Glassdoor Salaries Scraper
Under maintenancePricing
from $2.00 / 1,000 result rows
Scrape Glassdoor salary benchmarks by job title, optionally scoped to a specific company. Get base-pay and total-pay percentiles, currency, pay period, and a pay-mix breakdown per row — ready for CSV, JSON, or API export, no login required. Compensation data scraper. Pay scale benchmarking tool.
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 API & Integrations 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 "jobTitles": ["Software Engineer"],10 "maxResults": 5,11 "proxyConfiguration": {12 "useApifyProxy": True,13 "apifyProxyGroups": ["RESIDENTIAL"],14 },15}16
17# Run the Actor and wait for it to finish18run = client.actor("devilscrapes/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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")22for item in client.dataset(run.default_dataset_id).iterate_items():23 print(item)24
25# 📚 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 Salaries Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: