Glassdoor Scraper
3 days trial then $19.99/month - No credit card required now
Glassdoor Scraper
3 days trial then $19.99/month - No credit card required now
Extract millions of job listings and detailed company information from Glassdoor. Scrape salaries, ratings, skills, keywords, location and many more. Blazingly fast, reliable, and high-quality curated data. Easy to use and extremely efficient.
You can access the Glassdoor Scraper programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "urls": [
9 "https://www.glassdoor.com/Job/data-scientist-jobs-SRCH_KO0,14.htm",
10 "https://www.glassdoor.com/Job/data-engineer-jobs-SRCH_KO0,13.htm",
11 "https://www.glassdoor.com/job-listing/data-governance-engineer-disney-entertainment-espn-technology-JV_KO0,24_KE25,61.htm?jl=1009324575964",
12 ] }
13
14# Run the Actor and wait for it to finish
15run = client.actor("radeance/glassdoor-jobs-scraper").call(run_input=run_input)
16
17# Fetch and print Actor results from the run's dataset (if there are any)
18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
19for item in client.dataset(run["defaultDatasetId"]).iterate_items():
20 print(item)
21
22# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startGlassdoor Scraper API in Python
The Apify API client for Python is the official library that allows you to use Glassdoor Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
RadeanceActor Metrics
7 monthly users
-
4 stars
>99% runs succeeded
Created in Jun 2024
Modified 3 months ago
