Glassdoor Review Export - Ratings, Pros, Cons & Replies

What it returns

17 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

title
ratingOverall
pros
cons
jobTitle
location
reviewDate
companyName
companyLogo
languageId
companyRating
reviewUrl
isNew
changed
firstSeenAt
lastSeenAt
lastChangedAt

Not in the schema among the core Glassdoor fields: salary. The field matrix shows which other tools return them.

How it differs from the other Glassdoor Actors

Among the 2 catalogue Actors for Glassdoor with a published schema, only this one returns ratingOverall, pros, cons, reviewDate, companyLogo, languageId, reviewUrl, isNew.

Pick another Actor if you need

Fields other Glassdoor catalogue Actors return that Glassdoor Review Export - Ratings, Pros, Cons & Replies does not
Actor	Fields it adds	Price / 1K
Glassdoor Job Listings Salary & Rating Scraper	salary_min, salary_median, salary_max, salaryCurrency	$0.99

Input

Input settings for Glassdoor Review Export - Ratings, Pros, Cons & Replies
Setting	Type	Required	Default	What it does
companies	array	No	[]	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	No	100	Maximum number of reviews to save across all companies.
maxReviewsPerCompany	integer	No	0	Maximum reviews to save for each company. Set to 0 for no per-company limit.
sortBy	string	No	mostRecent	Order in which Glassdoor returns reviews.
location	string	No	–	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	No	any	Only keep reviews whose job function matches this category.
postedWithinDays	string	No	any	Only keep reviews posted within this many days. Uses newest-first order and stops when older reviews are reached.
dateFrom	string	No	–	Keep reviews posted on or after this date (YYYY-MM-DD). Applied client-side and forces newest-first order.
dateTo	string	No	–	Keep reviews posted on or before this date (YYYY-MM-DD). Applied client-side and forces newest-first order.
rating	string	No	any	Only keep reviews with this exact overall star rating. Use ratings to select several stars.

Show the other 15 settings

More input settings for Glassdoor Review Export - Ratings, Pros, Cons & Replies
Setting	Type	Required	Default	What it does
ratings	array	No	[]	Keep reviews with any of these exact star ratings: 1, 2, 3, 4, 5. Leave empty to use the single rating filter.
employmentType	string	No	any	Only keep reviews with this employment status.
employmentTypes	array	No	[]	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	No	false	Only keep reviews written by current employees.
onlyWithEmployerResponses	boolean	No	false	Only keep reviews that have an official employer response.
jobTitleKeywords	string	No	–	Only keep reviews whose job title matches these words. Glassdoor may also return closely related titles, such as software developer for software engineer.
keyword	string	No	–	Only keep reviews that mention this word or phrase.
language	string	No	eng	Language of the reviews to collect. Choose all languages to include every language Glassdoor exposes.
languages	array	No	[]	Collect reviews in any of these languages: eng, fra, deu, nld, por, spa, ita. Leave empty to use the single language filter.
includeWorldwideReviews	boolean	No	false	Remove Glassdoor's default review criteria and include reviews from all countries. This raises the review ceiling but can add much older or non-local reviews.
includeCompanySummary	boolean	No	false	Add one companySummary record per company with saved, available, siteTotal, stopReason, logo, rating, and URL. Summary records are marked with recordType=companySummary.
includeCompanyProfile	boolean	No	false	Add company profile fields such as website, headquarters, size, revenue, industry, CEO, and company sub-ratings to each review. This makes one extra request per company.
onlyNew	boolean	No	false	Remember previously seen reviews in a named key-value store and emit only reviews that are new since the last run. Uses newest-first order and stops at the stored review-id watermark. Set the same monitorId on every scheduled run.
monitorId	string	No	glassdoor-reviews	Name of the named key-value store that holds monitoring state. Use the same value on every scheduled run. Default glassdoor-reviews.
emitUnchanged	boolean	No	false	With onlyNew, also emit previously seen reviews that have not changed. Each emitted review gets isNew=false and its original firstSeenAt. Leave off to avoid duplicate dataset records.

Example input

Built from the input form's published example values and defaults.

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

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "companies": [
        "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
    ],
    "maxItems": 3,
    "maxReviewsPerCompany": 0,
    "sortBy": "mostRecent",
    "jobFunction": "any",
    "postedWithinDays": "any",
    "rating": "any",
    "ratings": [],
    "employmentType": "any",
    "employmentTypes": [],
    "onlyCurrentEmployees": False,
    "onlyWithEmployerResponses": False,
    "language": "eng",
    "languages": [],
    "includeWorldwideReviews": False,
    "includeCompanySummary": False,
    "includeCompanyProfile": False,
    "onlyNew": False,
    "monitorId": "glassdoor-reviews",
    "emitUnchanged": False
}

run = client.actor("nimbryxo-studio/glassdoor-employee-reviews-with-full-ratings").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "companies": [
        "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"
    ],
    "maxItems": 3,
    "maxReviewsPerCompany": 0,
    "sortBy": "mostRecent",
    "jobFunction": "any",
    "postedWithinDays": "any",
    "rating": "any",
    "ratings": [],
    "employmentType": "any",
    "employmentTypes": [],
    "onlyCurrentEmployees": false,
    "onlyWithEmployerResponses": false,
    "language": "eng",
    "languages": [],
    "includeWorldwideReviews": false,
    "includeCompanySummary": false,
    "includeCompanyProfile": false,
    "onlyNew": false,
    "monitorId": "glassdoor-reviews",
    "emitUnchanged": false
};

