Shopify Products Scraper - Automate Product Extraction
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Shopify Products Scraper - Automate Product Extraction
1 day trial then $9.99/month - No credit card required now
Automate monitoring prices on the most popular solution for building online stores and selling products online. Crawl arbitrary Shopify-powered online stores and extract a list of all products in a structured form, including product title, price, description, etc.
codemaster devopsActor Metrics
9 monthly users
No reviews yet
2 bookmarks
95% runs succeeded
Created in Apr 2024
Modified 3 months ago
You can access the Shopify Products Scraper - Automate Product Extraction 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=dainty_screw/shopify-products-scraper"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Shopify Products Scraper - Automate Product Extraction via Model Context Protocol (MCP) server
MCP server lets you use Shopify Products Scraper - Automate Product Extraction 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 Shopify Products Scraper - Automate Product Extraction 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 "url": "https://smylelabs.com/"
10 }
11 ],
12 "maxRequestsPerCrawl": 10,
13 "proxyConfig": {
14 "useApifyProxy": true
15 },
16 "extendOutputFunction": "async ({ data, item, product, images, fns, name, request, variants, context, customData, input, Apify }) => {\\n return item;\\n}",
17 "extendScraperFunction": "async ({ fns, customData, Apify, label }) => {\\n \\n}",
18 "customData": {},
19 "maxConcurrency": 10,
20 "maxRequestRetries": 3
21},
22 "name": "dainty_screw/shopify-products-scraper"
23 }
24}'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 Shopify Products Scraper - Automate Product Extraction
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 "dainty_screw/shopify-products-scraper"
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.
