Zalando Price Alert
Pricing
Pay per event
Zalando Price Alert
Extract current prices of selected Zalando products and receive email notifications when they drop below a defined threshold. Combine with Apify Schedule to create a complete price monitoring system.
0.0 (0)
Pricing
Pay per event
0
Total users
6
Monthly users
6
Runs succeeded
>99%
Last modified
5 days ago
You can access the Zalando Price Alert 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=scraper_one/zalando-price-alert"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Zalando Price Alert via Model Context Protocol (MCP) server
MCP server lets you use Zalando Price Alert 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 Zalando Price Alert 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 "firstProductUrl": "https://en.zalando.de/nike-sportswear-w-air-max-97-ess-trainers-sesamehempsummit-whitepearl-white-ni111a166-b11.html",
8 "firstProductSize": "38",
9 "firstProductPriceThreshold": 160
10},
11 "name": "scraper_one/zalando-price-alert"
12 }
13}'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 Zalando Price Alert
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 "scraper_one/zalando-price-alert"
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.
