AI Data Extraction - Web Scraping AI

End the pain of parsing. Let AI understand the page and extract the data for you.

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The hidden cost of writing parsers

Death by DOM

Identifying and testing XPath or CSS selectors is slow and repetitive.

Error-prone

Fragile selectors break when site markup changes.

Slow to scale

Scraping dozens of sites means never-ending maintenance.

Try AI Extraction

1. Broad

Instant extraction from any page

Just get the data. One parameter is all you need. "pageContent": true is your key to instantly extract the main content of any page. No selectors in sight, no HTML to clean up – just clean, slim-line content, ready for LLMs or any use case.

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Request

1{
2  "httpResponseBody": true,
3  "pageContent": true,
4}
5
6def parse(self, response):
7  http_response_body: bytes = response.body
8  with open("http_response_body.html", "wb") as fp:
9    fp.write(http_response_body)
10    product = response.raw_api_response["product"]
11    yield product
12}

Response

1{
2  "headline": "Royal Victoria Infirmary",
3  "itemMain": "Hospital NHS hospital Royal Victoria Infirmary Queen Victoria Road, Newcastle Upon Tyne, Tyne and Wear, NE1 4LP (0191) 233 6161 Provided and run by: The Newcastle upon Tyne Hospitals NHS Foundation Trust Overview Latest inspection summary All inspection reports and timeline Registration details Map and contact details Get alerts when we inspect Give feedback on care at this service About your care...",
4  // ...,
5  "itemMainXPath": "//*[@id=\"main-content-wrapper\"]",
6  "metadata": {
7    "dateDownloaded":"2025-08-12T16:14:22Z"
8  }
9}

2. Specialist

Rich, content-specific schemas

Zyte API uses machine learning models to identify and return standard data schema from a range of specific data types such as Product, Article, Job Posting, Search Engine.

3. Magic

Conjure any field, on command

Our most powerful capability, custom attributes extraction, puts a scraping-tuned Large Language Model at your beck and call.

Extract mode

No more selectors. Use natural language to instruct Zyte API to find and return custom on-page data.

Example

1{
2  "pockets": {
3    "type": "integer",
4    "description": "What is the number of pockets in this garment?"
5  }
6}

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Generate mode

Go beyond language-based extraction. Summarize, transform or translate captured data before it is even returned.

Example

1{
2  "datetime_posted": {
3    "type": "string",
4    "description": "the date when the article was created, in the following format: YYYY/MM/DD"
5  }
6}

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See it in action

Add AI Extraction to your first request

Plays well with Scrapy

Use AI Extraction directly inside your Scrapy spiders with no extra parsing logic — just one parameter in your request and the data arrives structured."