# Big Four & MBB consulting firms compared (CSV)

**Use case:** 

Deloitte, PwC, EY, KPMG, McKinsey, BCG, Bain and Accenture side by side: Glassdoor rating, sub-ratings, CEO approval, counts, size, HQ in one flat table.

## Input

```json
{
  "companyNames": [
    "Deloitte",
    "PwC",
    "EY",
    "KPMG",
    "McKinsey & Company",
    "Boston Consulting Group",
    "Bain & Company",
    "Accenture"
  ],
  "includeDemographicRatings": false,
  "flatten": true,
  "emitInputStatus": true,
  "maxChallengeRetries": 8
}
```

## Output

```json
{
  "logoUrl": {
    "label": "Logo",
    "format": "string"
  },
  "name": {
    "label": "Company",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "recommendToFriendPercent": {
    "label": "Recommend %",
    "format": "integer"
  },
  "ceoApprovalPercent": {
    "label": "CEO %",
    "format": "integer"
  },
  "reviewCount": {
    "label": "Reviews",
    "format": "integer"
  },
  "salaryCount": {
    "label": "Salaries",
    "format": "integer"
  },
  "jobCount": {
    "label": "Jobs",
    "format": "integer"
  },
  "size": {
    "label": "Size",
    "format": "string"
  },
  "industry": {
    "label": "Industry",
    "format": "string"
  },
  "headquarters": {
    "label": "HQ",
    "format": "string"
  },
  "website": {
    "label": "Website",
    "format": "string"
  },
  "url": {
    "label": "Glassdoor",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Glassdoor Company Overview Universal Scraper](https://apify.com/scrapifier/glassdoor-company-overview-universal-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrapifier/glassdoor-company-overview-universal-scraper.md) to learn more, explore other use cases, and run it yourself.


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

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/scrapifier/glassdoor-company-overview-universal-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).