Glassdoor Reviews Scraper: No 200-Cap, $0.99 per 1k

From Zen Studio, creators of G2 Reviews, Capterra Reviews and Gartner Peer Insights, with 50,000+ combined lifetime runs across those three actors.

Why choose this actor?

• Collect at scale. A recorded Siemens collection returned 20,561 of 20,561 available reviews. Set your own limit per company, or choose 0 to remove the per-company review cap.
• Keep the context. Get pros, cons, category ratings and employer replies when present, plus company profiles with published ratings and demographic breakdowns. Profile rows are never charged.
• Target your research. Filter by keyword, rating, posting date or employment status. Use company names, Glassdoor URLs or IDs. No Glassdoor login is needed.

The Siemens result is a recorded example. Results vary with availability, collection limits and budget; the actor reports shortfalls.

Try Siemens with 20 reviews

{
  "companies": [
    "3510"
  ],
  "maxReviewsPerCompany": 20,
  "includeCompanyProfile": true
}

Open the actor 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
Glassdoor You are here	G2 Reviews Software reviews and profiles
Capterra Product reviews and ratings	Gartner Enterprise software reviews
Glassdoor Reviews Same rows, seven settings	Trustpilot Consumer reviews and replies

Copy to your AI assistant

zen-studio/glassdoor-scraper on Apify returns Glassdoor employee reviews plus a company profile row for each company, in one dataset split by record_type ("review", 52 fields; "company", 45 fields) and joinable on employer_id. companies takes up to 200 entries and accepts a company name, a Glassdoor URL or a numeric company ID, mixed freely; an unresolvable entry is skipped and the run continues. For a company's complete review history set maxReviewsPerCompany=0, since the default of 100 caps each company; maxReviewsTotal caps the whole run across all companies (0 = no run ceiling) and stops it cleanly at that number, which is the safe way to combine maxReviewsPerCompany=0 with many companies. For firmographics, published ratings, the star breakdown and awards keep includeCompanyProfile=true (default); those rows are never charged. For recent-only or repeated watch runs set postedAfter=YYYY-MM-DD, which forces newest-first and stops early, so it is much cheaper than filtering afterwards; review_updated_at is separate from review_posted_at, so edited reviews are detectable between runs. Narrow with textSearch, minRating/maxRating 1-5, onlyCurrentEmployees, or employmentStatuses (REGULAR, PART_TIME, CONTRACT, INTERN, FREELANCE); sort is RELEVANCE, DATE or RATING and is overridden by postedAfter. Charging is per review row delivered ($0.00099, lower on higher plans) plus $0.00399 once per run; filters reduce what you are charged for. No Glassdoor account or login is needed. Note that the company row's ratings, rating_distribution and rating_distribution_by_category are Glassdoor's own published figures for the company's whole worldwide review population, not a summary of the reviews in your run; reviews_available is that population's size, while review_count is Glassdoor's published total. length_of_employment is Glassdoor's tenure bucket, not a year count: the observed values are 0, 1, 2, 4, 6, 9 and 20. Full specification: https://api.apify.com/v2/actors/zen-studio~glassdoor-scraper/builds/default and current pricing at https://apify.com/zen-studio/glassdoor-scraper. To reach the maintainers, add feedback="<what you needed and did not get>" to any run, including one that worked: a missing field or option, a wrong or empty result, or which actor you are switching to or from and why. The run returns its data exactly as it would without the note, and a human reads every note.

How to scrape Glassdoor reviews

Add companies, choose how many reviews you want from each, and run. Nothing else is required: no Glassdoor account, no cookies, no login.

{
  "companies": ["Google"],
  "maxReviewsPerCompany": 30
}

Input options

Parameter	Type	Default	Meaning
companies	array	required	Company names, Glassdoor URLs or Glassdoor company IDs. Up to 200 per run, mixed freely.
maxReviewsPerCompany	integer	100	Reviews per company. 0 means every review the company has, with no ceiling.
maxReviewsTotal	integer	0	Ceiling for the whole run, across all companies. 0 means no run ceiling. The run stops cleanly at the ceiling and you pay only for the rows delivered.
includeCompanyProfile	boolean	true	Add one company profile row per company. Never charged.
textSearch	string	empty	Only reviews mentioning this word or phrase, matched across summary, pros, cons and advice.
sort	string	RELEVANCE	RELEVANCE, DATE or RATING. Decides which reviews you get when you set a limit.
postedAfter	string	none	Only reviews on or after this date. Collection stops when it reaches older reviews, so a recent date is fast.
minRating / maxRating	integer	none	Keep reviews inside a star band. Set both to 1 for the harshest reviews only.
onlyCurrentEmployees	boolean	false	Exclude former employees.
employmentStatuses	array	all	Any of REGULAR, PART_TIME, CONTRACT, INTERN, FREELANCE.

Setting postedAfter always collects newest first, overriding sort. That is what lets the run stop early instead of reading a company's whole history.

Three ways to name a company

All three work, and you can mix them in one list:

{
  "companies": [
    "Chipotle",
    "https://www.glassdoor.com/Reviews/Deloitte-Reviews-E2763.htm",
    "3510"
  ],
  "maxReviewsPerCompany": 25
}

A name is matched to the closest company and the one chosen is reported on that company's row as resolved_from, so you can confirm it picked the right one. A name that matches nothing is skipped with a warning and the rest of the run continues.

Useful recipes

Only the complaints, for a churn or culture study

{
  "companies": ["Google"],
  "minRating": 1,
  "maxRating": 2,
  "maxReviewsPerCompany": 500
}

Everything a company has ever received

{
  "companies": ["Siemens"],
  "maxReviewsPerCompany": 0
}

Full history, with a ceiling on what one run can cost

{
  "companies": ["Siemens", "SAP", "Google"],
  "maxReviewsPerCompany": 0,
  "maxReviewsTotal": 50000
}

Each company is uncapped, but the run stops at 50,000 reviews in total. The log reports the projected total company by company before the run gets there, so an unexpectedly large job is visible early.

Watch for new reviews on a schedule

{
  "companies": ["Google", "Deloitte"],
  "postedAfter": "2026-09-01",
  "sort": "DATE",
  "maxReviewsPerCompany": 0
}

Run that daily and it stops as soon as it reaches reviews older than your date, so a watch run stays small and cheap. Every review also carries review_updated_at separately from review_posted_at, so you can tell an edited review from a new one between runs.

One topic across competitors

{
  "companies": ["Google", "Microsoft", "Apple"],
  "textSearch": "management",
  "maxReviewsPerCompany": 200
}

What data can you extract from Glassdoor?

Each run writes two kinds of row into one dataset, told apart by record_type.

Review rows

52 fields each: identity and both timestamps, the full text (summary, pros, cons, advice), all seven numeric ratings, the three verdict ratings, reviewer context (job title with Glassdoor's title and job-family ids, location, tenure bucket, leaving year, employment type), engagement counts, moderation flags, employer replies including the responder's job title, language and translation provenance, and the company the review belongs to.

Real captured row, returned by exactly the input shown above. Pros and cons run long in the wild, so those free-text fields are shortened here with a trailing ellipsis; every key and shape is exactly as emitted:

{
  "record_type": "review",
  "employer_id": 9079,
  "company_name": "Google Inc.",
  "company_short_name": "Google",
  "company_logo_url": "https://media.glassdoor.com/sql/9079/google-squarelogo-1441130773284.png",
  "company_reviews_url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm",
  "review_id": 4204034,
  "review_posted_at": "2014-05-10T14:46:38.187",
  "review_updated_at": "2026-01-16T00:38:50.247",
  "summary": "Great balance between big-company security and fun, fast-moving projects",
  "summary_original": null,
  "pros": "* If you're a software engineer, you're among the kings of the hill at Google. It's an engineer-driven company without a doubt (that *is* changing, bu ...",
  "pros_original": null,
  "cons": "* It *is* becoming larger, and with it comes growing pains: bureaucracy, slow to respond to market threats, bloated teams, cross-divisional tension (t ...",
  "cons_original": null,
  "advice": "Keep the focus on the user. Everything else will follow.",
  "rating_overall": 5,
  "rating_work_life_balance": 5.0,
  "rating_culture_and_values": 4,
  "rating_career_opportunities": 5.0,
  "rating_compensation_and_benefits": 5.0,
  "rating_senior_leadership": 4.0,
  "rating_diversity_and_inclusion": 0,
  "rating_ceo": "APPROVE",
  "rating_business_outlook": "POSITIVE",
  "rating_recommend_to_friend": "POSITIVE",
  "job_title": "Software Engineer III",
  "job_title_id": 4514,
  "job_family_id": 100063,
  "employment_status": "REGULAR",
  "is_current_job": true,
  "job_ending_year": null,
  "length_of_employment": 2,
  "location_id": 1132348,
  "location_name": "New York, NY",
  "location_type": "CITY",
  "division_name": null,
  "division_link": null,
  "count_helpful": 1138,
  "count_not_helpful": 16,
  "has_employer_response": false,
  "employer_responses": [],
  "featured": false,
  "flagging_disabled": null,
  "is_language_mismatch": false,
  "language_id": "eng",
  "original_language_id": null,
  "translation_method": null,
  "is_covid19": false,
  "flag_count": null,
  "is_legal": true,
  "related_structures": []
}

employer_responses is an empty list when the employer has not replied, as in the row above. Roughly one review in eight carried a reply across the companies we sampled. When there is one, that part of the row looks like this, taken from a real review of another company:

{
  "has_employer_response": true,
  "employer_responses": [
    {
      "responded_at": "2015-07-10T16:23:44.93",
      "response": "Thanks for your great feedback. We really appreciate the transparency from Mark, Sheryl, and the entire leadership team.  This open culture does permeate throughout the company, and we are focused on maintaining it as we grow. Even as we have grown, our commit ...",
      "count_helpful": 0,
      "count_not_helpful": 0
    }
  ]
}

The *_original fields and translation_method are populated only for reviews Glassdoor translated; they are null otherwise. advice is often null because reviewers may leave it blank.

Company profile rows

One per company, 45 fields, never charged. Firmographics, nine canonical URLs for every Glassdoor section, review, salary, photo, interview and job counts plus how many reviews are actually available to collect, the published ratings block including business outlook and how many ratings back the CEO figure, the published star breakdown overall and for each of the six rating categories, demographic breakdowns, awards, and corporate relationships with their logos.

Real captured row from the same run, with the description shortened, the awards list cut to 2 of 19, competitors cut to 2 of 3, and demographic ratings cut to 2 of 6 categories with 2 groups each; the real row carries every category and group.

{
  "record_type": "company",
  "employer_id": 9079,
  "resolved_from": "name",
  "company_name": "Google Inc.",
  "short_name": "Google",
  "employer_type": "Company - Public",
  "year_founded": 1998,
  "is_valid": true,
  "headquarters": "Mountain View, CA",
  "revenue": "$10+ billion (USD)",
  "size": "10000+ Employees",
  "size_category": "GIANT",
  "website": "https://goo.gle/4ehVuXi",
  "primary_industry": "Internet & Web Services",
  "primary_industry_id": 200063,
  "description": "Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have over a hundred thousand employe ...",
  "mission": "Organize the world’s information and make it universally accessible and useful.",
  "logo_url": "https://media.glassdoor.com/sqls/9079/google-squarelogo-1441130773284.png",
  "logo_url_large": "https://media.glassdoor.com/sqll/9079/google-squarelogo-1441130773284.png",
  "cover_photo_url": null,
  "overview_url": "https://www.glassdoor.com/Overview/Working-at-Google-EI_IE9079.11,17.htm",
  "reviews_url": "https://www.glassdoor.com/Reviews/Google-Reviews-E9079.htm",
  "jobs_url": "https://www.glassdoor.com/Jobs/Google-Jobs-E9079.htm",
  "salaries_url": "https://www.glassdoor.com/Salary/Google-Salaries-E9079.htm",
  "interview_url": "https://www.glassdoor.com/Interview/Google-Interview-Questions-E9079.htm",
  "benefits_url": "https://www.glassdoor.com/Benefits/Google-Benefits-E9079.htm",
  "photos_url": "https://www.glassdoor.com/Photos/Google-Office-Photos-E9079.htm",
  "locations_url": "https://www.glassdoor.com/Location/All-Google-Office-Locations-E9079.htm",
  "faq_url": "https://www.glassdoor.com/FAQ/Google-Questions-E9079.htm",
  "review_count": 71308,
  "reviews_available": 65830,
  "salary_count": 192406,
  "photo_count": 621,
  "interview_count": 0,
  "job_count": 5647,
  "ratings": {
    "overall": 4.4,
    "recommend_to_friend": 0.88,
    "ceo_approval": 0.85,
    "culture_and_values": 4.3,
    "diversity_and_inclusion": 4.4,
    "work_life_balance": 4.2,
    "career_opportunities": 4.2,
    "senior_management": 4.0,
    "compensation_and_benefits": 4.5,
    "business_outlook": 0.82,
    "review_count": 71278,
    "ceo_ratings_count": 7699
  },
  "rating_distribution": {
    "one_star": 571,
    "two_star": 555,
    "three_star": 2447,
    "four_star": 7037,
    "five_star": 14385
  },
  "rating_distribution_by_category": {
    "culture_and_values": {
      "one_star": 508,
      "two_star": 524,
      "three_star": 1598,
      "four_star": 2978,
      "five_star": 7177
    },
    "work_life_balance": {
      "one_star": 476,
      "two_star": 580,
      "three_star": 1759,
      "four_star": 2941,
      "five_star": 6874
    },
    "career_opportunities": {
      "one_star": 500,
      "two_star": 609,
      "three_star": 1903,
      "four_star": 3301,
      "five_star": 6995
    },
    "senior_management": {
      "one_star": 861,
      "two_star": 858,
      "three_star": 2132,
      "four_star": 3137,
      "five_star": 5597
    },
    "compensation_and_benefits": {
      "one_star": 276,
      "two_star": 234,
      "three_star": 1098,
      "four_star": 3087,
      "five_star": 8249
    },
    "diversity_and_inclusion": {
      "one_star": 443,
      "two_star": 399,
      "three_star": 1334,
      "four_star": 2795,
      "five_star": 7670
    }
  },
  "ceo": {
    "name": "Sundar Pichai",
    "photoUrl": "https://media.glassdoor.com/people/sql/9079/google-sundar-pichai.png",
    "title": "CEO"
  },
  "rated_ceo": {
    "id": 380236,
    "name": "Sundar Pichai",
    "photoUrl": "https://media.glassdoor.com/people/sql/9079/google-sundar-pichai.png",
    "title": "CEO"
  },
  "demographic_ratings": [
    {
      "category": "gender",
      "values": [
        {
          "value": "man",
          "review_count": 3744,
          "overall": 4.3,
          "business_outlook": 0.78,
          "career_opportunities": 4.1,
          "ceo_approval": 0.78,
          "compensation_and_benefits": 4.5,
          "culture_and_values": 4.1,
          "diversity_and_inclusion": 4.3,
          "recommend_to_friend": 0.85,
          "work_life_balance": 4.1,
          "senior_management": 3.7
        },
        {
          "value": "woman",
          "review_count": 1879,
          "overall": 4.2,
          "business_outlook": 0.78,
          "career_opportunities": 4.0,
          "ceo_approval": 0.77,
          "compensation_and_benefits": 4.4,
          "culture_and_values": 4.1,
          "diversity_and_inclusion": 4.1,
          "recommend_to_friend": 0.81,
          "work_life_balance": 4.1,
          "senior_management": 3.7
        }
      ]
    },
    {
      "category": "raceEthnicity",
      "values": [
        {
          "value": "indigenousAmerican",
          "review_count": 212,
          "overall": 4.4,
          "business_outlook": 0.82,
          "career_opportunities": 4.4,
          "ceo_approval": 0.85,
          "compensation_and_benefits": 4.4,
          "culture_and_values": 4.2,
          "diversity_and_inclusion": 4.2,
          "recommend_to_friend": 0.89,
          "work_life_balance": 4.3,
          "senior_management": 4.1
        },
        {
          "value": "asian",
          "review_count": 2083,
          "overall": 4.4,
          "business_outlook": 0.83,
          "career_opportunities": 4.2,
          "ceo_approval": 0.83,
          "compensation_and_benefits": 4.5,
          "culture_and_values": 4.3,
          "diversity_and_inclusion": 4.4,
          "recommend_to_friend": 0.89,
          "work_life_balance": 4.3,
          "senior_management": 3.9
        }
      ]
    }
  ],
  "competitors": [
    {
      "employer_id": 1651,
      "name": "Microsoft Corporation",
      "short_name": "Microsoft",
      "logo_url": "https://media.glassdoor.com/sql/1651/microsoft-squarelogo-1479856042252.png"
    },
    {
      "employer_id": 1138,
      "name": "Apple Inc.",
      "short_name": "Apple",
      "logo_url": "https://media.glassdoor.com/sql/1138/apple-squarelogo-1595530154096.png"
    }
  ],
  "awards": [
    {
      "award_id": 83,
      "name": "Best Places to Work 2018",
      "rank": 5,
      "year": "2018",
      "list_type": "BPTW",
      "is_current": false
    },
    {
      "award_id": 100,
      "name": "Best Places to Work 2019",
      "rank": 8,
      "year": "2019",
      "list_type": "BPTW",
      "is_current": false
    }
  ],
  "subsidiaries": [
    {
      "employer_id": 40803,
      "name": "YouTube, LLC",
      "short_name": "YouTube",
      "logo_url": "https://media.glassdoor.com/sql/40803/youtube-squarelogo.png"
    },
    {
      "employer_id": 1368745,
      "name": "Calico Life Sciences LLC",
      "short_name": "Calico Life Sciences",
      "logo_url": "https://media.glassdoor.com/sql/1368745/calico-squarelogo-1496902283109.png"
    },
    {
      "employer_id": 2328370,
      "name": "Sidewalk Labs",
      "short_name": "Sidewalk Labs",
      "logo_url": "https://media.glassdoor.com/sql/2328370/sidewalk-labs-squarelogo-1558374555705.png"
    }
  ],
  "siblings": []
}

