Naukri Job Scraper
Pricing
from $0.50 / 1,000 base jobs
[💵 $1.50 / 1K · no start fee] Scrape Naukri.com and Naukrigulf jobs by keyword, location, URL or exact Naukri job ID. Clean company, salary, skills, experience, work mode and full descriptions.
Pricing
from $0.50 / 1,000 base jobs
Rating
0.0
(0)
Developer
WebData Labs
Maintained by CommunityActor stats
1
Bookmarked
5
Total users
1
Monthly active users
14 days ago
Last modified
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Job titles, skills or technologies to search for, exactly as you would type them into Naukri's search box (for example 'python developer' or 'chartered accountant'). Every keyword is combined with every location below, so 3 keywords x 2 cities runs 6 searches in one go.
Cities or countries to restrict the search to (for example bangalore, mumbai, dubai, riyadh, uae). Leave empty to search the selected platform broadly.
[ "bangalore", "pune"]Scrape Naukri.com (India), Naukrigulf.com (GCC), or run the same keyword and location combinations on both.
Instead of building a search here, paste result-page URLs copied from naukri.com (for example https://www.naukri.com/python-developer-jobs-in-pune). Filters set in this input still apply on top, but anything in the URL wins.
[ "https://www.naukri.com/data-scientist-jobs-in-bangalore"]Refresh exact postings by their numeric Naukri job IDs. When set, search fields are ignored and full details are fetched.
[ "150126031660"]How many jobs to return in total, shared across all searches. Set to 0 for every job Naukri will serve for your search (that can be tens of thousands, so raise the limit deliberately).
Fetch each job's own page to add the complete description, education requirements, role, industry, employment type, and how many people have applied and viewed it. This costs one extra request per job, so a large run takes noticeably longer. Off by default; a short description snippet is always included either way.
Keep only jobs open to a candidate with this many years of experience. Naukri matches this against each job's experience range, so 5 returns jobs asking for 3-8 years as well as 5-10.
Lowest annual CTC to accept, in lakhs of rupees (10 means 10,00,000 INR). Naukri filters by salary band, so the exact figure is re-checked on every row. Jobs where the recruiter hid the salary are kept - see 'Only jobs with a disclosed salary' to drop them.
Highest annual CTC to accept, in lakhs of rupees. Useful for pay-band research; leave empty for no upper bound.
Drop every job whose salary Naukri shows as 'Not disclosed'. Most Indian postings hide salary, so expect this to remove the large majority of rows.
Restrict to remote, hybrid or on-site roles. 'Any' returns all three and still labels each row.
Only return jobs posted in the last N days. Naukri supports these windows natively, so narrowing here makes the run faster as well as smaller.
Company jobs are posted by the employer directly; consultancy jobs come from staffing agencies and are often duplicated across clients.
Drop employers rated below this on AmbitionBox (1-5). Companies with no rating at all are dropped too, since there is nothing to check.
Keep only jobs whose title contains at least one of these words. Case-insensitive. Use it to cut the loosely related roles Naukri's keyword search pulls in.
[ "python", "backend"]Drop jobs whose title contains any of these words. Case-insensitive. Handy for stripping out 'intern', 'trainee' or 'walk-in' postings.
[ "intern", "trainee"]Company names to skip entirely, matched exactly as Naukri writes them. Useful for filtering out your own employer or the staffing firms that flood a search.
Naukri's own ordering. 'Freshness' walks the newest postings first, which is what you want for a monitoring run; 'Relevance' matches what the website shows by default.