Indeed Jobs Scraper | Remove Duplicate Jobs
7 days trial then $5.00/month - No credit card required now
Indeed Jobs Scraper | Remove Duplicate Jobs
7 days trial then $5.00/month - No credit card required now
Price for 1000 jobs ≈ $2.5 using datacenter proxies. The Indeed job scraper allows you to collect jobs in 2 ways: 1. By providing one or more start URLs, or 2. By entering keyword-based search queries.
You can access the Indeed 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.indeed.com/jobs?q=backend+developer&l=San+Francisco%2C+CA?fromage=1" }],
10 "keywords": [],
11 "country": "US",
12 "proxy": { "useApifyProxy": True },
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("cheap_scraper/indeed-jobs-scraper-remove-duplicate-jobs").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startIndeed Jobs Scraper | Remove Duplicate Jobs API in Python
The Apify API client for Pythonis the official library that allows you to use Indeed Jobs Scraper | Remove Duplicate Jobs API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
cheap_scraperActor Metrics
2 monthly users
-
1 star
>99% runs succeeded
Created in Jan 2025
Modified a day ago
