Naukri Jobs Scraper (India)

💼 What is Naukri Jobs Scraper?

Naukri Jobs Scraper extracts job listings from Naukri.com, India's largest job site: job title, company, salary, experience, location, skills, posting date, walk-in details and AmbitionBox ratings, and on request the full job description, education, applicants and views, AmbitionBox salary and interview questions. It works as a Naukri API alternative: run it on a schedule, call it from your code, or plug it into Make, Zapier or n8n.

Type a keyword (python developer) and a city (Bangalore), or paste any Naukri search URL, click Start, and download the jobs in JSON, CSV or Excel. No Naukri account, nothing to set up. One search returns up to 15,000 jobs, and bigger searches are split automatically to go further.

📋 What data can you extract from Naukri?

One item per job, 125 fields:

Category	What you get
🏷️ Job	title, link, Naukri job id, number of openings, promoted or not — Data Engineer
🏢 Company	name, logo, Naukri company id, consultant or direct employer, client of the consultant — Tech Mahindra
💰 Salary	text as shown, yearly min and max in rupees and in lakhs, hidden or not — 15-25 Lacs P.A.
🎓 Experience and education	years asked (min, max), graduate and post-graduate degrees asked — 4-9 Yrs
📍 Location and work mode	cities, areas, office / remote / hybrid — Chennai, Bengaluru
🧰 Skills and description	key skills, short description, full description as text and HTML, highlights
🗂️ Role	role, role category, department, industry, employment type — Software Development
🕒 Dates and activity	posting date, age as shown, applicants and views so far
🚶 Walk-in drives	dates, timing, venue, map link, contact name and phone
⭐ AmbitionBox	company rating and reviews count, recent employee reviews, typical salary for the role, benefits, interview questions
🏛️ Company page (option)	company type, year founded, size, headquarters, offices, followers, ratings by topic, salaries by role
✉️ Company contacts (option)	e-mail addresses, phone numbers and social links found on the company's own website
🎒 Internships	stipend, duration, start date, deadline, perks
📨 Apply	employer's own apply link, careers page, reference code, e-mails and phones written in the ad

Every field, with an example, is listed in the Output section below.

Fields marked detail in the Output tab (full description, education, applicants and views, role and industry, AmbitionBox salary, benefits and interview questions, e-mails and phones written in the ad…) are filled when Extract details is on. It is off by default: the results list alone already gives title, company, salary, experience, location, skills, posting date, walk-in details and the AmbitionBox rating.

✅ Why use Naukri Jobs Scraper?

• 📈 Up to 15,000 jobs per search, and searches above that are split automatically into smaller parts to go further.
• 🎯 Every Naukri filter, by name: experience, salary in lakhs, freshness, work mode, industry, department, role category, company type, degree, company, internship stipend and duration. Type Banking or IT Services & Consulting, no id to look up.
• 📍 Location as text: Bangalore, Delhi NCR, Remote, no city id needed.
• 🧹 More filters than Naukri itself: posting date range, keywords to include or exclude, companies to exclude, experience asked, salary, company rating, walk-in drives only (or none), only jobs with a salary, a phone or an e-mail, only jobs applied for on Naukri.
• 🔔 Monitoring built in: tick Only new jobs, schedule the Actor, and each run returns (and charges) only the jobs it has never delivered before.
• 🗂️ Several searches in one run: keywords × locations, with a cap per search, each job returned once.
• 📊 Market statistics (option): Naukri's own counts for the whole search — jobs by salary band, city, work mode, industry, top hiring companies.
• 🔌 API, scheduling, integrations (Make, Zapier, n8n, Google Sheets…) and JSON/CSV/Excel export via the Apify platform.

🚀 How to scrape Naukri

1. Create a free Apify account.
2. Open Naukri Jobs Scraper, type Search keywords (e.g. python developer) and a Location (e.g. Bangalore), and set the Naukri filters you want.
3. Or paste your own Naukri URLs into Start URLs (any search results page, with its filters, or single job pages), or job ids into Job ids.
4. Set Max jobs (100 by default, 0 = no limit) — and Max jobs per search when you run several searches — then click Start.
5. Download the dataset in JSON, CSV, Excel or via API.

💰 How much does it cost to scrape Naukri?

This Actor uses pay per event pricing: you pay for the jobs you get, and the exact prices for your Apify plan are shown in the Pricing tab. Platform usage (compute, proxy) is included.

• result: each job saved from the results list.
• result-with-details: each job saved with its full job page (Extract details on, or a job pasted by URL or id) — one price for the job, details included, not on top of result.
• market-stats (option, off by default): each search sheet of Add market statistics per search.
• company-details (option, off by default): each company whose Naukri page is read with Add company details, once per run; a company without a page is never charged.
• email-enriched (option, off by default): once per company and per run, where E-mails from the company website finds an e-mail address, on top of the job's price; the phone numbers and social links found on the same pages come with it; a company where no e-mail is found costs nothing.
• A small fee per run start.
• Filters Naukri does not offer are applied by the Actor on every job it reads: a job you keep costs its normal price, a job a filter drops costs only a small filter fee (filter-check, or detail-filter-check when the filter needs the job page) — filtering never costs more than taking everything.

⚙️ Input

{
    "query": "python developer",
    "location": "Bangalore",
    "experience": 3,
    "workMode": ["remote", "hybrid"],
    "maxItems": 200
}

Several searches, a cap per search, only recent jobs, only the ones not delivered before:

{
    "searchQueries": ["data engineer", "java developer"],
    "locations": ["Bangalore", "Pune", "Hyderabad"],
    "maxItemsPerQuery": 50,
    "postedAfter": "7 days",
    "onlyNew": true,
    "stateKey": "tech-india"
}

Or with your own URLs and job ids:

{
    "startUrls": [
        { "url": "https://www.naukri.com/python-developer-jobs-in-bangalore?experience=3" },
        {
            "url": "https://www.naukri.com/job-listings-data-engineer-bangalore-chennai-tech-mahindra-chennai-bengaluru-4-to-9-years-141026037377"
        }
    ],
    "jobIds": ["160126029546"],
    "maxItems": 500
}

Field	Notes
query, searchQueries	Job title, skill, designation or company, as typed in the Naukri search box (python developer, sales, walkin); searchQueries adds more keywords (one search each). Empty = every job of the location and Naukri filters. With no keyword, no location, no Naukri filter and no start URL or job id, the run is a small example (python developer in Bangalore, 20 jobs at most): the Actor's own filters (dates, salary, excluded words…) are not a search on their own.
location, locations	City or area as typed on Naukri (Bangalore, Delhi NCR, Pune, Remote); locations adds more places. Every keyword is searched in every location (max 500 searches per run). Empty = all India.
startUrls	Naukri search results pages (https://www.naukri.com/python-developer-jobs-in-bangalore?experience=3: keyword, location and filters of the URL kept, pagination automatic) or single job pages. Up to 1,000 URLs. When set, the search fields are ignored; filters, caps and monitoring still apply.
jobIds	Naukri job ids, the 12 digits at the end of a job URL (160126029546), read like pasted job pages.
maxItems, maxItemsPerQuery	Most jobs for the whole run, and for EACH search (keyword × location, or search URL). 0 = no limit.
experience	Your experience in years: Naukri keeps the jobs whose range includes it (5).
freshness	Jobs posted in the last 1, 3, 7, 15 or 30 days (Naukri's own filter).
workMode	office, remote, hybrid (several = any of them).
salaryRanges	Naukri salary bands in lakhs per year: 0to3, 3to6, 6to10, 10to15, 15to25, 25to50, 50to75, 75to100, 100to500, 501 (5+ crore).
sortBy	relevance (default) or date. With maxItems, date gives the newest jobs of a search of up to 15,000 jobs; a bigger search is read in parts, each newest first: the jobs kept are recent, not exactly the newest of the whole search.
postedBy	any, company (the employer itself) or consultant (recruitment agencies).
industries, roleCategories	Names as Naukri shows them (IT Services & Consulting, Banking) or Naukri ids (109). Case ignored; an unknown name stops the run before anything is charged and shows the closest names.
companyTypes, departments, ugCourses, pgCourses	Company type (Startup, Indian MNC, Foreign MNC, Govt/PSU…), department, graduate and post-graduate degree asked: pick them in the form.
companyGroupIds	Only the jobs of these companies, by Naukri company id (10476 = Accenture, 13832 = Infosys) — the groupId column of any result.
stipends, internshipDurations	Internships only: stipend per month (unpaid, 10To20…) and duration in months.
extractDetails	Open each job page: full description, all key skills, education, applicants and views, role, department, industry, company description and address, e-mails and phones written in the ad, AmbitionBox reviews, salary, benefits and interview questions. Off by default (charged as a job with details).
includeMarketStats	One sheet per search in the MARKET_STATS record of the run's key-value store: Naukri's counts for the WHOLE search (total, salary bands, cities, work mode, industries, top hiring companies, degrees…), no extra page read. With maxItems, the run stops reading at its cap: the searches not read by then have no sheet, and no charge (500 sheets per run at most). Off by default.
includeCompanyDetails	Read the Naukri page of each hiring company once per run: type, founded, size, headquarters, offices, followers, ratings by topic, benefits, salaries by role. Only large companies have one. Off by default.
enrichEmails	Visit each company's own website (home page, contact and legal pages, 3 pages max, once per company per run) for its e-mail addresses, phone numbers and social links. Needs Extract details or job ids. The website is read from the job page, the company block of the job or the company page (Add company details); a company that publishes none goes out without contacts. Charged once per company where an e-mail is found (see Pricing); a company with no e-mail costs nothing.
postedAfter, postedBefore	Posting date range: 2026-09-01, or a period before now (7 days, 2 weeks, 1 month, 24 hours).
excludeKeywords, includeKeywords	Drop the jobs whose title contains one of these texts (trainee, night shift; a text inside a longer word counts too: intern also drops "International Sales"); keep only the jobs whose title, skills or short description contain one of them. Case and accents ignored.
excludeCompanies	Drop the jobs of companies whose name contains one of these words (staffing).
experienceMin, experienceMax	Experience the job asks for, in years: its range must reach the minimum (5) and start at or below the maximum (0 = fresher jobs).
walkInOnly, excludeWalkIns	Keep only the walk-in interview drives, or drop them.
walkInWithinDays	Walk-in drives still open today or starting within this many days (0 = today, 7 = this week).
onlyWithSalary	Keep only the jobs that show their salary (most Naukri jobs hide it).
minSalaryLakhs, maxSalaryLakhs	Shown salary, in lakhs per year (8.5); jobs with a hidden salary are dropped.
minCompanyRating	Minimum AmbitionBox rating of the company, out of 5 (3.5).
requirePhone, requireEmail, naukriApplyOnly	Only jobs with a phone number, only jobs with an e-mail in the description (needs extractDetails), only jobs applied for on Naukri.
onlyNew, stateKey, resetState	Monitoring: only the jobs never delivered under this memory key; resetState forgets the memory.
Advanced	proxyConfiguration (Apify proxy by default, included in the price; the residential proxy is not available), maxConcurrency, maxRequestsPerMinute, minRequestIntervalMs, maxRequestRetries, debugLog.

📦 Output

One job found by the search python developer in Bangalore, with Extract details on (shortened: empty and long fields cut):

