AI Web Scraper - Structured Data from Any Website

What is AI Web Scraper?

AI Web Scraper is a tool that lets you scrape structured data from any website: product names and prices, job listings, company directories, articles, real estate, reviews, or any other field you can see on a page. Paste the URLs, name the columns you want or describe them in plain English, click Start, and download the data as Excel, CSV or JSON. No CSS selectors, no XPath, no code, and nothing to rewrite when a site changes its design.

• ✍️ Name the fields, get the data: type product_name, price, in_stock and it fills them in on every page
• 📋 Listing pages too: one row per item when a page lists many things, without any setup
• 🕸️ Crawls whole sites: follows links to the depth you choose, with URL filters and a hard page budget
• 🔒 Stable columns: your field names, in your order, on every row of every run
• 💸 Free to try: the $5 of free usage every Apify account gets each month covers up to about 660 scraped results

What can AI Web Scraper do?

• Scrape any website without code by naming the fields you want
• Extract product data from any online store: name, price, stock, rating, image
• Scrape job listings from boards that each format things differently
• Turn a directory into a lead list: company name, website, industry, city
• Extract articles and news: headline, author, date, summary
• Crawl a whole website and extract the same fields from every page
• Scrape pages in any language, and ask for values in another language
• Call it as an API and get one page's data back in under a second once it knows the site
• Export to Excel, CSV, JSON, HTML or XML, or send the data to Google Sheets, Make, Zapier, n8n and more

What data can AI Web Scraper extract?

Anything visible on the page as text or as a link. Common uses:

You want	Fields you would name
Product data	product_name, price, currency, in_stock, rating, image_url
Job listings	job_title, company, location, salary_range, remote: true or false
Company directories	company_name, website, industry, employees, city
Articles and news	headline, author, published: date in YYYY-MM-DD, summary
Real estate	address, price, bedrooms, square_feet, listing_url
Reviews	reviewer, rating, review_text, date

A field the page does not answer comes back as null, never as a guess.

How to scrape a website without code

1. Create a free Apify account (no credit card needed).
2. Open AI Web Scraper and paste your URLs.
3. Type the columns you want, one per line. Add a colon and a short hint where a name alone is ambiguous: price: the current price as a number, without the currency symbol.
4. Set Maximum pages, and a Crawl depth if you want links followed, then click Start.
5. When the run finishes, download the data as Excel, CSV, JSON, HTML or XML.

There is no step where you inspect the page or write a selector.

How do I write fields that give clean data?

The difference between a clean dataset and a messy one is usually four or five extra words.

• Name the format you want. price: current price as a number, no currency symbol beats price, which gets you "$129.99" on one page and 129.99 on the next.
• Disambiguate anything that appears twice. author: the writer of the article, not the person quoted in it.
• Pin down dates and true or false values. published: date in YYYY-MM-DD, remote: true if the job can be done from home.
• Ask for a list when you want a list. Set a field's type to list and you get every match, such as every tag on a post, rather than the first one.
• Keep one row about one thing. On a listing page the scraper writes one row per item by itself. Name the fields of a single item, not "all the product names".

Can it crawl a whole website?

Yes. Set Crawl depth above 0 and it follows links from your start URLs.

• Depth 0 scrapes only the URLs you listed; depth 1 also scrapes what they link to, and so on
• Stay on the same site is on by default, so one stray link cannot spend the budget elsewhere
• Only follow URLs matching and Never follow URLs matching take wildcards such as https://example.com/blog/* or */tag/*
• Maximum pages is a hard cap for the whole run

The pages nearest your start URLs are scraped first.

Which websites does it work on?

Most public websites, including busy, script-heavy ones. Some pages take more work than others; that happens automatically, and each row records it.

Set Effort per page to Fast when a site scrapes easily and you want the quickest run, or to Thorough for sites that are hard to read. Auto is the default and steps up only for the pages that need it. Pages behind a login are out of scope, and a few sites cannot be read.

How much does it cost to scrape a website with AI Web Scraper?

You pay per scraped result: one row per page, or one row per item on a listing page. The price per 1,000 results depends on your Apify plan:

Apify plan	Scraped results per 1,000
Free	$7.55
Starter (Bronze) and Scale (Silver)	$7.40
Business (Gold) and higher	$5.50

Each run also has a start fee of $0.08 per run at the default settings. You also pay the Apify platform usage of the run, which is billed separately from these prices.

Example: 1,000 scraped results cost $7.55 on the Free plan and $5.50 on Business, plus the $0.08 start fee and the run's platform usage. A run that returns 10 results costs about $0.16 on the Free plan ($0.0755 for the results plus the $0.08 start fee), plus platform usage.

Every Apify account gets $5 of free usage each month. Platform usage also comes out of it, so it covers up to about 660 scraped results. Maximum pages is the dial that controls your bill: the run stops the moment it is reached. To keep platform usage down, keep Effort per page on Auto, narrow a crawl with URL patterns, and lower Characters read per page when your data sits near the top of a page. See the Pricing tab for details.

