
Chewy Scraper
Pricing
$30.00/month + usage

Chewy Scraper
Scrape data from Chewy.com, one of the largest online pet supply retailers. Crawl and extract descriptions, images, prices, and all other product details. You can scrape numerous listing URLs. Download your data as HTML table, JSON, CSV, Excel, XML.
0.0 (0)
Pricing
$30.00/month + usage
3
Total users
47
Monthly users
2
Runs succeeded
89%
Last modified
8 months ago
You can access the Chewy Scraper 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=mscraper/chewy-scraper"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Chewy Scraper via Model Context Protocol (MCP) server
MCP server lets you use Chewy Scraper 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 Chewy Scraper 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": {$ "startUrls": [$ {$ "url": "https://www.chewy.com/b/plant-care-909"$ },$ {$ "url": "https://www.chewy.com/multipet-lamb-chop-squeaky-plush-dog/dp/52997"$ }$ ],$ "resultsLimit": 36,$ "proxy": {$ "useApifyProxy": true$ }$},$ "name": "mscraper/chewy-scraper"$ }$}'
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 Chewy Scraper
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", "mscraper/chewy-scraper" ], "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.