{
    "id": "141026037377",
    "url": "https://www.naukri.com/job-listings-data-engineer-bangalore-chennai-tech-mahindra-chennai-bengaluru-4-to-9-years-141026037377",
    "title": "Data Engineer - Bangalore & CHennai",
    "companyName": "Tech Mahindra",
    "companyId": 100007,
    "groupId": 2114,
    "companyLogo": "https://img.naukimg.com/logo_images/groups/v1/2114.gif",
    "isConsultant": false,
    "isTopGroup": true,
    "location": "Chennai, Bengaluru",
    "locations": ["Chennai", "Bengaluru"],
    "localities": [],
    "locationIds": ["97", "183"],
    "country": "IN",
    "experienceText": "4-9 Yrs",
    "experienceMin": 4,
    "experienceMax": 9,
    "salaryText": "15-25 Lacs P.A.",
    "salaryMin": 1500000,
    "salaryMax": 2500000,
    "salaryCurrency": "INR",
    "salaryPeriod": "year",
    "salaryMinLakhs": 15,
    "salaryMaxLakhs": 25,
    "salaryHidden": false,
    "skills": ["Pyspark", "Big Data", "Rest API Development", "Python", "SQL"],
    "preferredSkills": ["Pyspark", "Big Data", "Rest API Development", "Python", "SQL"],
    "descriptionSnippet": "Data Engineer, 4 to 10 years, Bangalore & Chennai. Python, Pyspark, Big Data, REST API development…",
    "highlights": [],
    "publishedAt": "2026-10-14T12:32:48.000Z",
    "postedAgo": "1 Day Ago",
    "vacancies": 1,
    "applicants": 641,
    "views": 688,
    "workMode": "office",
    "employmentType": "Full Time, Permanent",
    "isInternship": false,
    "internshipPerks": [],
    "roleCategory": "Software Development",
    "roleCategoryId": "1028",
    "jobRole": "Data Engineer",
    "department": "Engineering - Software & QA",
    "industry": "IT Services & Consulting",
    "educationUg": ["Any Graduate"],
    "educationPg": [],
    "educationDoctorate": [],
    "educationSchool": [],
    "companyPageUrl": "https://www.naukri.com/tech-mahindra-overview-2114",
    "companyTags": [],
    "companyAwards": [],
    "companyBenefits": [],
    "companyRatings": [],
    "companyMediaUrls": [],
    "companyOffices": [],
    "companySalaries": [],
    "companyEmails": [],
    "companyEmailKind": null,
    "companyEmailSource": null,
    "companyPhones": [],
    "companySocialLinks": [],
    "applyUrl": null,
    "listingMode": "posted",
    "emails": [],
    "phones": [],
    "isWalkIn": false,
    "tags": [],
    "ambitionBoxRating": 3.3,
    "ambitionBoxReviewsCount": 47379,
    "ambitionBoxUrl": "https://www.ambitionbox.com/reviews/tech-mahindra-reviews",
    "ambitionBoxReviews": [
        {
            "title": "Data Engineer in Bengaluru",
            "rating": 3,
            "likes": "There is no good thing here specially for freshers.",
            "dislikes": "Average for experienced folks…",
            "author": "Anonymous",
            "publishedOn": "04 Sep 2025",
            "url": "https://www.ambitionbox.com/reviews/tech-mahindra-reviews?rid=73479822"
        }
    ],
    "ambitionBoxSalary": {
        "jobProfile": "Data Engineer",
        "averageLakhs": 7.8,
        "minLakhs": 7.4,
        "maxLakhs": 8.2,
        "url": "https://www.ambitionbox.com/salaries/tech-mahindra-salaries/data-engineer"
    },
    "ambitionBoxBenefits": ["Learning & Development Support", "Health Insurance", "Health & Wellness Support"],
    "ambitionBoxInterviewQuestions": [
        "Explain Machine Learning methods.",
        "What are the differences between ELT and ETL, and can you provide an example of each?"
    ],
    "searchKeyword": "python developer",
    "searchLocation": "Bangalore",
    "searchUrl": "https://www.naukri.com/python-developer-jobs-in-bangalore?k=python+developer&l=Bangalore",
    "source": "naukri.com",
    "leadScore": 70,
    "leadSignals": [
        "direct",
        "fresh",
        "salary",
        "company",
        "verified",
        "fewApplicants"
    ],
    "scrapedAt": "2026-10-15T08:00:00.000Z"
}

You can download the dataset in various formats such as JSON, HTML, CSV or Excel.

All 125 fields

Fields	What you get
id, url, title	Job: Naukri job id, public job page, title
companyName, companyId, groupId, companyLogo, companyJobsUrl	Company: name, Naukri ids (groupId = input Companies (Naukri ids)), logo, page with all the company's jobs
hiringFor, isConsultant, hiringForGroupId, hiringForLogo	the client named by a recruitment consultant, and whether a consultant posted the job
isTopGroup, isPromoted, isKycVerified	top company on Naukri (detail), paid promoted job, employer identity verified (detail)
location, locations, localities, locationIds, country	Location: cities as text and as a list, areas (detail), Naukri city ids (detail), IN
experienceText, experienceMin, experienceMax	Experience asked: 4-9 Yrs, 4, 9
salaryText, salaryMin, salaryMax, salaryCurrency, salaryPeriod	Salary: as shown (Not disclosed when hidden), yearly min and max, INR, year — null when hidden
salaryMinLakhs, salaryMaxLakhs, salaryHidden, salaryVariablePercent	the same in lakhs per year, hidden or not, share of variable pay
skills, preferredSkills	key skills (all of them with details), preferred skills (detail)
descriptionSnippet, highlights, description, descriptionHtml	first lines from the results list; highlights, full description as text and HTML (detail)
publishedAt, postedAgo	Dates: posting date in ISO 8601 UTC (what the date filters read), age as shown (1 Day Ago; empty for internships, which show their start date: internshipStart, and for a job read by Job ids or a job page address)
vacancies, applicants, views	openings, applications and views so far (detail)
workMode, employmentType, jobType	office, remote or hybrid; Full Time, Permanent; fulltime or internship
isInternship, internshipStipend, internshipStipendText, internshipStipendCurrency	Internships: monthly stipend as a number and as shown
internshipDuration, internshipDurationMonths, internshipStart, internshipApplyBy, internshipPerks	duration and start (deadline and perks: detail)
roleCategory, roleCategoryId, jobRole, department, industry	Role: Software Development, 1028, Data Engineer, department, IT Services & Consulting (detail; roleCategoryId is empty for a job read by Job ids or a job page address)
educationUg, educationPg, educationDoctorate, educationSchool, educationCombination	Education asked: degrees, 10th / 12th, how they combine (UG or PG) (detail)
companyDescription, companyAddress, companyWebsite, companyPageUrl	about the company, address, website (job page, company block of the job, or company page with Add company details), Naukri company page (detail)
companyHeadquarters, companyFollowers, companyTags, companyAwards	Company page (option Add company details, or the company block of a branded job): headquarters, followers, tags, awards
companyBenefits, companyRatings, companyMediaUrls	benefits reported, employee ratings by topic, company photos and videos
companyType, companyFounded, companySize, companyOverallRating, companyReviewsCount	Public / Private, year founded, size band, overall rating and reviews count (option Add company details)
companyOffices, companySalaries	offices (city, address, headquarters or not, coordinates), salaries by role in lakhs (option Add company details)
brandingBannerUrl, isBranded	banner and flag of a branded (premium) job page (detail)
applyUrl, careersUrl, referenceCode, hasScreeningQuestions, listingMode	Apply: employer's own apply page, careers page, employer's reference, questions asked when applying (empty for a job read by Job ids or a job page address), posted or crawled
emails, phones	e-mail addresses and phone numbers written in the job description (detail)
companyEmails, companyEmailKind, companyEmailSource	Company website (option E-mails from the company website): e-mail addresses published on the company's own website, the kind of the first one (role such as hr@ or careers@, generic such as info@, personal) and the page where it was found
companyPhones, companySocialLinks	phone numbers and social network pages found on the same pages (option E-mails from the company website; free with it)
isWalkIn, walkInStartDate, walkInEndDate, walkInTiming	Walk-in drives: first and last day (YYYY-MM-DD), timing
walkInSaturday, walkInSunday, walkInVenue, walkInMapUrl	open on Saturday / Sunday, venue address, Google Maps link
walkInContactName, walkInContactPhone	person to meet or call, as given in the walk-in block
tags, diversityPreference	Naukri tags of the job (women, diversity…), diversity note
ambitionBoxRating, ambitionBoxReviewsCount, ambitionBoxUrl, ambitionBoxReviews	AmbitionBox: company rating out of 5, reviews count, reviews page, recent employee reviews (detail)
ambitionBoxSalary, ambitionBoxBenefits, ambitionBoxBenefitsReportedBy, ambitionBoxBenefitsUrl	typical yearly salary for this role at this company, benefits and how many employees reported them (detail)
ambitionBoxInterviewQuestions	interview questions reported for this role (detail)
searchKeyword, searchLocation, searchUrl	the search that found the job (null for pasted job URLs and ids)
source, scrapedAt	naukri.com, ISO timestamp of the extraction
leadScore, leadSignals	Lead score for a recruitment agency, 0 to 100, free and computed from the row's own fields: is the company hiring actively and can it be reached? Points: direct 20 (posted by the employer, not a consultancy), phone 20 (a phone number in the job text or the walk-in contact), manyOpenings 15 (2 vacancies or more), fresh 15 (published 7 days or less before the run), salary 10 (salary shown), company 10 (company named), verified 5 (company verified by Naukri), fewApplicants 5 (fewer than 50 applicants). phone, verified and fewApplicants need the job page (Extract details). leadSignals lists the ones the job has.

💡 Tips

How to get more results

One Naukri search gives up to 15,000 jobs. Above that, the Actor splits the search automatically into smaller searches and reads each of them, to go beyond 15,000 jobs (a search such as all jobs in Pune counts more than 60,000). Set maxItems to 0 for no cap, or use several keywords and locations.

