Naukri Job Scraper

Pricing

Pay per event

Naukri Job Scraper

A fast, reliable Naukri job scraper powered by Playwright + Crawlee + Apify. Extracts job listings & full job-details, supports keyword + location + experience filters, sorting, and optional application-type detection (Apply on Naukri vs Apply on Company Site).

Pricing

Pay per event

Rating

0.0

(0)

Developer

TechUpServices

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

3 days ago

Last modified

Categories

Jobs

Automation

Developer tools

You can access the Naukri Job 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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
10# Run the Actor and wait for it to finish
11run = client.actor("techupservices/naukri-job-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Naukri Job Scraper API in Python

The Apify API client for Python is the official library that allows you to use Naukri Job Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Naukri Job Scraper API in JavaScript

Naukri Job Scraper API through CLI

Naukri Job Scraper OpenAPI definition

Naukri Job Scraper API

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