# Glassdoor Reviews Scraper (`getdataforme/glassdoor-reviews-scraper`) Actor Extract authentic employee reviews from Glassdoor to uncover insights into company culture, compensation, and work-life balance. Supports keyword searches, handles up to 5000 reviews, and delivers structured JSON output. Perfect for HR, research, and competitive intelligence. - **URL**: https://apify.com/getdataforme/glassdoor-reviews-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation, Other - **Stats:** 647 total users, 38 monthly users, 91.8% runs succeeded, 7 bookmarks - **User rating**: 4.02 out of 5 stars ## Pricing from $7.65 / 1,000 glassdoor reviews results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README *** ## Glassdoor Company Reviews Scraper ![Glassdoor review scraper](https://i.ibb.co/R4c5NgGW/glassdoor-reviews-scraper.png) Extract authentic employee reviews from Glassdoor to uncover insights into company culture, compensation, and work-life balance. Supports keyword searches, handles up to 5000 reviews, and delivers structured JSON output. Perfect for HR, research, and competitive intelligence. ### Introduction The Glassdoor Company Reviews Spider is a powerful Apify Actor designed to scrape and extract detailed employee reviews from Glassdoor. It enables users to gather authentic insights into company culture, work-life balance, compensation, and more, directly from verified employee experiences. This tool is ideal for HR professionals, researchers, and businesses seeking data-driven understanding of employer reputations. ### Features - **Comprehensive Review Extraction**: Scrapes full review details including pros, cons, ratings, and employer responses. - **Flexible Keyword Search**: Allows targeting specific companies or keywords for precise data collection. - **High-Volume Handling**: Supports up to 5000 reviews per run with efficient pagination. - **Structured JSON Output**: Delivers clean, machine-readable data for easy integration into analytics tools. - **Reliable Data Quality**: Ensures accurate extraction from Glassdoor's dynamic pages. - **Fast and Scalable**: Optimized for performance, handling large datasets without manual intervention. - **Apify Integration**: Seamlessly runs on Apify's cloud platform with monitoring and export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | ItemLimit | integer | No | The maximum number of reviews to extract. Defaults to 5000 if not specified. | 1000 | | Keyword | string | No | The search keyword, typically a company name, to target specific reviews. Defaults to "meta". | "google" | ### Example Usage #### Input Configuration ```json { "ItemLimit": 100, "Keyword": "meta" } ``` #### Output Example ```json [ { "review_id": 102831793, "summary": "Great company", "pros": "Work life balance and free food", "cons": "Hard mixing up in the chain", "advice": null, "rating_overall": 5, "rating_recommend_to_friend": "POSITIVE", "rating_ceo": "APPROVE", "rating_business_outlook": "POSITIVE", "rating_career_opportunities": 5, "rating_compensation_and_benefits": 5, "rating_culture_and_values": 5, "rating_diversity_and_inclusion": 5, "rating_senior_leadership": 5, "rating_work_life_balance": 5, "review_date_time": "2026-02-14T23:30:37.357", "is_current_job": true, "length_of_employment": 9, "job_title": "Sodftware Engineer", "location": "Sunnyvale, CA", "employer_id": 40772, "employer_short_name": "Meta", "employer_logo_url": "https://media.glassdoor.com/sql/40772/meta-squareLogo-1636117276319.png", "count_helpful": 0, "has_employer_response": false, "featured": false, "actor_id": "tRwCHtHxDGZDWXSdB", "run_id": "jdvjX6RqDDYVW8Cyh" }, { "review_id": 3888834, "summary": "Open, fast, no bs", "pros": "It might be easy to roll your eyes when people from Facebook say how open their culture is, but it's true; it's more open than any other place I've worked at. At a company wide-level, secret projects, public incidents, important non-public business metrics and the like are all openly discussed. You can ask questions about them directly to Zuckerburg at the weekly Q&A. I think the idea is that if everyone is on the same page or at least, differing views are heard, the company will be stronger, and solutions may be offered from a place you didn't expect. This is much different from previous companies I worked at, where discussions on internal email lists would be shut down by some lawyer saying that there's certain things that can't be discussed, and important data is divided up to groups and individuals on a \"need to know\" basis, etc. \r\n\r\nThis culture applies at a lower level too. You feel comfortable giving feedback to each other about each other, about product decisions, about management, etc. The flipside of this openness is that you of course, have to be willing to receive the feedback, you have to recognize that while openness and feedback is highly encouraged, decisions have to get made, and actions and data are more valuable than words. At the higher level, since the company trusts employees with access to so much information, keeping such info confidential from the outside world is taken seriously.\r\n\r\nIt's a great place to work as an engineer. You're given a lot of freedom, but it's also a responsibility to make sure you're doing things that are valuable. You don't get much credit for working hard or being smart if you don't produce valuable output.\r\n\r\nOne cool thing about Facebook, in contrast to other comparable companies (Google, Amazon, and Microsoft, though in truth, FB is much smaller), is how they have a pretty singular focus. Even with the differing areas (including advertising and such), they do a good job of keeping their eye on their mission of connecting as many people as possible. I also think they are way more empathetic to their users than most people give them credit for. It seems like popular opinion has it that FB is arrogant and only cares about its users insomuch as they represent $-signs. From within the company, it didn't feel this way at all. I saw a lot of empathy towards users, and a lot effort spent to improve or things or fix broken things with no direct financial benefit. The strategy is not complex. The thinking is that if they can make FB easier and more fun to use, then more people will use it for more time each day (which will also have a network effect of attracting even more people to use it), then the advertising dollars will follow. Of course, it is true that FB wants to make the audience more accessible to advertisers as well, but there are a lot of people at FB who care about privacy and security.\r\n\r\nThey have really good infrastructure and really great ways to share the infrastructure and code. They have a lot of cool internal tools, and what they've built is really impressive, and more importantly, it helps your team build products faster without having to solve problems that someone else already solved. Every software company tries to do this, but FB seems to have been more successful with it. Perhaps it's because they're still relatively small, but if anything, I can at least say it is very cool while it lasts.\r\n\r\nThe perks and work environment are great, unless you're one of those types that can't stand open office spaces. I've worked in both a private office and open offices in multiple companies. While I do think a private office has some benefits, I mostly think it's a personal luxury for the employee and a huge waste of money for the company. I'd much rather have the money go into other areas like salary, benefits, and other workplace improvements rather than the added real estate necessary to have offices.\r\n\r\nOf course, you've heard about the food and snacks. They have an amazing selection of great stuff, and what I like about it is that it sort of goes above and beyond expectations. Sure, some days, lunch is better than others, but I really can't complain, and the selection of drinks and snacks is amazing. It's not like you should work at FB just because of that, but it demonstrates FB's desire to make work as fun and convenient as possible.\r\n\r\nYou'll be surrounded by people who like being there. I can't think of a better environment to work in. If you have a giant ego, you may not like it as much. Respect is definitely given to those that have deep experience in the industry, and they are expected to lead others and mentor more junior employees. However, if for whatever reason, you can't perform at the level expected, no one is going to care if you did this and that at Google or shipped ten things at MS, etc.\r\n\r\nFB also has a lot of fun events, and I made a lot of friends working there, so going to the events was fun. Also, if you're older and worried that FB is just a bunch of 22-year-olds, and that you won't fit in, I wouldn't worry about that. FB does have a lot of young employees (who are really smart btw), and it does hire a lot of people straight out of college, but it also attracts a lot of experienced engineers from other top companies like Google, MS, Amazon, etc.\r\n\r\nWork-life-balance seemed totally normal to me. It may be different depending on your team, but I felt you could do 40-50 hours of work a week for the most part and you would be totally fine. It's about what you produce, not how hard you're working. Other team members who had children would work normal hours and go home at normal times. I didn't see any of these folks have a problem when they left early to take care of their child or things like that. Of course, there could be times that people are expected to work extra if something critical happens, but for the most part everyone wants to avoid this and this happens sparingly, from what I observed. Now, there were many times where I chose to work late myself, but I never felt any pressure to do so. The caveat is that there are on-call rotations, and in addition, even if you are not on-call, you are expected to be reasonably available if the on-call person needs your help. However, again, no one wants this, and your team will work on ways to avoid these situations.\r\n\r\nThe best thing I can say is that working at FB is about productivity. I didn't experience and political bs and it was a pleasure working with a group of people who were all concerned with producing a good product and making the best of the time spent while doing it.", "cons": "FB expects a lot out of engineers, and you can't slack off. Of course, you shouldn't slack off at any job, but since FB is pretty fast-paced, there is a risk that you'll have trouble adjusting at first.