Glassdoor Scraper - Jobs, Reviews and Salaries
Pricing
from $1.50 / 1,000 results
Extract Glassdoor jobs, company profiles, reviews, salaries, interviews and benefits from the US, UK, Germany and India. Pay per delivered row, plus a start fee.
You can access the Glassdoor Scraper - Jobs, Reviews and Salaries 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 "channel": "jobs",10 "keyword": "software engineer",11 "employerId": "",12 "companyUrl": "",13 "companyName": "",14 "detailUrls": [],15 "jobListingIds": [],16 "maxResults": 3,17 "market": "us",18 "location": "",19 "jobTitle": "",20 "maxPages": 1,21 "enrichDetails": True,22 "easyApply": False,23 "remote": False,24 "seniority": "",25 "sortBy": "",26 "domain": "",27 "includeRaw": False,28 "failover": True,29 "workerBaseUrl": "",30}31
32# Run the Actor and wait for it to finish33run = client.actor("lentic_clockss/glassdoor-scraper").call(run_input=run_input)34
35# Fetch and print Actor results from the run's dataset (if there are any)36print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")37for item in client.dataset(run.default_dataset_id).iterate_items():38 print(item)39
40# 📚 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 Scraper - Jobs, Reviews and Salaries API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: