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Dynamic Web Scraper

Pricing

Pay per event

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Dynamic Web Scraper

Dynamic Web Scraper

josejet/dynamic-web-scraper

Developed by

Pepa <b>J</b>

Maintained by Community

Dynamic Web Scraper is an Apify Actor that gathers information online by simulating user browsing behavior on the web. It reduces the time and amount of scraped web pages by using a model (ChatGPT) to make decisions regarding browser navigation and results evaluation.

0.0 (0)

Pricing

Pay per event

1

Monthly users

34

Runs succeeded

>99%

Last modified

21 days ago

You can access the Dynamic Web 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=josejet/dynamic-web-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Dynamic Web Scraper via Model Context Protocol (MCP) server

MCP server lets you use Dynamic Web 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 Dynamic Web 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      "startSources": [
8            "Lucerna Bar Cafe, Prague"
9      ],
10      "prompt": "Look for the food menu items and if you find it look for a chicken option"
11},
12    "name": "josejet/dynamic-web-scraper"
13  }
14}'

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 Dynamic Web 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        "josejet/dynamic-web-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 event 

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.

Start the actor

$0.010

Start the actor

ChatGPT API call

$0.010

Performing a request to CHAT GPT API

Pushing to Dataset

$0.010

Pushing To Dataset