Pro Web Content Crawler (With Images)
Pricing
$30.00 / 1,000 results
Pro Web Content Crawler (With Images)
Pro Web Content Crawler is a powerful tool that digs deep into web content and images. It handles complex sites, dynamic pages, and hidden content, making it perfect for extracting both data and images. Customizable and API-ready for your unique data needs.
5.0 (1)
Pricing
$30.00 / 1,000 results
2
Total users
94
Monthly users
27
Runs succeeded
93%
Last modified
7 months ago
You can access the Pro Web Content Crawler (With Images) 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.
$# Start Server-Sent Events (SSE) session and keep it running<curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=assertive_analogy/pro-web-content-crawler"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Pro Web Content Crawler (With Images) via Model Context Protocol (MCP) server
MCP server lets you use Pro Web Content Crawler (With Images) 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 Pro Web Content Crawler (With Images) Actor with the provided input.
$curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{$ "jsonrpc": "2.0",$ "id": 1,$ "method": "tools/call",$ "params": {$ "arguments": {},$ "name": "assertive_analogy/pro-web-content-crawler"$ }$}'The response should be: Accepted. You should received response via SSE (JSON) as:
$event: message$data: {$ "result": {$ "content": [$ {$ "type": "text",$ "text": "ACTOR_RESPONSE"$ }$ ]$ }$}Configure local MCP Server via standard input/output for Pro Web Content Crawler (With Images)
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:
{ "mcpServers": { "actors-mcp-server": { "command": "npx", "args": [ "-y", "@apify/actors-mcp-server", "--actors", "assertive_analogy/pro-web-content-crawler" ], "env": { "APIFY_TOKEN": "<YOUR_API_TOKEN>" } } }}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.
