a cloud run and a saved recipe extract exactly the fields you chose.
Running it in the cloud or via an AI agent
A Page Metadata step you build here runs unchanged in the cloud and in any scheduled run, field selection included. An AI agent can also start one from scratch — those always capture the full field set, so build the step here when you want a narrowed one.
Which one do I want? Start with Automatic Extract — it identifies what each page is about and is the right answer for catalogues and most page data, titles and descriptions included. Add Page Metadata when you specifically want the head tags in a fixed shape. They're additive steps, so running both is fine: Automatic Extract for the page's subject, Page Metadata for its metadata, each in its own columns.
Configuration highlights
| Setting | Default | Notes |
|---|---|---|
| Concurrent tabs | 1 | Run several tabs in parallel with the Faster Extraction toggle for large batches |
| Request delay | 1000 ms | 0–5000 ms |
| Page timeout | 30 s | 5–120 s |
| Anti-bot randomization | off | When on: randomized delay variation plus extra random pauses between pages |
| Retries | 2 attempts per URL | Transient failures (timeouts, network errors) retry with backoff; permanent ones (404, blocked) don't. Failures are reported per URL and never abort the batch |
There is no cap on URL count — you can process as many pages as you like.
Recipes
Recipes are fully supported — URLs, steps, picked elements, and configuration all round-trip.
Related
List Extractor
Turn any repeating list, grid, or table into a spreadsheet with one click. Handles infinite scroll, pagination, and Load More — free and uncapped locally.
Sitemap Explorer
Discover up to 50,000 URLs from a site's sitemaps, filter them in a searchable tree, and hand them straight to the Page Extractor. Free for everyone.