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Legacy PhantomJS Crawler

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Legacy PhantomJS Crawler

Legacy PhantomJS Crawler

apify/legacy-phantomjs-crawler
Try for free

No credit card required

Replacement for the legacy Apify Crawler product with a backward-compatible interface. The actor uses PhantomJS headless browser to recursively crawl websites and extract data from them using a piece of front-end JavaScript code.

Developer
Maintained by Apify

Actor Metrics

  • 91 Monthly users

  • 5.0 / 5 (6)

  • 23 bookmarks

  • >99% runs succeeded

  • Created in Mar 2019

  • Modified 9 months ago

You can access the Legacy PhantomJS Crawler 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=apify/legacy-phantomjs-crawler"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Legacy PhantomJS Crawler - Crawl websites, extract data via Model Context Protocol (MCP) server

MCP server lets you use Legacy PhantomJS Crawler - Crawl websites, extract data 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 Legacy PhantomJS Crawler - Crawl websites, extract data 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                  "key": "START",
10                  "value": "https://www.example.com/"
11            }
12      ],
13      "crawlPurls": [
14            {
15                  "key": "MY_LABEL",
16                  "value": "https://www.example.com/[.*]"
17            }
18      ],
19      "clickableElementsSelector": "a:not([rel=nofollow])",
20      "pageFunction": "function pageFunction(context) {\\n    // called on every page the crawler visits, use it to extract data from it\\n    var $ = context.jQuery;\\n    var result = {\\n        title: $('\''title'\'').text(),\\n        myValue: $('\''TODO'\'').text()\\n    };\\n    return result;\\n}\\n",
21      "interceptRequest": "function interceptRequest(context, newRequest) {\\n    // called whenever the crawler finds a link to a new page,\\n    // use it to override default behavior\\n    return newRequest;\\n}\\n"
22},
23    "name": "apify/legacy-phantomjs-crawler"
24  }
25}'

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 Legacy PhantomJS Crawler - Crawl websites, extract data

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        "apify/legacy-phantomjs-crawler"
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.