
Yelp Scraper
Pricing
$1.00 / 1,000 results

Yelp Scraper
Free Yelp web scraper to extract data from Yelp. Fast Yelp review scraper, but also gets business details and ratings without using the Yelp API.
5.0 (2)
Pricing
$1.00 / 1,000 results
36
Total users
3.8k
Monthly users
156
Runs succeeded
>99%
Issue response
20 days
Last modified
14 days ago
You can access the Yelp 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=tri_angle/yelp-scraper"
# Session id example output:# event: endpoint# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa
Using Free Yelp Web Scraper - get reviews and more via Model Context Protocol (MCP) server
MCP server lets you use Free Yelp Web Scraper - get reviews and more 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 Free Yelp Web Scraper - get reviews and more 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": {$ "searchTerms": [$ "Pizza"$ ],$ "locations": [$ "New York"$ ],$ "searchLimit": 10,$ "maxImages": 1$},$ "name": "tri_angle/yelp-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 Free Yelp Web Scraper - get reviews and more
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", "tri_angle/yelp-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.