Pricing

from $20.00 / 1,000 page processeds

AI Web Scraper — Structured Data Extraction

Extract structured JSON from public webpages using your own field schema. No CSS selectors. Ideal for products, jobs, articles, listings, RAG, and agents.

Pricing

from $20.00 / 1,000 page processeds

Rating

0.0

(0)

Developer

Muhammad Afzal

Actor stats

Bookmarked

Total users

Monthly active users

10 days ago

Last modified

Categories

SEO tools

MCP servers

You can access the AI Web Scraper — Structured Data Extraction programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": [{ "url": "https://quotes.toscrape.com" }],
10    "fields": [
11        {
12            "name": "text",
13            "description": "the full quote text",
14        },
15        {
16            "name": "author",
17            "description": "name of the person who said the quote",
18        },
19        {
20            "name": "tags",
21            "description": "list of tag labels on the quote",
22            "type": "array",
23        },
24    ],
25}
26
27# Run the Actor and wait for it to finish
28run = client.actor("muhammadafzal/ai-web-extractor").call(run_input=run_input)
29
30# Fetch and print Actor results from the run's dataset (if there are any)
31print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
32for item in client.dataset(run["defaultDatasetId"]).iterate_items():
33    print(item)
34
35# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

AI Web Scraper — Structured Data Extraction API in Python

The Apify API client for Python is the official library that allows you to use AI Web Scraper — Structured Data Extraction API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

AI Web Scraper — Structured Data Extraction API in JavaScript

AI Web Scraper — Structured Data Extraction API through CLI

AI Web Scraper — Structured Data Extraction OpenAPI definition

AI Web Scraper — Structured Data Extraction API

Page to JSON — Structured Field Extraction for AI Agents

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Give a URL, get clean structured JSON — no LLM, no API key. Keyless Firecrawl Extract alternative that pulls schema.org JSON-LD, OpenGraph/meta, microdata, tables, prices, dates and contacts from any page. Built for AI agents, RAG and MCP.

Logiover

OpenAI Web Automation

dtrungtin/openai-web-automation

Controls a real browser with an OpenAI model to interact with web pages and extract structured data — no CSS selectors or page-specific scraping code required.

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AI Web Scraper — Any Site to JSON with GPT or Claude

flash_scraper/ai-universal-scraper

AI web scraper that turns any URL into clean, structured JSON. List the fields you want or describe them in plain English, bring your own OpenAI (GPT) or Anthropic (Claude) key, and the model reads the page like a human — no CSS selectors, no per-site code. Export JSON, CSV, or Excel.