πŸ”πŸ›’ Wish Scraper (PPR) avatar
πŸ”πŸ›’ Wish Scraper (PPR)

Pricing

$1.50 / 1,000 products

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πŸ”πŸ›’ Wish Scraper (PPR)

πŸ”πŸ›’ Wish Scraper (PPR)

Developed by

3x1t

3x1t

Maintained by Community

Simple listings scraper. Extract product data from Wish.com to track trends, monitor pricing, and analyze customer reviews. Get fast, customizable results for valuable e-commerce insights. Fast, cheap & reliable.

0.0 (0)

Pricing

$1.50 / 1,000 products

2

Total users

5

Monthly users

4

Runs succeeded

>99%

Last modified

8 days ago

You can access the πŸ”πŸ›’ Wish Scraper (PPR) 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=3x1t/wish-scraper"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using πŸ”πŸ›’ Wish Scraper (PPR) via Model Context Protocol (MCP) server

MCP server lets you use πŸ”πŸ›’ Wish Scraper (PPR) 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 πŸ”πŸ›’ Wish Scraper (PPR) 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": {
$ "queries": [
$ "arduino"
$ ]
$},
$ "name": "3x1t/wish-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 πŸ”πŸ›’ Wish Scraper (PPR)

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",
"3x1t/wish-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.