# Scrape Indeed Reviews Worldwide: countries = all

**Use case:** 

www.indeed.com shows only the US-visible reviews - 4,044 of Google's 6,258 on the day this was verified. The value all applies Indeed's own worldwide filter to the same domain and returns nearly every review in one walk, dates normalised whatever the language. A thousand newest here; set the cap to 0 for the whole corpus. Cost: 1000 review rows at $0.002 = at most $2.00 a run.

## Input

```json
{
  "companies": [
    "Google"
  ],
  "countries": [
    "all"
  ],
  "maxReviewsPerCompany": 1000,
  "sort": "newest",
  "minRating": 0,
  "maxRating": 0,
  "requireText": false,
  "jobTitleContains": "",
  "locationContains": "",
  "sinceDate": "",
  "includeCompanyRow": true,
  "sessions": 2,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "company_name": {
    "label": "Company name",
    "format": "string"
  },
  "review_id": {
    "label": "Review id",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "pros": {
    "label": "Pros",
    "format": "string"
  },
  "cons": {
    "label": "Cons",
    "format": "string"
  },
  "job_title": {
    "label": "Job title",
    "format": "string"
  },
  "location": {
    "label": "Location",
    "format": "string"
  },
  "employment_status": {
    "label": "Employment status",
    "format": "string"
  },
  "review_date": {
    "label": "Review date",
    "format": "string"
  },
  "work_life_balance": {
    "label": "Work life balance",
    "format": "integer"
  },
  "compensation_benefits": {
    "label": "Compensation benefits",
    "format": "integer"
  },
  "job_security_advancement": {
    "label": "Job security advancement",
    "format": "integer"
  },
  "management": {
    "label": "Management",
    "format": "integer"
  },
  "culture_values": {
    "label": "Culture values",
    "format": "integer"
  },
  "helpful_count": {
    "label": "Helpful count",
    "format": "integer"
  },
  "employer_reply": {
    "label": "Employer reply",
    "format": "string"
  },
  "url": {
    "label": "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`).