demographic_ratings breaks the company's ratings out by gender, race and ethnicity, sexual orientation, disability, parent or caregiver status and veteran status, each group with its own sub-ratings and the number of reviews behind them. competitors gives you Glassdoor's own peer set with IDs you can feed straight back in to benchmark against.

ratings, rating_distribution and demographic_ratings are the figures Glassdoor publishes for the whole company. They describe Glassdoor's own scope, not the reviews returned in your run, so do not expect the star breakdown to add up to your row count.

Exports

Two CSV downloads are offered on the run, one holding the review columns and one the company profile columns, because a single CSV of everything runs to hundreds of columns. Each keeps every row, so the other row kind appears with only its shared columns filled.

CSV and Excel flatten nested fields such as employer_responses, ratings, rating_distribution and awards into dotted columns. Choose JSON or JSONL when you want those nested shapes intact.

Pricing

Pay per event. You are charged for review rows only.

Event	When charged	Price
Review	Each review row delivered	$0.00099
Actor start	Once per run	$0.00399
Company profile row	Never charged	$0.00

That is 99 cents per 1,000 reviews. The per-review price drops on higher Apify plans, to $0.00089, $0.00079 and $0.00069.

Worked examples at the standard rate:

What you run	Reviews	Cost
One company, default limit	100	$0.10
Ten companies, 500 each	5,000	$4.95
One large employer, every review	20,561	$20.36

Each figure adds the one-off $0.00399 start. Filters reduce what you receive and you are only charged for rows actually delivered, so a narrow textSearch or star band costs less than the same run unfiltered.

FAQ

Can I really get more than 200 reviews for one company? Yes. Glassdoor's website stops showing you reviews after about 200, but that is a limit of the website, not of the data. Asked for every review Siemens AG has, this scraper returned 20,561 of the 20,561 available, with no gaps and no duplicates.

Do I need a Glassdoor account, login or cookies? No. Provide companies and run.

How do I join reviews to the companies they came from? You do not have to. Every review row already carries employer_id and company_reviews_url. Keep includeCompanyProfile on and you also get one profile row per company, joinable on the same employer_id.

Which companies can I scrape? Any company with a Glassdoor profile. Pass a name, a Glassdoor URL from either the reviews or profile page, or the numeric company ID.

What happens if one company in my list cannot be found? That input is skipped with a warning and the run continues with the rest. You are not charged for reviews that were never delivered.

Can I detect new or edited reviews between runs? Yes. review_posted_at is when the review first appeared and review_updated_at is when it last changed, so a scheduled run can tell the two apart. Combine with postedAfter to keep watch runs small.

Why does the star breakdown not add up to my reviews? rating_distribution and ratings are Glassdoor's own published figures for the whole company, calculated over a narrower and more positive population than the review list. They are included because they are what Glassdoor displays, not as a summary of your rows.

Is there a free tier? Apify free-plan accounts get a trial: up to 100 reviews per run, for a small number of runs. Company profile rows do not count against it. Paid plans have no cap.

Can I get jobs, salaries or interview questions too? Not from this Actor. It is deliberately scoped to reviews and company profiles.

Support

Found a field missing, a company that will not resolve, or a result that looks wrong? Open an issue on the Actor's Issues tab with the input you used. We read every one.