Naukri Jobs Scraper
Pricing
Pay per event
Scrape job listings from Naukri.com based on keywords, location, and experience with anti-bot detection. Supports deep search for comprehensive job details including company reviews, salaries, and benefits.
Pricing
Pay per event
Rating
0.0
(0)
Developer
codingfrontend
Actor stats
0
Bookmarked
16
Total users
4
Monthly active users
2 months ago
Last modified
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You can access the Naukri 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 "keywords": "devops engineer",10 "location": "",11 "experience": 0,12 "maxItems": 100,13 "maxPages": 5,14 "deepSearch": False,15 "headless": True,16}17
18# Run the Actor and wait for it to finish19run = client.actor("codingfrontend/naukri-jobs-scraper").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])23for item in client.dataset(run["defaultDatasetId"]).iterate_items():24 print(item)25
26# 📚 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 Naukri Jobs Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: