# AI Web Data Extractor — URL + Prompt → JSON (`hichemdev/ai-web-extractor`) Actor

Extract structured data from any web page with a plain-English prompt, using your own OpenAI or Anthropic API key. Turn messy pages into clean JSON.

- **URL**: https://apify.com/hichemdev/ai-web-extractor.md
- **Developed by:** [Hichem Ben Moussa](https://apify.com/hichemdev) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 pages

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## AI Web Data Extractor

**Extract structured data from any web page with a plain-English prompt** - using your own OpenAI or Anthropic API key.

### How it works

1. The Actor fetches each URL and cleans the page to readable text.
2. It sends that text plus your prompt to your chosen LLM (your key, your bill).
3. You get back clean JSON.

### Input

- **startUrls**: pages to extract from
- **extractionPrompt**: what to extract, in plain English
- **provider**: Anthropic (Claude) or OpenAI (GPT)
- **apiKey**: your own key (kept secret). Without a key, the Actor returns cleaned page text.
- **model**: optional (defaults: claude-haiku-4-5 / gpt-4o-mini)

### Use cases

Turn any page into JSON: product specs, job listings, contact details, article metadata, pricing tables - without writing selectors. Great for LLM/RAG pipelines and one-off structured scrapes.

*Built by [hichemdev](https://apify.com/hichemdev).*

# Actor input Schema

## `startUrls` (type: `array`):

Web pages to extract data from.

## `extractionPrompt` (type: `string`):

Describe, in plain English, what to extract — e.g. "Extract product name, price, and rating as JSON" or "List every job title and location on this page".

## `provider` (type: `string`):

Which LLM provider to use with your API key.

## `model` (type: `string`):

Model ID. Leave blank for a fast, cost-effective default (Anthropic: claude-haiku-4-5, OpenAI: gpt-4o-mini).

## `apiKey` (type: `string`):

Your OpenAI or Anthropic API key. You are billed by the provider directly. Without a key, the Actor returns the cleaned page text instead of AI extraction.

## `maxTokens` (type: `integer`):

Maximum tokens for the model's JSON response per page.

## `proxyConfiguration` (type: `object`):

Optional proxy for fetching the pages.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://apify.com"
    }
  ],
  "extractionPrompt": "Extract the page title and a one-sentence summary of what this page is about.",
  "provider": "anthropic",
  "maxTokens": 2048,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "startUrls": [
        {
            "url": "https://apify.com"
        }
    ],
    "extractionPrompt": "Extract the page title and a one-sentence summary of what this page is about.",
    "provider": "anthropic"
};

// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/ai-web-extractor").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "startUrls": [{ "url": "https://apify.com" }],
    "extractionPrompt": "Extract the page title and a one-sentence summary of what this page is about.",
    "provider": "anthropic",
}

# Run the Actor and wait for it to finish
run = client.actor("hichemdev/ai-web-extractor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "startUrls": [
    {
      "url": "https://apify.com"
    }
  ],
  "extractionPrompt": "Extract the page title and a one-sentence summary of what this page is about.",
  "provider": "anthropic"
}' |
apify call hichemdev/ai-web-extractor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=hichemdev/ai-web-extractor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/KdqnSEjCOoF47f97f/builds/1V4Ct0AHHONEDDURC/openapi.json