Glassdoor Reviews, Interviews, Locations, and Salaries Scraper
2 hours trial then $10.00/month - No credit card required now
Glassdoor Reviews, Interviews, Locations, and Salaries Scraper
2 hours trial then $10.00/month - No credit card required now
Extract comprehensive employee reviews from Glassdoor effortlessly. Gather ratings, comments, and company responses to power your HR insights and market research.
You can access the Glassdoor Reviews, Interviews, Locations, and Salaries 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 = {
9 "startUrls": [{ "url": "https://www.glassdoor.fr/Avis/Aza%C3%A9-Avis-E1360610.htm" }],
10 "proxy": {
11 "useApifyProxy": True,
12 "apifyProxyGroups": ["RESIDENTIAL"],
13 },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("memo23/apify-glassdoor-reviews-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-startGlassdoor Reviews, Interviews, Locations, and Salaries Scraper API in Python
The Apify API client for Python is the official library that allows you to use Glassdoor Reviews, Interviews, Locations, and Salaries Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Muhamed Didovic- 48 monthly users
- 3 stars
- 98.8% runs succeeded
- 6.7 hours response time
- Created in Apr 2024
- Modified 1 day ago