How to reduce costs

The price is per job, so the levers are maxItems, maxItemsPerQuery, the Naukri filters (free: Naukri only returns the matching jobs), the Actor's own filters (a dropped job costs only the filter fee) and onlyNew for recurring runs (you never pay twice for the same job). Leave Extract details off when the results-list fields are enough: a job with its full page costs more than a job from the list.

Several searches in one run

Fill searchQueries and / or locations: the Actor runs one search per keyword × location (3 keywords × 4 cities = 12 searches, up to 500 per run). The single query and location fields still work and are added to the lists. A job found by several searches is saved — and charged — once. Set maxItemsPerQuery to give every search its own cap: without it the first searches can use up the whole maxItems budget. You can also paste several search URLs into startUrls: each one is a search of its own, with the same cap.

Monitoring: only the new jobs

Tick Only new jobs (onlyNew) and schedule the Actor. The first run returns everything; each later run skips the jobs already delivered: they are not saved, not charged and, for jobs found by a search, their page is not even opened. The memory lives in a named key-value store of your account (naukri-jobs-scraper-seen, up to 150,000 jobs per key) and is only updated with jobs that really reached the dataset, so a failed run never hides anything. Give each schedule its own stateKey (two schedules sharing a key would hide each other's jobs), and tick resetState once to start over. Searches are then read newest first, and a search stops once it meets a long run of jobs you already have (promoted jobs pinned at the top are not counted).

Filter by posting date

postedAfter and postedBefore take a date (2026-09-01, the whole day is included) or a period before now (7 days, 2 weeks, 1 month; via the API also 24 hours or a full ISO date-time). The filter reads publishedAt; a job without a posting date is dropped as soon as a date bound is set. Naukri gives no posting date to internships on its results list: without Extract details a date bound drops them (no filter fee, one warning in the log); with Extract details the job page dates them and the filter judges it. Filtered-out jobs are not saved and do not count in maxItems (each job dropped costs the filter fee, see Pricing); the run summary tells how many were filtered. With postedAfter, searches are read newest first and stop at the first page that is entirely too old. For the last 1 to 30 days, Naukri's own Freshness filter is free.

Walk-in drives

Use the keyword walkin with Walk-in drives only: each walk-in job comes with its dates, timing, venue, map link and contact, straight from the results list. Walk-in within the next N days keeps the drives you can still attend.

🔌 Integrations and API

Call the Actor via the Apify API, the JavaScript or Python clients, or connect it with integrations and webhooks (Make, Zapier, n8n, Google Sheets, Slack, Airtable…). The dataset can be fetched as JSON or CSV from any tool.

🤖 Use with AI agents (MCP)

AI agents (Claude, ChatGPT, Cursor…) can find and run this Actor through the Apify MCP server, billed to their Apify account like any run. It returns one item per Naukri job. Actor id: nice_dev/naukri-jobs-scraper; MCP server with this Actor only: https://mcp.apify.com/?tools=fetch-actor-details,nice_dev/naukri-jobs-scraper.

Smallest input, for a cheap first call:

{
    "query": "python developer",
    "location": "Bangalore",
    "maxItems": 10
}

Key output fields: url, title, companyName, salaryText, experienceText, location, skills, publishedAt, and description (with extractDetails).

Cost: pay per event — per job saved (result, or result-with-details with the full job page) plus a small fee per run start, see the pricing section above and the Pricing tab. Cap each call with maxItems and, through the API, with the run option maxTotalChargeUsd.

❓ FAQ

Is it legal to scrape Naukri?

The Actor only reads what Naukri shows publicly to any anonymous visitor. It logs in to nothing and needs no Naukri account. Results can contain personal data (the contact person of a walk-in drive, e-mails and phone numbers written in a job ad), which is protected by laws such as the GDPR and India's Digital Personal Data Protection Act: do not store or use it without a legitimate reason. You are responsible for using the data in compliance with Naukri's Terms of Use and applicable law. This Actor is not affiliated with Naukri.com or Info Edge.

Does it give the recruiter's e-mail or phone number?

Naukri does not show the recruiter's contact on its job pages. The Actor returns the contact of walk-in drives (name and phone, as Naukri shows them) and, with Extract details, the e-mail addresses and phone numbers written by the employer in the job description, when there are any.

Where do the company e-mail addresses come from?