⬇️ Input

Setting	What it does
Start URLs	Pages to scrape, and where a crawl starts
Fields to extract	The columns to extract, one per line, with optional hints
Instructions	Plain-English description of what to pull out
Maximum pages	Hard budget for the run (default 10)
Crawl depth	How far to follow links, 0 for no crawling (default)
Stay on the same site	Keep the crawl on the starting site (on by default)
Only follow URLs matching / Never follow URLs matching	Wildcard filters for links
How to extract	Reuse a site's structure (default), or read every page in full
Effort per page	Auto (default), Fast or Thorough
Read protected pages	On by default. Turn off to skip hard-to-open pages quickly
Characters read per page	How much of each page is read: default 12,000 characters (about 2,000 words), up to 60,000
Include the page text in the output	Add the page text to each row
Speed	The default suits most sites

Example: products from a store, following links one level deep:

{
  "startUrls": [{"url": "https://example.com/products"}],
  "fields": ["product_name", "price: current price as a number", "in_stock: true or false"],
  "maxPages": 25,
  "maxCrawlDepth": 1
}

⬆️ Output

{
  "product_name": "Ninja Pro 4-in-1 Air Fryer",
  "price": 129.99,
  "in_stock": true,
  "url": "https://example.com/products/ninja-pro-air-fryer",
  "pageTitle": "Ninja Pro 4-in-1 Air Fryer | Example Store",
  "statusCode": 200,
  "depth": 1,
  "extractedAt": "2026-09-20T14:31:07.881Z"
}

Your columns come first, in the order you typed them, on every row of every run, so next month's run still lines up with today's spreadsheet or database table. If you name a column that clashes with a source field, such as url, your column wins and the page's own address moves to pageUrl. Nothing is silently overwritten.

Each run also leaves a run report (pages scraped, how many needed extra work, and every page that failed with its reason) and the learned page layouts, one record per site, showing how each of your columns was located. Read these when a column comes back empty, to tell a miss apart from a page that genuinely lacks the field.

AI Web Scraper compared with a traditional scraper

	Traditional scraper	AI Web Scraper
Setup	A selector per field, per site	Name the fields
A new site	A new scraper	Same input, new URL
Site redesign	Breaks, needs fixing	Works out the new structure
Skills needed	CSS or XPath, usually code	None
Listing pages	Extra work	One row per item automatically

What can you build with it?

• Price and catalogue monitoring across stores that share no common markup
• Lead lists from directories: name, role, company, location, contact page
• Job market datasets normalised across boards that each format things differently
• Competitor tracking on pricing pages, feature tables and changelogs, diffed week over week
• RAG pipelines, using the page text alongside the extracted fields

Real-time extraction API

A single page does not need a run. Send an HTTP request and get the fields back in the response.

curl "https://automly--ai-web-scraper.apify.actor/extract?url=https://quotes.toscrape.com/&fields=quote,author" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>"

Several pages at once, with a typed column:

curl -X POST "https://automly--ai-web-scraper.apify.actor/extract" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["https://quotes.toscrape.com/", "https://quotes.toscrape.com/page/2/"],
       "fields": ["quote: the quote text", "author", {"name": "tags", "type": "array"}]}'

What it learned about a site stays available between requests, so the first call to a site is the slow one and the rest come back in under a second. Every response carries modelCalls, so you can watch that number stop rising.

Scrape more web data

Actor	What it gets
Website Email Scraper - Find Email Addresses in Bulk	Email addresses, phone numbers and social profiles from any list of websites
Ahrefs Scraper - Domain Rating, Backlinks & Keywords	Domain Rating, backlinks, organic traffic, keyword ideas and keyword difficulty for any website
Shopify Scraper - Products, Prices, Variants & Stock	Any public Shopify store's catalog: titles, prices, variants, images and availability
Google News Scraper - Full Article Text, Alerts & RSS	Google News articles by keyword with publisher links and full article text
Google Maps Scraper	Local businesses: name, address, phone, website, rating, reviews and opening hours

❓FAQ

How much does AI Web Scraper cost?

$7.55 per 1,000 scraped results on the Free plan, less on paid plans, plus $0.08 per run and the run's platform usage. See the cost section above.

How many pages can I scrape in one run?

As many as you set in Maximum pages; it is a hard cap for the whole run. Pages behind a login, and a few sites that cannot be read, are skipped and listed in the run report.

Do I need to write CSS selectors or XPath?

No. You name the fields and it finds them.

Do I need an account on the website, my own AI API key or an AI subscription?

No. It reads only what any visitor can see, without logging in, and the AI work is included in the price per result.

Will my columns stay the same between runs?

Yes. They are the field names you typed, in your order, on every row. Tools that let the AI invent its own keys hand you a different spreadsheet each time.

Can it extract a list of products from one page?

Yes. When a page lists many things, it writes one row per item rather than cramming the page into a single row. Nothing to configure.

How accurate is it?

Accurate on facts plainly on the page: titles, prices, dates, names, links. Weaker on judgement calls and on values that exist only inside images. Switch on the page text in the output and spot-check your first run.

Why did a page come back empty?

Either the page could not be read, or it genuinely has none of your fields. Failed pages are listed in the log and in the run report with a reason for each.

Can I run it on a schedule?

Yes. Schedule the actor and each run gives you a dataset you can compare with the last one.

Can I connect AI Web Scraper to other tools or AI agents?

Yes. Start runs and download results with the Apify API or the Python and JavaScript clients, send results to Make, Zapier, n8n, Google Sheets or Slack with Apify integrations and webhooks, or let AI assistants and agents run it through the Apify MCP server at mcp.apify.com.

Is it legal to scrape websites with AI Web Scraper?

It reads only public pages that any visitor can see, and it does not log in. Pages can contain personal data, which may be protected by laws such as the GDPR, so only collect it for a legitimate reason, check the site's terms, and ask a lawyer if you are unsure. You can read more in Is web scraping legal?

AI Web Scraper is an independent tool. It is not affiliated with, endorsed by or sponsored by any of the websites it reads.

Something isn't working?

Open the Issues tab with the URL and the fields you asked for. We read every one and usually reply within a day.

⭐ Your feedback

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