Walmart Review Crawler
Pricing
$6.00 / 1,000 results
Walmart Review Crawler
Extract all reviews from each review page. For each review, capture and output the following information: URL, product name, product link, total number of reviews, average product rating, review location, review rating, publication date, review text, review title, author name, and original source.
0.0 (0)
Pricing
$6.00 / 1,000 results
1
Monthly users
2
Runs succeeded
>99%
Last modified
10 months ago
You can access the Walmart Review Crawler 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=webscrapewizard/walmart-review-crawler"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Walmart Review Crawler via Model Context Protocol (MCP) server
MCP server lets you use Walmart Review Crawler 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 Walmart Review Crawler 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 "start_urls": [
8 {
9 "url": "https://www.walmart.com/reviews/product/496671400"
10 }
11 ],
12 "proxy_configuration": {
13 "useApifyProxy": true
14 }
15},
16 "name": "webscrapewizard/walmart-review-crawler"
17 }
18}'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 Walmart Review Crawler
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 "webscrapewizard/walmart-review-crawler"
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.
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$6.00
