Glassdoor Salaries Scraper
Pricing
$25.00/month + usage
Glassdoor Salaries Scraper
Scrape salary insights by job title and country from Glassdoor. Get average base pay, percentiles, employer ratings, logos, and more. Ideal for salary research, HR analytics, and job market insights.
0.0 (0)
Pricing
$25.00/month + usage
0
Total users
2
Monthly users
2
Runs succeeded
>99%
Last modified
8 days ago
You can access the Glassdoor Salaries Scraper 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 "jobname": "python developer",10 "country": "United States",11 "proxyConfiguration": {12 "useApifyProxy": True,13 "apifyProxyGroups": ["RESIDENTIAL"],14 },15}16
17# Run the Actor and wait for it to finish18run = client.actor("getdataforme/glassdoor-salaries-scraper").call(run_input=run_input)19
20# Fetch and print Actor results from the run's dataset (if there are any)21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])22for item in client.dataset(run["defaultDatasetId"]).iterate_items():23 print(item)24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startGlassdoor Salaries Scraper API in Python
The Apify API client for Python is the official library that allows you to use Glassdoor Salaries Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
