# Glassdor Reviews Scraper (`reviewly/glassdor-reviews-scraper`) Actor Scrape company reviews from Glassdoor with pagination, date filtering, and multi-company support. - **URL**: https://apify.com/reviewly/glassdor-reviews-scraper.md - **Developed by:** [Reviewly](https://apify.com/reviewly) (community) - **Categories:** Developer tools, Other, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 record scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Glassdoor Reviews Scraper — Extract Company Reviews at Scale **Turn Glassdoor employee reviews into structured data — no API key, no manual copy-paste, no limits.** Scrape hundreds or thousands of Glassdoor company reviews in minutes. Get ratings, pros & cons, job titles, employer responses, and more — all delivered in clean JSON, ready for analysis or integration. - ✅ Scrape multiple companies in a single run - ✅ Filter reviews by date to get only recent feedback - ✅ Set a maximum review count to control costs - ✅ Automatic pagination — no page-by-page setup needed - ✅ Built-in duplicate detection and residential proxy rotation --- ### 📌 What This Actor Does This Apify Actor scrapes employee reviews from **Glassdoor France (glassdoor.fr)**. It navigates company review pages, handles Glassdoor's anti-bot protections automatically, and collects structured review data for every company you provide. **Who is it for?** - **HR & People teams** monitoring employer brand and benchmarking against competitors - **Consultants & agencies** running employee experience audits for clients - **Data analysts & researchers** studying workplace trends at scale - **Businesses** tracking their own Glassdoor reputation over time --- ### ✨ Key Features - **Multi-company support** — provide a list of Glassdoor URLs and scrape all of them in one run - **Date filtering** — set a `targetDate` to only collect reviews submitted after a specific date, perfect for incremental runs - **Review cap** — set `maxNumberOfReviews` to limit how many reviews are collected per company, keeping costs predictable - **Full pagination** — automatically fetches all pages using both HTML scraping (page 1) and Glassdoor's internal GraphQL API (pages 2+) - **Duplicate detection** — built-in deduplication across all pages ensures clean data - **Employer responses** — captures official company replies alongside each review - **Residential proxy rotation** — uses RESIDENTIAL proxies by default to stay undetected --- ### 🧠 Why This Actor is Different Most Glassdoor scrapers break within days because they rely on brittle CSS selectors or a single parsing strategy. This actor handles **all three Glassdoor page formats** that exist in the wild: | Format | When it appears | |---|---| | Next.js App Router (RSC / BFF) | Most company pages today | | Single-review detail page | Companies with very few reviews | | Legacy `__NEXT_DATA__` format | Older company profiles | It automatically detects which format is served and parses each one correctly — so you never get empty results due to a page layout change. It also uses **exponential backoff retries** (up to 10 attempts per page) and **random delays between requests**, making it significantly more robust against rate limiting than basic scrapers. --- ### ⚙️ Input Configuration #### Fields | Field | Type | Required | Default | Description | |---|---|---|---|---| | `startUrls` | Array | ✅ | — | One or more Glassdoor company review page URLs | | `maxNumberOfReviews` | Integer | ❌ | `0` (no limit) | Maximum reviews to collect per company | | `targetDate` | String (YYYY-MM-DD) | ❌ | — | Only collect reviews on or after this date | | `proxyConfiguration` | Object | ❌ | RESIDENTIAL | Proxy settings (Apify proxy recommended) | #### Example Input ```json { "startUrls": [ { "url": "https://www.glassdoor.fr/Avis/Partoo-Avis-E1897958.htm" }, { "url": "https://www.glassdoor.fr/Avis/Leboncoin-Avis-E781588.htm" } ], "maxNumberOfReviews": 200, "targetDate": "2024-01-01", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` #### Tips for Best Results - **Finding the URL:** Go to the company's Glassdoor page, click "Reviews", and copy the URL from your browser. It should look like `https://www.glassdoor.fr/Avis/CompanyName-Avis-EXXXXXXX.htm`. - **Incremental runs:** Set `targetDate` to the date of your last run to only fetch new reviews — ideal for scheduled monitoring. - **Cost control:** Use `maxNumberOfReviews` when you only need a sample (e.g., the 100 most recent reviews). - **Proxies:** Always keep residential proxies enabled. Glassdoor aggressively blocks datacenter IPs. *** ### 📤 Output Format Each company produces **one dataset item** containing the company metadata and all collected reviews. #### Structure ```json { "entity": { "id": 1897958, "keyword": "Partoo", "totalRating": 4.2, "totalReviews": 312, "ratingDetails": { "5": 150, "4": 80, "3": 40, "2": 25, "1": 17 }, "sourceUrl": "https://www.glassdoor.fr/Avis/Partoo-Avis-E1897958.htm" }, "reviews": [ { "reviewId": 98765432, "date": "2024-11-15T00:00:00.000Z", "rating": 5, "title": "Great place to grow", "location": "Paris", "reviewBody": "", "points": { "positivePoints": "Excellent team culture, lots of autonomy, real impact on the product.", "negativePoints": "Rapid growth means processes are still maturing." }, "author": { "jobTitle": "Software Engineer", "isCurrentlyWorking": true }, "comment": { "body": "Thank you for your feedback! We're working hard on our processes.", "date": "2024-11-20T00:00:00.000Z" }, "url": "https://www.glassdoor.fr/Avis/avis-employé-Partoo-RVW98765432.htm", "scrapedAt": "2025-05-17T10:32:00.000Z" } ] } ``` #### Field Reference **`entity` object** | Field | Description | |---|---| | `id` | Glassdoor internal company ID | | `keyword` | Company short name as used by Glassdoor | | `totalRating` | Overall average rating (out of 5) | | `totalReviews` | Total number of rated reviews on Glassdoor | | `ratingDetails` | Count of reviews per star rating (1–5) | | `sourceUrl` | The input URL provided for this company | **`reviews` array — each item** | Field | Description | |---|---| | `reviewId` | Unique Glassdoor review ID | | `date` | Date the review was submitted (ISO 8601) | | `rating` | Star rating given by the reviewer (1–5) | | `title` | Review headline / summary | | `location` | Reviewer's work location | | `points.positivePoints` | Pros section of the review | | `points.negativePoints` | Cons section of the review | | `reviewBody` | Full review body (when available) | | `author.jobTitle` | Reviewer's job title | | `author.isCurrentlyWorking` | Whether the reviewer is a current employee | | `comment.body` | Official employer response text | | `comment.date` | Date of the employer response | | `url` | Direct link to the review on Glassdoor | | `scrapedAt` | Timestamp of when this review was scraped | *** ### ▶️ How to Use #### On the Apify Platform (Recommended) 1. Open the actor in the Apify Store and click **Try for free** 2. In the **Input** tab, paste one or more Glassdoor company review URLs into `startUrls` 3. Optionally set `maxNumberOfReviews` and/or `targetDate` 4. Make sure **Proxy configuration** is set to use RESIDENTIAL proxies 5. Click **Save & Run** 6. Once finished, open the **Dataset** tab to view or export your results (JSON, CSV, Excel) #### Via the Apify API ```bash curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "startUrls": [{ "url": "https://www.glassdoor.fr/Avis/Partoo-Avis-E1897958.htm" }], "maxNumberOfReviews": 100, "targetDate": "2024-01-01" }' ``` #### Scheduled Monitoring (Automated) 1. Go to **Schedules** in your Apify account 2. Create a new schedule (e.g., every Monday at 9am) 3. Attach this actor with `targetDate` set to the previous week 4. Connect the output dataset to your BI tool, spreadsheet, or webhook *** ### 📈 Use Cases #### 1. Employer Brand Monitoring Track how employee sentiment evolves month over month. Feed the data into a dashboard to visualize rating trends, identify recurring complaints, and measure the impact of internal initiatives. #### 2. Competitive Benchmarking Collect reviews for 10–20 competitors in your industry. Compare average ratings, common pros/cons, and response rates to understand where you stand in the talent market. #### 3. HR Audit & Due Diligence Before a merger, acquisition, or partnership, scrape the target company's reviews to get an unfiltered view of their culture, management style, and employee satisfaction. #### 4. Recruitment & Talent Intelligence Identify what employees value most at top companies in your sector. Use the data to refine your own job postings and employer value proposition. #### 5. Academic & Market Research Gather large-scale workplace data for research on topics like remote work adoption, management practices, compensation satisfaction, or industry-specific trends. *** ### 🛠️ Advanced Tips #### Running Multiple Companies Efficiently Add all company URLs to `startUrls` in a single run rather than running the actor separately per company. This is more efficient and uses fewer compute units. #### Incremental Scraping with `targetDate` For ongoing monitoring, store the last run date and pass it as `targetDate` on the next run. This ensures you only pay for new reviews and keeps your dataset fresh without duplicating old data. #### Adjusting Proxy Settings The actor defaults to French RESIDENTIAL proxies (`countryCode: FR`). If you need to scrape companies on other Glassdoor locales, you may need to adjust the proxy country in the configuration. #### Exporting Data From the Apify dataset view you can export results as: - **JSON** — for API integrations and developers - **CSV / Excel** — for analysts and spreadsheet workflows - **XML / RSS** — for legacy system integrations *** ### 💰 Pricing This actor uses **pay-per-event** pricing — you are only charged for the reviews actually scraped, not for failed attempts or filtered results. | Event | Price | |---|---| | 1 review scraped | **$0.006** | | 100 reviews | **$0.60** | | 1,000 reviews | **$6.00** | | 10,000 reviews | **$60.00** | **Example:** Scraping a company with 250 reviews costs **$1.50**. There are no subscriptions, no seat fees, and no charges if the actor fails to retrieve results. You pay only for what you get. > Apify platform compute and proxy costs are billed separately by Apify and are typically negligible (a few cents per run). *** ### ❓ FAQ / Troubleshooting **Q: The actor runs but returns 0 reviews — what's wrong?