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Glassdoor Jobs Scraper | Remove Duplicate Jobs

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Glassdoor Jobs Scraper | Remove Duplicate Jobs

Glassdoor Jobs Scraper | Remove Duplicate Jobs

cheap_scraper/glassdoor-job-scraper
Try for free

3 days trial then $5.00/month - No credit card required now

Glassdoor Jobs Scraper | Remove Duplicate Jobs. The Glassdoor jobs scraper allows you to collect jobs in 2 ways: By providing one or more start URLs, or By entering keyword-based search queries. You can use either method individually or combine both.

You can access the Glassdoor Jobs Scraper | Remove Duplicate Jobs 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.com/Job/san-francisco-ca-us-software-engineer-jobs-SRCH_IL.0,19_IC1147401_KO20,37.htm?fromAge=7" }],
10    "baseUrl": "https://www.glassdoor.com",
11    "proxy": { "useApifyProxy": True },
12}
13
14# Run the Actor and wait for it to finish
15run = client.actor("cheap_scraper/glassdoor-job-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-start

Glassdoor Jobs Scraper | Remove Duplicate Jobs API in Python

The Apify API client for Pythonis the official library that allows you to use Glassdoor Jobs Scraper | Remove Duplicate Jobs API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 3 monthly users

  • 1 star

  • 88% runs succeeded

  • Created in Jan 2025

  • Modified 4 days ago

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