Yelp Reviews Scraper avatar
Yelp Reviews Scraper

Pricing

$25.00/month + usage

Go to Store
Yelp Reviews Scraper

Yelp Reviews Scraper

Developed by

GetDataForMe

GetDataForMe

Maintained by Community

Yelp Reviews Actor scrapes customer reviews from Yelp business pages. Provide business URLs and proxy settings; the Actor returns structured JSON with review ID, text, rating, author name & location, timestamp, business metadata, and reaction counts. Ideal for sentiment analysis and market research.

0.0 (0)

Pricing

$25.00/month + usage

0

Total users

2

Monthly users

2

Runs succeeded

>99%

Last modified

5 days ago

You can access the Yelp Reviews 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=getdataforme/yelp-reviews-scraper"
# Session id example output:
# event: endpoint
# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Yelp Reviews Scraper via Model Context Protocol (MCP) server

MCP server lets you use Yelp Reviews 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 Yelp Reviews 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": {
$ "urls": [
$ "https://www.yelp.com/biz/marigold-event-space-san-francisco"
$ ],
$ "proxyConfiguration": {
$ "useApifyProxy": true,
$ "apifyProxyGroups": [
$ "RESIDENTIAL"
$ ]
$ }
$},
$ "name": "getdataforme/yelp-reviews-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 Yelp Reviews 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",
"getdataforme/yelp-reviews-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.