**\ A: This almost always means the proxy is blocked. Make sure you have RESIDENTIAL proxies enabled, not datacenter proxies. Glassdoor blocks datacenter IPs aggressively. **Q: Some reviews are missing the `title` field — is that a bug?**\ A: No. When Glassdoor serves a single-review detail page (companies with very few reviews), titles are not exposed in the page HTML. All other fields will still be populated. **Q: The actor stopped early and didn't reach my `maxNumberOfReviews`.**\ A: If you set `targetDate`, the actor stops as soon as it encounters a full page of reviews older than that date. This is intentional to avoid wasting compute. If you want all reviews regardless of date, leave `targetDate` empty. **Q: Can I scrape reviews in languages other than French?**\ A: The actor currently filters for French-language reviews (`filter.iso3language=fra`). Scraping other languages requires modifying the language filter in the source code. **Q: How many reviews can I scrape per run?**\ A: There is no hard limit — the actor will paginate through all available reviews. Very large companies (1000+ reviews) may take several minutes. Use `maxNumberOfReviews` to cap the run time if needed. **Q: Will this work on glassdoor.com (English) or other country versions?**\ A: The actor is built and tested against `glassdoor.fr`. Other locales have different URL structures and may require adaptation. **Q: How do I get a fresh `GD_AUTH_TOKEN` if the GraphQL calls stop working?**\ A: Log into the Glassdoor iOS app and capture the `x-gd-auth-token` header from any outgoing API request using a proxy tool like Charles Proxy or mitmproxy. Set the new value as the `GD_AUTH_TOKEN` environment variable on the actor. *** ### 📞 Support - **Bug reports & feature requests:** Open an issue in the actor repository - **General questions:** Use the Apify Community Discord or the actor's discussion tab in the Store - **Direct support:** Email the maintainer at *** ### 💡 Conversion Improvement Suggestions # Actor input Schema ## `startUrls` (type: `array`): One or more Glassdoor company review page URLs (e.g. https://www.glassdoor.fr/Avis/Partoo-Avis-E1897958.htm). ## `maxNumberOfReviews` (type: `integer`): Maximum number of reviews to scrape per company. Set to 0 (or leave empty) for no limit. ## `targetDate` (type: `string`): Only scrape reviews submitted on or after this date (YYYY-MM-DD). Leave empty to scrape all reviews. ## `proxyConfiguration` (type: `object`): Proxy servers used to avoid rate limiting and Cloudflare blocks. Residential proxies recommended. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.glassdoor.fr/Avis/Partoo-Avis-E1897958.htm" } ], "maxNumberOfReviews": 0, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "startUrls": [ { "url": "https://www.glassdoor.fr/Avis/Partoo-Avis-E1897958.htm" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("reviewly/glassdor-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 = { "startUrls": [{ "url": "https://www.glassdoor.fr/Avis/Partoo-Avis-E1897958.htm" }], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("reviewly/glassdor-reviews-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.glassdoor.fr/Avis/Partoo-Avis-E1897958.htm" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call reviewly/glassdor-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=reviewly/glassdor-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Glassdor Reviews Scraper", "description": "Scrape company reviews from Glassdoor with pagination, date filtering, and multi-company support.", "version": "0.0", "x-build-id": "uYhclkBYqBSPj3OlK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/reviewly~glassdor-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-reviewly-glassdor-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/reviewly~glassdor-reviews-scraper/runs": { "post": { "operationId": "runs-sync-reviewly-glassdor-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/reviewly~glassdor-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-reviewly-glassdor-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "startUrls" ], "properties": { "startUrls": { "title": "Company Review URLs", "type": "array", "description": "One or more Glassdoor company review page URLs (e.g. https://www.glassdoor.fr/Avis/Partoo-Avis-E1897958.htm).", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxNumberOfReviews": { "title": "Max reviews per company", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to scrape per company. Set to 0 (or leave empty) for no limit.", "default": 0 }, "targetDate": { "title": "Filter reviews after date", "type": "string", "description": "Only scrape reviews submitted on or after this date (YYYY-MM-DD). Leave empty to scrape all reviews." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy servers used to avoid rate limiting and Cloudflare blocks. Residential proxies recommended.", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```