Glassdoor Scraper (Pay Per Result)
Pricing
$5.00 / 1,000 results
Glassdoor Scraper (Pay Per Result)
Extract comprehensive employee reviews from Glassdoor effortlessly. Gather ratings, comments, and company responses to power your HR insights and market research.
0.0 (0)
Pricing
$5.00 / 1,000 results
4
Monthly users
26
Runs succeeded
>99%
Response time
1.2 hours
Last modified
13 days ago
You can access the Glassdoor Scraper (Pay Per Result) 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 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 "includes": [],
11 "proxy": {
12 "useApifyProxy": True,
13 "apifyProxyGroups": ["RESIDENTIAL"],
14 },
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("memo23/glassdoor-scraper-ppr").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 Scraper (Pay Per Result) API in Python
The Apify API client for Python is the official library that allows you to use Glassdoor Scraper (Pay Per Result) API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$5.00
