Yelp Reviews Scraper & AI Sentiment Analysis

com.ranovamPublished by ranovam.comv0.1.1Updated Oct 24, 2026

Paste a Yelp business URL: the Actor collects its reviews and turns them into an owner-ready…

The publisher's own server: Review Expert

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingData & Analytics

Overview

AI-generated overview

Collects reviews for a Yelp business from its URL and produces an owner-ready sentiment analysis.

What you can do
Given a Yelp business URL, the server runs an Apify Actor that collects that business's reviews. It then turns the collected reviews into an owner-ready output, described as AI sentiment analysis. The manifest lists no individual tools, so the exact tool names and parameters are not documented here.
When to use it
Useful when you want an assistant to gather and summarize customer feedback for a specific Yelp business without manually copying reviews. Best suited to owners or analysts reviewing sentiment trends for one or a few businesses at a time. Not intended for broad multi-site web crawling.
Requirements
A remote streamable HTTP endpoint at Authentication is required: an Apify API token supplied as the Authorization header in the form 'Bearer ', or OAuth if the MCP client supports it. No local runtime or packages are needed. Network access to the remote endpoint is required.
Before you install
Requires an Apify API token sent as the Authorization header in the form 'Bearer '; treat it as a secret and avoid exposing it in shared client configurations. The server sends the Yelp business URL you provide to a third-party remote service, and scraping may be subject to Yelp's terms and local rules. Review the provider's data handling before use.

Installation

In SourceWeft

  1. Open Yelp Reviews Scraper & AI Sentiment Analysis in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.ranovam%2Fyelp-review-intelligence/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "yelp-reviews-scraper-ai-sentiment-analys": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=enezli/yelp-review-intelligence"
    }
  }
}

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

2
  1. v0.1.1LatestSep 28, 2026
  2. v0.1Sep 16, 2026

Score

67% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.

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