Apna.co Jobs Scraper
Pricing
Pay per usage
Extract real-time job listings, salary ranges, and company profiles from Apna.co. Scrape employment data for recruitment platforms, job aggregators, and talent analytics. Ideal for job market research and hiring automation.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Shahid Irfan
Actor stats
0
Bookmarked
4
Total users
2
Monthly active users
21 days ago
Last modified
Categories
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You can access the Apna.co Jobs Scraper 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 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 "startUrls": [{ "url": "https://apna.co/jobs/software-engineer-jobs-in-bengaluru_bangalore" }],10 "keyword": "software engineer",11 "results_wanted": 20,12 "max_pages": 5,13}14
15# Run the Actor and wait for it to finish16run = client.actor("shahidirfan/apna-co-jobs-scraper").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-startThe Apify API client for Python is the official library that allows you to use Apna.co Jobs Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: