Pricing
Pay per event
Salary transparency Glassdoor API for compensation analysis. Extract verified job data from Glassdoor's review ecosystem - salary ranges, company ratings, workplace culture insights. Trusted by 5000+ compensation analysts and employer brand managers.
5.0 (1)
Pricing
Pay per event
1
13
8
Issues response
7.2 hours
Last modified
4 days ago
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.
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 "search_terms": ["Data Scientist"],12 "country": "United Kingdom",13 "location": "London",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: