Otto.de Reviews Scraper (Kundenbewertungen)
1 day trial then $25.00/month - No credit card required now
Otto.de Reviews Scraper (Kundenbewertungen)
1 day trial then $25.00/month - No credit card required now
The Otto.de Reviews Scraper is a powerful tool designed to efficiently extract customer reviews from the Otto.de eCommerce platform. This scraper allows you to gather valuable insights from verified purchasers, making it easier to analyze customer feedback.
You can access the Otto.de Reviews Scraper (Kundenbewertungen) 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-3b7dc542f1faUsing Otto.de Reviews Scraper (Kundenbewertungen) via Model Context Protocol (MCP) server
MCP server lets you use Otto.de Reviews Scraper (Kundenbewertungen) 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 Otto.de Reviews Scraper (Kundenbewertungen) 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": "Yirl6gSWFw8LpDKdE"
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 Otto.de Reviews Scraper (Kundenbewertungen)
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", "Yirl6gSWFw8LpDKdE"
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.
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Created in Feb 2025
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