\r\n\r\nFB has a lot of custom infrastructure and tools, and prehaps more impressively, it works great. It makes doing your job really great, but on the other hand, you'll end up learning a lot of stuff that won't be applicable elsewhere.\r\n\r\nFB's code-base is very good in some ways, but in other ways, it's not as great as some of the existing engineers think it is. I don't think this is that big of a deal, but the important part is that as an engineer, you need to quickly learn FB's values and practices and \"get with the program\" so to speak. If you don't like some things, then you just have to deal with it, as it's not likely you're going to change people's minds at this point. The nice thing is that things are at least very consistent.", "advice": "You need to focus on how you are going to maintain the existing culture and protocols as you grow. I think this could be really tough.", "rating_overall": 5, "rating_recommend_to_friend": "POSITIVE", "rating_ceo": "APPROVE", "rating_business_outlook": "POSITIVE", "rating_career_opportunities": 5, "rating_compensation_and_benefits": 5, "rating_culture_and_values": 5, "rating_diversity_and_inclusion": 0, "rating_senior_leadership": 5, "rating_work_life_balance": 5, "review_date_time": "2014-03-17T21:26:11.827", "is_current_job": false, "length_of_employment": 2, "job_title": "Software Development Engineer", "location": "Seattle, WA", "employer_id": 40772, "employer_short_name": "Meta", "employer_logo_url": "https://media.glassdoor.com/sql/40772/meta-squareLogo-1636117276319.png", "count_helpful": 548, "has_employer_response": true, "featured": false, "actor_id": "tRwCHtHxDGZDWXSdB", "run_id": "jdvjX6RqDDYVW8Cyh" }, { "review_id": 13818302, "summary": "Fast paced company with high expectations, but incredibly fair. You won't a place that cares more about it's people.", "pros": "- Incredible benefits \r\n- Excellent compensation that rewards strong performance \r\n- Lots of autonomy \r\n- Tons of room for growth\r\n- Very transparent from the top down\r\n- Strong leadership\r\n- Intelligent and caring colleagues\r\n- The most fair and well thought out review process you will find everywhere \r\n- Exciting work", "cons": "- If you don't learn to make the work life balance work for you, it can be exhausting. But you'll also be given lots of support with this if you ask for it. \r\n- It doesn't matter how good you are at your job, chances are you're going to be surrounded by a ton of other people who are just as good if not better. Imposter syndrome is real, but if you got an offer, you probably belong here too.", "advice": "Keep doing what you're doing, keep an eye on employee burnout, keep supporting your people and keep pushing them, and the rest of the world, forward.", "rating_overall": 5, "rating_recommend_to_friend": "POSITIVE", "rating_ceo": "APPROVE", "rating_business_outlook": "POSITIVE", "rating_career_opportunities": 5, "rating_compensation_and_benefits": 5, "rating_culture_and_values": 5, "rating_diversity_and_inclusion": 0, "rating_senior_leadership": 5, "rating_work_life_balance": 5, "review_date_time": "2017-02-16T19:37:03.677", "is_current_job": true, "length_of_employment": 2, "job_title": null, "location": null, "employer_id": 40772, "employer_short_name": "Meta", "employer_logo_url": "https://media.glassdoor.com/sql/40772/meta-squareLogo-1636117276319.png", "count_helpful": 437, "has_employer_response": true, "featured": false, "actor_id": "tRwCHtHxDGZDWXSdB", "run_id": "jdvjX6RqDDYVW8Cyh" } ] ``` ### Use Cases - **Market Research**: Analyze employee sentiments to understand industry trends and company reputations. - **Competitive Intelligence**: Compare reviews across competitors to identify strengths and weaknesses. - **HR Recruitment**: Gather insights for talent acquisition and employer branding strategies. - **Academic Research**: Collect data for studies on workplace culture and employee satisfaction. - **Business Automation**: Automate review monitoring for ongoing sentiment analysis. - **Content Aggregation**: Build databases of reviews for journalism or reporting purposes. ### Installation and Usage 1. Search for "Glassdoor Company Reviews Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The output is a JSON array of objects, each representing a single review. Key fields include: `review_id` (unique identifier), `summary` (brief overview), `pros` and `cons` (detailed feedback), `rating_overall` (1-5 scale), specific ratings for aspects like CEO, culture, and work-life balance, `review_date_time` (timestamp), `job_title`, `location`, `employer_id`, and metadata like `count_helpful` and `has_employer_response`. This structured format allows for easy parsing and analysis. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `ItemLimit` (type: `integer`): The item limit for the spider. ## `Keyword` (type: `string`): The keyword for the spider. ## Actor input object example ```json { "ItemLimit": 50, "Keyword": "meta" } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/glassdoor-reviews-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("getdataforme/glassdoor-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call getdataforme/glassdoor-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/glassdoor-reviews-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/60CQman1uPJZgcyd2/builds/nFz3pnt2wUqiayXwn/openapi.json