General Purpose Web Scraping and Metadata Extraction
1 day trial then $50.00/month - No credit card required now
General Purpose Web Scraping and Metadata Extraction
1 day trial then $50.00/month - No credit card required now
This project uses the Apify platform to scrape data from web pages, collect metadata, and store results in an Apify dataset. It features functions for managing date ranges, encoding identifiers, and handling large datasets, aiming to efficiently extract and store structured data for analysis.
Jamshaid ArifActor Metrics
1 monthly user
No reviews yet
No bookmarks yet
>99% runs succeeded
Created in Nov 2024
Modified a month ago
You can access the General Purpose Web Scraping and Metadata 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=moving_beacon-owner1/my-actor-10"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing General Purpose Web Scraping and Metadata Extraction via Model Context Protocol (MCP) server
MCP server lets you use General Purpose Web Scraping and Metadata Extraction 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 General Purpose Web Scraping and Metadata Extraction 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://www.airbnb.co.uk/rooms/7431972"
10 }
11 ]
12},
13 "name": "moving_beacon-owner1/my-actor-10"
14 }
15}'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 General Purpose Web Scraping and Metadata Extraction
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 "moving_beacon-owner1/my-actor-10"
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.
