
🔥Facebook Marketplace Data Extraction🔥
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🔥Facebook Marketplace Data Extraction🔥
3 days trial then $9.99/month - No credit card required now
Crawlee and Puppeteer project in JavaScript for extracting data from Facebook Marketplace.
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6 Monthly users
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>99% runs succeeded
Created in Feb 2025
Modified 11 days ago
You can access the 🔥Facebook Marketplace Data Extraction🔥 programmatically from your own applications by using the Apify API. You can 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
2curl https://actors-mcp-server.apify.actor/sse?token=<APIFY_TOKEN>
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using 🔥Facebook Marketplace Data Extraction🔥 via Model Context Protocol (MCP) server
MCP server lets you use 🔥Facebook Marketplace Data 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 🔥Facebook Marketplace Data 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": { # Actor inputs
7 ...
8 },
9 "name": "sLD0PTEMjtgJfbTC7"
10 }
11}'
The response should be: Accepted
. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [{
5 "type": "text"
6 "text": "ACTOR_RESPONSE"
7 }]
8 }
9}
Configure local MCP Server via standard input/output for 🔥Facebook Marketplace Data 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", "@apify/actors-mcp-server",
7 "--actors", "sLD0PTEMjtgJfbTC7"
8 ],
9 "env": {
10 "APIFY_TOKEN": "YOUR_API_TOKEN"
11 }
12 }
13}
14}
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.