const run = await client.actor("nimbryxo-studio/glassdoor-employee-reviews-with-full-ratings").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/nimbryxo-studio~glassdoor-employee-reviews-with-full-ratings/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"companies":["https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm"],"maxItems":3,"maxReviewsPerCompany":0,"sortBy":"mostRecent","jobFunction":"any","postedWithinDays":"any","rating":"any","ratings":[],"employmentType":"any","employmentTypes":[],"onlyCurrentEmployees":false,"onlyWithEmployerResponses":false,"language":"eng","languages":[],"includeWorldwideReviews":false,"includeCompanySummary":false,"includeCompanyProfile":false,"onlyNew":false,"monitorId":"glassdoor-reviews","emitUnchanged":false}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=nimbryxo-studio/glassdoor-employee-reviews-with-full-ratings",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Cost of Glassdoor Review Export - Ratings, Pros, Cons & Replies results by Apify plan
Apify plan	Per 1,000	10,000 results	100,000 results
Free plan	$0.99	$9.90	$99
Starter plan	$0.82	$8.20	$82
Scale plan	$0.66	$6.60	$66
Business plan	$0.49	$4.90	$49

Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 1 GB a run starts at $0.10 on Free. Fewer, larger runs keep this small.
The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
Worked example: 10,000 results in one run on the Free plan cost $10 ($9.90 for results + $0.10 start), plus Apify platform usage (compute), billed separately by Apify.
Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

Where it fits among Glassdoor routes

It ranks 2 of 2 catalogue Actors for Glassdoor on the published formula (fields, price, reliability, freshness). Its line is highlighted on the map.

1 Glassdoor Job Listings Salary & Rating Scraper 15 output fields, pay per event 5 of 7 core fields
$0.99 / 1K
2 Glassdoor Review Export - Ratings, Pros, Cons & Replies 17 output fields, pay per event 6 of 7 core fields
$0.99 / 1K
+ 4 other Store tools, combined Reference only 5 of 7 core fields
from $0.05 / 1K
API No public API No open API fields not compared

Stops are fields. A ring means the field is in that route's published output schema; no ring means the line passes without it. Bold labels are the core fields for this website, the rest are fields that differ between routes. A white capsule means every data line stops there. The red line is the official API; its field coverage is not compared. A crossed red line means there is no open official API.

Official route: No public API

No open API. Glassdoor does not publish a general public reviews or jobs API.

Not applicable.

Official documentation

Other Store tools for Glassdoor

Reference only, from their public listings.

Other Store tools for Glassdoor
Tool	Fields	Price / 1K
Glassdoor jobs scraper	82	$0.40
Job Scraper: LinkedIn Jobs, Indeed Scraper, Glassdoor Scraper	41	$6.00
Glassdoor Jobs Scraper	13	$0.05
Glassdoor Jobs Scraper	–	$0.40
Glassdoor Reviews Scraper	–	$0.05

What people use it for

Analyze employee feedback
Track company ratings

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Questions people ask

How much does Glassdoor Review Export - Ratings, Pros, Cons & Replies cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does Glassdoor Review Export - Ratings, Pros, Cons & Replies return?

Its published output schema lists 17 fields: title, ratingOverall, pros, cons, jobTitle, location, reviewDate, companyName, companyLogo, languageId, companyRating, reviewUrl, and 5 more. A listed field is not guaranteed to be filled in every row.

What input does Glassdoor Review Export - Ratings, Pros, Cons & Replies need?

No input is strictly required; the defaults run as is. Common settings: companies, maxItems, maxReviewsPerCompany, sortBy, location, jobFunction.

What are the alternatives to Glassdoor Review Export - Ratings, Pros, Cons & Replies for Glassdoor?

2 catalogue Actors cover Glassdoor. Close alternatives: Glassdoor Job Listings Salary & Rating Scraper. The Glassdoor page compares all of them field by field.

How do I run Glassdoor Review Export - Ratings, Pros, Cons & Replies from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("nimbryxo-studio/glassdoor-employee-reviews-with-full-ratings").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("nimbryxo-studio/glassdoor-employee-reviews-with-full-ratings").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/nimbryxo-studio~glassdoor-employee-reviews-with-full-ratings/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-11-09 Data synced 2026-11-12

Cite this page

Scraper Finder. "Glassdoor Review Export - Ratings, Pros, Cons & Replies." https://scraperfinder.com/catalogue/glassdoor-employee-reviews-with-full-ratings/ (data checked 2026-11-12).

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

$0.99 per 1,000 results. Paste the example input above, set your Glassdoor query, then export the dataset. Still choosing? Compare every Glassdoor route.

Open in Apify Store

Glassdoor Review Export - Ratings, Pros, Cons & Replies

Short answer

What it returns

How it differs from the other Glassdoor Actors

Pick another Actor if you need

Input

Example input

Run it from code or an AI agent

Python

JavaScript

cURL

MCP (AI agents)

What a run costs

Where it fits among Glassdoor routes

Official route: No public API

Other Store tools for Glassdoor

What people use it for

Other catalogue Actors for Glassdoor

Glassdoor Job Listings Salary & Rating Scraper

Similar Actors

JobStreet Southeast Asia Job Search by Keyword & Country

Naukri.com Job Listings Extractor with Salary & Skills

Bayt.com MENA Job Listing & Salary Scraper

BuiltIn Tech Company Directory & Hiring Signal Scraper

HelloWork France Job Listings & Salary Filter Scraper

Indeed Global Job Scraper with Company Salary Reports

Questions people ask

Sources

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