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Content & Listings Monitor

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Content & Listings Monitor

Content & Listings Monitor

cyberfly/listingmonitor
Try for free

No credit card required

Monitor anything, anywhere. Receive mobile alerts or execute actions on updates of interest. Useful for listings, news, articles, products and more.

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Maintained by Community

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  • 97% runs succeeded

  • Created in Jan 2024

  • Modified 2 months ago

You can access the Content & Listings Monitor 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=cyberfly/listingmonitor"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Content & Listings Monitor via Model Context Protocol (MCP) server

MCP server lets you use Content & Listings Monitor 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 Content & Listings Monitor 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      "selectors": [
8            "table table tr[class='\''athing'\''] td:nth-child(3) > span > a"
9      ],
10      "scrapers": "// (input) => ({\\r\\n//     title: {\\r\\n//         selectors: [\\"table table tr[class='\''athing'\''] td:nth-child(3) > span > a\\"],\\r\\n//         extractor: node => node.innerText,\\r\\n//     },\\r\\n//     links: {\\r\\n//         contents: {\\r\\n//             selectors: [\\"table table tr[class='\''athing'\''] td:nth-child(3) > span > a\\"],\\r\\n//             extractor: node => node.href,\\r\\n//         },\\r\\n//         comments: {\\r\\n//             selectors: [\\"table table tr td[class='\''subtext'\''] span a[href^=item]:first-child\\"],\\r\\n//             extractor: node => node.href,\\r\\n//         },\\r\\n//     },\\r\\n// })",
11      "limits.alerts": 10,
12      "limits.results": 100,
13      "filters": "// [\\r\\n// \\t({title}) => title.length > 1, // absolute\\r\\n// \\t({links}) => links.contents.includes('\''http'\''), // absolute\\r\\n// \\t({price}, {price: oldPrice}) => price < oldPrice, // relative\\r\\n// ]",
14      "matcher": "// ({exclude, include}) => ({include}) // ignore fields in comparison with records\\r\\n// ({price, ...match}) => match // e.g. ignore dynamic field \\"price\\" from matching",
15      "pages.retries": 3,
16      "hooks.load": "// async page => {\\n// \\tawait page.click('\''button[name=\\"cookie-consent\\"]'\'').catch(error => null);\\n// }",
17      "proxy": {
18            "useApifyProxy": false
19      }
20},
21    "name": "cyberfly/listingmonitor"
22  }
23}'

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 Content & Listings Monitor

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        "cyberfly/listingmonitor"
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.