Pricing

$9.00 / 1,000 pages

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GPT Scraper

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Developed by

Jakub Drobník

Extract data from any website and feed it into GPT via the OpenAI API. Use ChatGPT to proofread content, analyze sentiment, summarize reviews, extract contact details, and much more.

4.4 (7)

Pricing

$9.00 / 1,000 pages

Monthly users

162

Runs succeeded

>99%

Response time

3.2 days

Last modified

3 months ago

Lead generation

You can access the GPT Scraper 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.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=drobnikj/gpt-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using GPT Scraper via Model Context Protocol (MCP) server

MCP server lets you use GPT Scraper within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the GPT Scraper Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "startUrls": [
8            {
9                  "url": "https://news.ycombinator.com/"
10            }
11      ],
12      "instructions": "Gets the post with the most points from the page and returns it as JSON in this format: \\npostTitle\\npostUrl\\npointsCount",
13      "includeUrlGlobs": [],
14      "excludeUrlGlobs": [],
15      "linkSelector": "a[href]",
16      "initialCookies": [],
17      "proxyConfiguration": {
18            "useApifyProxy": true
19      },
20      "removeElementsCssSelector": "script, style, noscript, path, svg, xlink",
21      "schema": {
22            "type": "object",
23            "properties": {
24                  "title": {
25                        "type": "string",
26                        "description": "Page title"
27                  },
28                  "description": {
29                        "type": "string",
30                        "description": "Page description"
31                  }
32            },
33            "required": [
34                  "title",
35                  "description"
36            ]
37      }
38},
39    "name": "drobnikj/gpt-scraper"
40  }
41}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for GPT Scraper

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "drobnikj/gpt-scraper"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.

Pricing

Pricing model

Pay per result

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.

Price per 1,000 items

$9.00

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