Pricing
Pay per event
Extract verified salary data, anonymous employee reviews, and company ratings from Glassdoor. Access 70M+ reviews across 70+ countries with 40+ data fields including salary ranges, company culture scores, and job details.
You can access the 💼 Glassdoor Scraper - Company Reviews & Salary Data programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
![Glassdoor Scraper [PPE] avatar](https://images.apifyusercontent.com/X987VQEoLPYP4L2WR1AX44pBDnlRUqXrA84sPA0vouQ/rs:fill:76:76/cb:1/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMudXMtZWFzdC0xLmFtYXpvbmF3cy5jb20vOEYybDN6MGdLQ1lCQ0Y0QmMvaXNQSnExSWdDSmhuY244MFEtZ2xhc3Nkb29yLnBuZw.webp){kind=avatar}
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "max_results": 10,10 "posted_since": "1 days",11 "country": "United States",12 "location": "",13 "search_terms": ["Software Engineer"],14}15
16# Run the Actor and wait for it to finish17run = client.actor("agentx/glassdoor-scraper").call(run_input=run_input)18
19# Fetch and print Actor results from the run's dataset (if there are any)20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])21for item in client.dataset(run["defaultDatasetId"]).iterate_items():22 print(item)23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use 💼 Glassdoor Scraper - Company Reviews & Salary Data API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: