# Company Ratings on Indeed for Five Retailers

**Use case:** 

The company row is free and carries what most people come for: Indeed's overall rating, review count, the star histogram, the five category averages, the Work Happiness score, top pros and cons, industry, size, headquarters, revenue band and CEO. Five retailers in one run with twenty newest reviews each, so the numbers come with evidence. Cost: 100 review rows at $0.002 = at most $0.20 a run.

## Input

```json
{
  "companies": [
    "Target",
    "Best-Buy",
    "Lowe's",
    "Walgreens",
    "Costco-Wholesale"
  ],
  "countries": [
    "us"
  ],
  "maxReviewsPerCompany": 20,
  "sort": "newest",
  "minRating": 0,
  "maxRating": 0,
  "requireText": false,
  "jobTitleContains": "",
  "locationContains": "",
  "sinceDate": "",
  "includeCompanyRow": true,
  "sessions": 2,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "company": {
    "label": "Company",
    "format": "string"
  },
  "company_name": {
    "label": "Company name",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "review_count": {
    "label": "Review count",
    "format": "integer"
  },
  "found_review_count": {
    "label": "Found review count",
    "format": "integer"
  },
  "histogram": {
    "label": "Histogram",
    "format": "object"
  },
  "ratings_breakdown": {
    "label": "Ratings breakdown",
    "format": "object"
  },
  "happiness_score": {
    "label": "Happiness score",
    "format": "integer"
  },
  "happiness_grade": {
    "label": "Happiness grade",
    "format": "string"
  },
  "top_pros": {
    "label": "Top pros",
    "format": "array"
  },
  "top_cons": {
    "label": "Top cons",
    "format": "array"
  },
  "topics": {
    "label": "Topics",
    "format": "array"
  },
  "industry": {
    "label": "Industry",
    "format": "string"
  },
  "company_size": {
    "label": "Company size",
    "format": "string"
  },
  "headquarters": {
    "label": "Headquarters",
    "format": "string"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "founded": {
    "label": "Founded",
    "format": "integer"
  },
  "revenue": {
    "label": "Revenue",
    "format": "string"
  },
  "ceo": {
    "label": "Ceo",
    "format": "string"
  },
  "reviews_fetched": {
    "label": "Reviews fetched",
    "format": "integer"
  },
  "company_url": {
    "label": "Company url",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Indeed Company Reviews Scraper — Employee Reviews](https://apify.com/kestrel/indeed-company-reviews.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kestrel/indeed-company-reviews.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kestrel/indeed-company-reviews.md

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`).