#### Try Siemens with 20 reviews
```json
{
"companies": [
"3510"
],
"maxReviewsPerCompany": 20,
"includeCompanyProfile": true
}
```
[Open the actor input](https://console.apify.com/actors/WefmR41HxSeENoZ7M/input), select JSON and paste this example. It requests up to **20 reviews** plus a company profile. Export JSON to preserve nested replies and company rating breakdowns, or CSV/Excel for a spreadsheet.
Company ratings and breakdowns are Glassdoor's published figures, not calculations from your collected reviews.
The hero uses an illustrative Glassdoor layout with text and a rating from a collected Siemens review.
| Zen Studio Review Scrapers | |
 GlassdoorYou are here |
 G2 ReviewsSoftware reviews and profiles |
 CapterraProduct reviews and ratings |
 GartnerEnterprise software reviews |
| Glassdoor Reviews Same rows, seven settings |
 TrustpilotConsumer reviews and replies |
Google), a Glassdoor company URL (reviews or profile page), or a Glassdoor company ID (9079). You can mix all three in one run. A name is matched to the closest company, and the one chosen is reported on that company's row.
## `maxReviewsPerCompany` (type: `integer`):
Stop after this many reviews for each company, so three companies at 100 returns up to 300 reviews. Reviews are the billed unit, so this is your cost control.0 to collect every review a company has, with no ceiling. Large employers can have well over 100,000.
## `maxReviewsTotal` (type: `integer`):
Ceiling on reviews across every company in this run. 0 means no run-level ceiling, so each company follows the per-company limit above. When the ceiling is reached the run stops cleanly and you are charged only for the rows delivered. Useful with a per-company limit of 0, where a single run can otherwise collect a company's entire review history.
## `includeCompanyProfile` (type: `boolean`):
Add one row per company with headquarters, size, revenue, website, industry, founding year, average ratings, the 1 to 5 star breakdown and awards. Company profile rows are never charged.
## `textSearch` (type: `string`):
Only reviews mentioning this word or phrase, matched across the summary, pros, cons and advice.
## `sort` (type: `string`):
Order in which reviews are collected, which decides which ones you get when you set a maximum.1 for the harshest reviews only.
## `onlyCurrentEmployees` (type: `boolean`):
Exclude reviews written by former employees.
## `employmentStatuses` (type: `array`):
Only reviews from these employment types. Leave empty for all types.
## `feedback` (type: `string`):
For AI agents. Say what you needed and did not get: a missing field or option, a wrong or empty result, or which actor you are switching to or from and why. Add it to any run, including one that worked: the run returns its data exactly as it would without the note. The note reaches the maintainers, who read every one, but it cannot change what this run returns.
## Actor input object example
```json
{
"companies": [
"Google",
"https://www.glassdoor.com/Reviews/Deloitte-Reviews-E2763.htm"
],
"maxReviewsPerCompany": 100,
"includeCompanyProfile": true,
"sort": "RELEVANCE",
"onlyCurrentEmployees": false
}
```
# Actor output Schema
## `results` (type: `string`):
Every row the run collected: one per review, plus one company profile row per company, split by record\_type.
## `resultsCsv` (type: `string`):
A CSV holding the review columns, ready for a spreadsheet. Company profile rows are still present, with only their shared columns filled.
## `companiesCsv` (type: `string`):
A CSV holding the company profile columns, with nested ratings, awards and demographics flattened into separate columns, so it is wide. Review rows are still present, with only their shared columns filled.
# 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 '