Zyte APITurn pages into structured data - no parsers, no selectors
End the pain of parsing. Let AI understand the page and extract the data for you.
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.
Pick your AI superpower
Three ways to turn any web page into valuable data. Standard schemas are extracted by trained machine-learning models - deterministic and priced for scale. The LLM runs only when you ask for custom fields, so per-page inference cost never becomes your bottleneck.
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.
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 page_content = response.raw_api_response["pageContent"]
11 yield page_content1{
2 "headline": "Guide to Espresso Brewing",
3 "itemMain": "Espresso Brewing Guide. Everything you need to dial in a shot: dose, yield, time, and grind. Start with 18 g in and 36 g out in 25-30 seconds, then adjust grind until the shot tastes balanced. Water at 93°C, freshly roasted beans, and a level tamp matter more than any single variable...",
4 // ...,
5 "itemMainXPath": "//*[@id=\"main-content-wrapper\"]",
6 "metadata": {
7 "dateDownloaded": "2026-07-20T09:14:22Z"
8 }
9}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.
Ask for any field, get it back structured
Our most powerful capability, custom attributes extraction, puts a scraping-tuned Large Language Model behind every request.
Extract mode
No more selectors. Use natural language to instruct Zyte API to find and return custom on-page data.
1{
2 "pockets": {
3 "type": "integer",
4 "description": "What is the number of pockets in this garment?"
5 }
6}
Generate mode
Go beyond language-based extraction. Summarize, transform or translate captured data before it is even returned.
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}Add AI Extraction to your first request
Built to work the way you do
AI Extraction drops into your existing Zyte API workflows.
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."
Domain-trained models
Specialized AI models for ecommerce products, articles, jobs, and search engine results ensure accuracy and efficiency.
Flexible schema
Get common fields by default, then customize the schema to fit your needs. Add or remove fields with either code or natural language prompts.
Low-maintenance parsing
Forget fixing brittle selectors when sites change — our AI adapts automatically to evolving page structures.
Simple pricing that scales with your needs
Explore transparent pricing designed to grow with your needs.
See our pricing plansAwards, five-star reviews and millions of happy customers
The results are in: Zyte customers love our products. Check out these views and reviews on independent sites.
Zyte was able to offer the most simple and effective rotating proxy solution for us. It just works.
Quick to Integrate, Easy to Use.
Add AI Extraction to any request with a single parameter
1import requests
2
3api_response = requests.post(
4 "https://api.zyte.com/v1/extract",
5 auth=("YOUR_ZYTE_API_KEY", ""),
6 json={
7 "url": "https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html",
8 "product": True,
9 },
10)
11product = api_response.json()["product"]