Glassdoor Review Export - Ratings, Pros, Cons & Replies: MCP config, n8n workflow and API

{
  "companies": [
    "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
  ],
  "maxItems": 3,
  "maxReviewsPerCompany": 0,
  "sortBy": "mostRecent",
  "jobFunction": "any",
  "postedWithinDays": "any",
  "rating": "any",
  "employmentType": "any",
  "onlyCurrentEmployees": false,
  "onlyWithEmployerResponses": false,
  "language": "eng",
  "includeWorldwideReviews": false,
  "includeCompanySummary": false,
  "includeCompanyProfile": false,
  "onlyNew": false,
  "monitorId": "glassdoor-reviews",
  "emitUnchanged": false
}

---
name: glassdoor-employee-reviews-with-full-ratings
description: "Employee reviews scraped from Glassdoor with ratings, pros and cons, reviewer context, language data, employer responses, company context, company logo, and canonical review URLs. With onlyNew, reviews also carry isNew, firstSeenAt, lastSeenAt, changed, and lastChangedAt monitoring fields. Runs the Apify Actor nimbryxo-studio/glassdoor-employee-reviews-with-full-ratings. Use when the user needs Glassdoor data with fields such as title, ratingOverall, pros, cons, jobTitle, location and an Apify token is available."
compatibility: "Needs network access, curl, and an APIFY_TOKEN environment variable. Runs are billed to the token owner's Apify account."
metadata:
  actor: "nimbryxo-studio/glassdoor-employee-reviews-with-full-ratings"
  store-url: "https://apify.com/nimbryxo-studio/glassdoor-employee-reviews-with-full-ratings"
---

# Glassdoor Review Export - Ratings, Pros, Cons & Replies

Use this skill to fetch Glassdoor data with the Apify Actor `nimbryxo-studio/glassdoor-employee-reviews-with-full-ratings` and work with the returned rows.

## Before running

1. Check that `APIFY_TOKEN` is set in the environment. Never print it or write it to a file.
2. Build `input.json` from the user's request using the fields below. Keep limits small for a first run.
3. Confirm the search terms or URLs with the user if the request is ambiguous.

## Input fields

| Field | Type | Meaning |
| --- | --- | --- |
| `companies` | array | Glassdoor company Review or Overview URLs, company names, or employer ids. Add one item per company. Example: https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm or Google or 9079. |
| `maxItems` | integer | Maximum number of reviews to save across all companies. |
| `maxReviewsPerCompany` | integer | Maximum reviews to save for each company. Set to 0 for no per-company limit. |
| `sortBy` | one of `mostRecent`, `mostRelevant`, `oldest`, `highestRated`, `lowestRated`, `mostRelevantClassic` | Order in which Glassdoor returns reviews. |
| `location` | string | City, state, metro area, or country to filter reviews by, such as New York, NY or London. Leave empty for all locations. The value is resolved automatically through Glassdoor's location search. |
| `jobFunction` | string | Only keep reviews whose job function matches this category. |
| `postedWithinDays` | one of `any`, `7`, `30`, `90`, `180`, `365` | Only keep reviews posted within this many days. Uses newest-first order and stops when older reviews are reached. |
| `dateFrom` | string | Keep reviews posted on or after this date (YYYY-MM-DD). Applied client-side and forces newest-first order. |
| `dateTo` | string | Keep reviews posted on or before this date (YYYY-MM-DD). Applied client-side and forces newest-first order. |
| `rating` | one of `any`, `1`, `2`, `3`, `4`, `5` | Only keep reviews with this exact overall star rating. Use ratings to select several stars. |
| `ratings` | array | Keep reviews with any of these exact star ratings: 1, 2, 3, 4, 5. Leave empty to use the single rating filter. |
| `employmentType` | one of `any`, `regular`, `part_time`, `intern`, `contract`, `freelance`, `temporary` | Only keep reviews with this employment status. |
| `employmentTypes` | array | Keep reviews with any of these employment statuses: regular, part_time, intern, contract, freelance, temporary. Leave empty to use the single employment type filter. |
| `onlyCurrentEmployees` | boolean | Only keep reviews written by current employees. |

Example `input.json` (the Actor's published prefill):

```json
{
  "companies": [
    "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
  ],
  "maxItems": 3,
  "maxReviewsPerCompany": 0,
  "sortBy": "mostRecent",
  "jobFunction": "any",
  "postedWithinDays": "any",
  "rating": "any",
  "employmentType": "any",
  "onlyCurrentEmployees": false,
  "onlyWithEmployerResponses": false,
  "language": "eng",
  "includeWorldwideReviews": false,
  "includeCompanySummary": false,
  "includeCompanyProfile": false,
  "onlyNew": false,
  "monitorId": "glassdoor-reviews",
  "emitUnchanged": false
}
```

## Run

```bash
curl -sS -X POST "https://api.apify.com/v2/acts/nimbryxo-studio~glassdoor-employee-reviews-with-full-ratings/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @input.json > results.json
```

The call waits for the run to finish and returns the dataset items as a JSON array. If the run needs more than 300 seconds the API answers with HTTP 408; then start the run with `POST /v2/acts/nimbryxo-studio~glassdoor-employee-reviews-with-full-ratings/runs`, poll `GET /v2/actor-runs/{runId}` until `SUCCEEDED`, and read `GET /v2/datasets/{defaultDatasetId}/items`.

## Output

Each item is one record. Published fields include: `title`, `ratingOverall`, `pros`, `cons`, `jobTitle`, `location`, `reviewDate`, `companyName`, `companyLogo`, `languageId`, `companyRating`, `reviewUrl`, `isNew`, `changed`, `firstSeenAt`, `lastSeenAt`, `lastChangedAt`.

Summarise what was found, cite the record URLs when present, and say how many items came back. Do not invent values for empty fields.