AI Product Matcher
No credit card required
AI Product Matcher
No credit card required
Match products across multiple e-commerce websites. Use this AI product matching Actor whenever you need to find matching pairs of products from different online shops for dynamic pricing, competitor analysis or market research.
Matěj SochorActor Metrics
24 monthly users
No reviews yet
12 bookmarks
85% runs succeeded
49 days response time
Created in Apr 2023
Modified 2 months ago
You can access the AI Product Matcher 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=equidem/ai-product-matcher"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing 🎯 Match products with AI via Model Context Protocol (MCP) server
MCP server lets you use 🎯 Match products with AI 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 🎯 Match products with AI 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 "dataset1_ids": [
8 "GYVCj4hEeqnX3dJyu"
9 ],
10 "dataset2_ids": [
11 "OmzHV4VEByO4KohMF"
12 ],
13 "input_mapping": {
14 "eshop1": {
15 "id": "url",
16 "name": "name",
17 "price": "price",
18 "short_description": "shortDescription",
19 "long_description": "longDescription",
20 "specification": "specification",
21 "code": [
22 "sku",
23 "productModel"
24 ]
25 },
26 "eshop2": {
27 "id": "url",
28 "name": "name",
29 "price": "price",
30 "short_description": "shortDescription",
31 "long_description": "longDescription",
32 "specification": "specification",
33 "code": [
34 "sku",
35 "productModel"
36 ]
37 }
38 }
39},
40 "name": "equidem/ai-product-matcher"
41 }
42}'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 🎯 Match products with AI
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 "equidem/ai-product-matcher"
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.
