# Yelp Reputation Recovery - Negative Review Leads (`automation_studio/yelp-reputation-repair-leads`) Actor

Find struggling businesses on Yelp with poor ratings (under 3.5 stars) and negative reviews. Qualified leads for reputation management agencies.

- **URL**: https://apify.com/automation_studio/yelp-reputation-repair-leads.md
- **Developed by:** [Automation Studio](https://apify.com/automation_studio) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 verified reputation repair leads

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Yelp Reputation Recovery - Negative Review Leads

Discover local businesses on Yelp burdened with **poor ratings (under 3.5 stars)** and negative customer reviews across any metropolitan market.

Every bad review costs a local business thousands in lost customers. When an owner drops to 3.0 or 2.5 stars, they are in immediate crisis and actively searching for reputation management, review gating, and PR damage control. Reaching these distressed owners with a concrete recovery strategy yields industry-leading close rates.

***

### Key Capabilities

- **Targeted Rating Ceiling**: Filter businesses under 3.5, 3.0, or 2.5 stars across any industry.
- **Reputation Urgency Grading**: Automatically categorizes prospects:
  - **Critical Urgency**: Ratings at or below 2.5 stars requiring immediate review funnel interventions.
  - **High Priority**: Sub-3.2 star businesses experiencing revenue loss from poor social proof.
  - **Moderate Opportunity**: Sub-3.5 star businesses in competitive niches needing review acceleration.
- **Automated Pitch Angles**: Generates personalized sales angles for cold email, phone calls, or direct outreach.
- **Profile Claim Audit**: Audits whether struggling listings are claimed or abandoned.
- **Complete Contact Profiles**: Delivers business name, direct phone number, website link, Yelp URL, rating, and review count.

***

### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `locations` | Array of Strings | `["Miami, FL"]` | Target metropolitan markets (e.g. `Miami, FL`, `Austin, TX`, `Scottsdale, AZ`). |
| `categories` | Array of Strings | `["Restaurants"]` | Industry categories (e.g. `Restaurants`, `Spas & Salons`, `Auto Repair`, `Dental`). |
| `maxRatingCeiling` | Number | `3.5` | Maximum star rating ceiling to qualify prospects (1.0 to 4.0 stars). |
| `maxResults` | Integer | `10` | Maximum business records to collect (1 to 5000). |
| `proxyConfiguration` | Object | `{ "useApifyProxy": true }` | Proxy configuration for request routing. |

***

### Output Format

Each harvested record provides clean, structured prospecting data ready for CRM export:

```json
{
  "urgencyTier": "HIGH_PRIORITY",
  "reputationPitchAngle": "Low Rating Target (2.9 Stars): Pitch Automated Review Acceleration & Customer Feedback Gating",
  "businessName": "Bistro Bella Vista",
  "category": "Restaurants",
  "locationSearched": "Miami, FL",
  "rating": 2.9,
  "reviewCount": 42,
  "phone": "(305) 555-0188",
  "websiteUrl": "https://bistrobellavista.com",
  "yelpUrl": "https://www.yelp.com/biz/bistro-bella-vista-miami",
  "isYelpClaimed": true,
  "scrapedAt": "2026-10-11T14:35:00.000Z"
}
```

***

### Practical Applications

- **Online Reputation Management (ORM) Agencies**: Pitch monthly review recovery funnels, SMS review campaigns, and negative feedback mitigation.
- **Review Software & SaaS Resellers**: Prospect local businesses for automated review gating tools (Birdeye, Podium, NiceJob).
- **Customer Experience Consultants**: Provide secret shopper audits, service training, and operational turnaround consulting for struggling storefronts.

# Actor input Schema

## `locations` (type: `array`):

Enter cities or metropolitan areas to harvest (e.g. 'Miami, FL', 'Austin, TX', 'Scottsdale, AZ'). Comma-separated entries are automatically parsed.

## `categories` (type: `array`):

Categories to search (e.g. 'Restaurants', 'Spas & Salons', 'Fitness & Gyms', 'Auto Repair', 'Dental').

## `maxRatingCeiling` (type: `number`):

Maximum star rating ceiling to qualify as a reputation repair prospect (1.0 to 4.0 stars). Default is 3.5 stars.

## `maxResults` (type: `integer`):

Maximum number of reputation repair businesses to extract across all locations (1 to 5000). Default is 10 for rapid verification.

## `proxyConfiguration` (type: `object`):

Proxy configuration for high-volume Yelp harvesting.

## Actor input object example

```json
{
  "locations": [
    "Miami, FL"
  ],
  "categories": [
    "Restaurants"
  ],
  "maxRatingCeiling": 3.5,
  "maxResults": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing verified reputation repair and ORM business prospects

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "locations": [
        "Miami, FL"
    ],
    "categories": [
        "Restaurants"
    ],
    "maxRatingCeiling": 3.5,
    "maxResults": 10,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("automation_studio/yelp-reputation-repair-leads").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "locations": ["Miami, FL"],
    "categories": ["Restaurants"],
    "maxRatingCeiling": 3.5,
    "maxResults": 10,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("automation_studio/yelp-reputation-repair-leads").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "locations": [
    "Miami, FL"
  ],
  "categories": [
    "Restaurants"
  ],
  "maxRatingCeiling": 3.5,
  "maxResults": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call automation_studio/yelp-reputation-repair-leads --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,automation_studio/yelp-reputation-repair-leads"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/lssIjksEC7NX88g0Y/builds/tLlye3RZOmkRJ2Lo4/openapi.json