With E-mails from the company website on, the Actor reads the pages each company publishes on its own website (home page, contact page, legal notice) and returns the business contact addresses shown there — what any visitor sees. It does not log in, guess addresses, read contact forms or bypass any protection. Some of these addresses are personal data under GDPR (e.g. firstname.lastname@company.com): you are responsible for having a lawful basis before using them, for informing the people concerned and for honouring opt-outs. Rules for B2B e-mail prospecting differ by country (opt-out in some, prior consent in others).

And the phone numbers? The Actor also returns the phone numbers the company publishes on those same pages (tel: links, the company's structured data, numbers written next to a "phone" label or in international form). It never guesses a number, never dials, sends no message and reads nothing that is not shown to any visitor. A number can be personal data (a sole trader's mobile): the same responsibilities apply, and rules on phone prospecting (opt-out registers, prior consent in some countries) differ by country.

Does it need a login or a proxy?

No login. The proxy is included in the price: leave the default setting (the residential proxy is not available). A request the site turns away is retried at once on a new proxy session, up to 10 times on top of the retries (without a proxy, after a pause of 5 seconds, doubled at each retry up to 150 seconds).

Is the data safe to open in Excel or to show on a web page?

Titles and descriptions are the employers' own words, copied as they are. A text can begin with -, +, = or @ (a phone number such as +91…, a title): Excel and Google Sheets may read such a cell of a CSV file as a formula or as a number. The Actor leaves the text as it is, so that the JSON and the API give the real value: when you open a CSV, import these columns as text. descriptionHtml is the employer's HTML, not sanitized: on a web page, escape every field like any text written by a stranger.

Known limitations

• Most Naukri jobs hide their salary: salaryMin / salaryMax are then null and salaryHidden is true (Naukri's salary filter still matches them by their hidden range).
• Above 15,000 jobs, a split search may still miss some jobs; the run log says so when it happens.
• The company e-mails need the company's website, which Naukri shows on the job page of some companies only (about 1 job in 12 in our sample), and on the company page of large companies (about 1 job in 3 with Add company details): a job whose company shows no website goes out without contacts. The option does nothing without Extract details or job ids.
• Fields marked detail are null or empty when extractDetails is off; the company-page fields stay empty for companies that have no Naukri page (most small employers).
• onlyNew remembers job ids, not their content: a job whose salary changed is not returned again.
• Two runs sharing the same stateKey at the same time may both return the same new job.

A run that reaches its timeout stops itself about 45 seconds before it: no new page is asked, what it read is saved and, with onlyNew, remembered, and the run ends Succeeded with "Stopped before the run's timeout". Resurrect it to go on from there, or give the next run a longer timeout (Run options).

A run the platform stops without warning (out of memory)

• Resurrect it: it goes on from where it stood at most a minute before the stop. What it had read since is read again, and the jobs already saved are skipped: none is delivered or charged twice, and maxItems still counts them.
• With onlyNew, the memory is saved after each write (at most once every 2 seconds): resurrect the stopped run and the jobs it had saved meanwhile join the memory; leave it stopped for good, and the next run may return the jobs of its last 2 seconds once more.

Something doesn't work?

The last line of the log counts the jobs saved, filtered out and no longer on Naukri (expired while the run was reading them), and the requests that failed after every retry. Those requests and the expired jobs are listed, with the reason, in the FAILED_REQUESTS record of the run's key-value store. A run that saved nothing and had failed requests fails, and its last message gives the cause.

If Naukri changes its pages, you are told instead of paying for blank rows. A results page that counts jobs but gives none the Actor can read is an error (listed in FAILED_REQUESTS), never a quiet "No jobs found". If the first 20 jobs read all lack their title, posting date, company name, location, skills, experience, salary text or — with extractDetails — description, the run saves nothing more, stops and fails, and its last message names the missing field: at most those first jobs are charged. A job that postedAfter / postedBefore drops because it has no date at all counts among those 20. An internship found by the results list does not count for the date, skills or experience (Naukri never shows them there), nor any internship for the salary text; a walk-in found by the results list does not count for the experience. A run of fewer jobs (a scheduled onlyNew run that finds a few new ones, a small Max jobs) is checked at its end, from 5 jobs: its jobs are already saved, and the run fails with the missing field instead of ending green.

🛟 Support

Open an issue in the Issues tab with a link to your run: the run log and the FAILED_REQUESTS record of the key-value store show exactly which URLs failed and why.