Naukri Jobs Scraper | Job Details & Company Data

Collect public Naukri India job listings by keyword and location, with up to 100 jobs per search page, full job-detail enrichment, and public company profiles in one HTTP-only Actor. Start with one keyword and city, then export a deduplicated Dataset with titles, companies, salaries, skills, descriptions, industry, ratings, and application links.

What this Actor does

This Actor pages Naukri's public mobile search contract, deduplicates jobs by Naukri job ID, batch-enriches the discovered IDs, and fetches full public job details where available. It can also resolve each employer group to a public company profile with logo, rating, review count, tags, industry, and company URL.

The main differences from a basic Naukri scraper are:

• 100 results per source page instead of the usual 20.
• Batch listing enrichment for up to 50 job IDs per request before full-detail collection.
• Company and industry enrichment from public company-group data.
• HTTP-only execution: no browser, login, account cookies, or API key.

Use cases

• Build or refresh an India-focused job board or recruiting feed.
• Research hiring demand by role, city, experience level, salary band, or industry.
• Compare employers using public company ratings, review counts, tags, and industry.
• Export Naukri jobs to JSON, CSV, Excel, or a downstream database.
• Monitor public job-market changes on a schedule with Apify Tasks.

How to use

1. Open the Actor in Apify Console.
2. Add a keyword and an Indian city, for example software engineer and Bengaluru.
3. Set the maximum number of unique jobs.
4. Keep full details and company profiles enabled unless you need a faster listing-only run.
5. Click Start and open the Dataset when the run finishes.

A small first run:

{
  "searches": [
    {
      "keyword": "software engineer",
      "location": "Bengaluru"
    }
  ],
  "maxJobs": 5,
  "sort": "relevance",
  "includeDetails": true,
  "includeCompanyDetails": true
}

Input

searches is required and accepts 1–25 keyword/location pairs. maxJobs is a global cap across all searches, defaults to 50, and accepts 1–1,000. sort is relevance or date. includeDetails controls full job-detail enrichment. includeCompanyDetails controls public company-profile and industry enrichment.

The Actor deduplicates by Naukri job ID before delivery and before charging. A blank location searches all India.

Complete input contract, including every public field:

{
  "searches": [
    {
      "keyword": "software engineer",
      "location": "Bengaluru"
    }
  ],
  "maxJobs": 5,
  "sort": "relevance",
  "includeDetails": true,
  "includeCompanyDetails": true
}

Field	Type	Default	What it does
searches	array	required	One to 25 search definitions. Each item has a keyword and optional location.
searches[].keyword	string	required	Role, skill, or phrase to search, up to 120 characters.
searches[].location	string	""	Indian city or region; leave blank for all India.
maxJobs	integer	50	Global unique-job cap from 1 to 1,000.
sort	string	relevance	relevance follows Naukri's ranking; date prioritizes newer postings.
includeDetails	boolean	true	Fetch full descriptions, skills, education, role taxonomy, salary details, and application data.
includeCompanyDetails	boolean	true	Add public company name, logo, rating, review count, tags, industry, and profile URL.

Output

Every Dataset item is one unique public job. Run-level counts, source coverage, request count, and errors are stored in the SUMMARY Key-Value Store record. A row with detailStatus: "complete" includes full detail data; batch_only means listing enrichment succeeded but full detail was unavailable; detail_failed means neither full detail nor batch enrichment was available.

This is a complete Dataset item from a real local run of the quick-start input above (limited to one search and five rows):

{
  "recordType": "job",
  "jobId": "261026005898",
  "title": "Software Engineer",
  "companyName": "Qualcomm",
  "companyId": 93105,
  "groupId": 356782,
  "companyLogo": "https://img.naukimg.com/logo_images/groups/v1/mobile/356782.gif",
  "companyRating": 3.6,
  "companyReviewsCount": 1330,
  "companyTags": [
    "Forbes Global 2000",
    "TOP",
    "Fortune Global 500",
    "Highly Rated by Women",
    "Foreign MNC",
    "B2B",
    "SaaS",
    "Private",
    "Company",
    "AmbitionBox Top 2000 companies",
    "Service",
    "Electronic Components / Semiconductors",
    "10001-50000 emp.",
    "Founded: 1996"
  ],
  "companyIndustry": "Electronic Components / Semiconductors",
  "companyProfileUrl": "https://www.naukri.com/qualcomm-overview-356782?tab=jobs",
  "location": "Bengaluru",
  "locations": [
    "Bengaluru"
  ],
  "experience": "0-1 Yrs",
  "minimumExperience": 0,
  "maximumExperience": 1,
  "salary": "17-32 Lacs",
  "salaryMin": 1700000,
  "salaryMax": 3200000,
  "salaryCurrency": "INR",
  "salaryHidden": false,
  "skills": [
    "C++",
    "Python"
  ],
  "description": "Role & responsibilities Work closely with a cross functional team to understand AR/VR use case requirements, dataflows, and HW/SW partitioning Work closely with technology, hardware, and software experts to translate use-case requirements into implementation specifications and contributing to SW Design Leverage expert software knowledge and experience to implement and oversee the design, development, creation, modification, and validation of embedded and cloud edge software, applications, and/or specialized utility programs. Oversee the resolution of design, coding, and other technical issues by presenting end-to-end solutions. Oversee code reviews, regression tests, and the triage of issues to ensure the quality of code. Deploy state-of-the-art computer vision algorithms and features into commercial XR products Develop production code and system architectures with excellent design quality Expertise with modern C++ (11-20), and with writing reliable, maintainable, and idiomatic code Experience with multi-core programming on heterogenous mobile architectures (CPUs, GPUs, DSPs, tensor accelerators, System-on-a-Chip, embedded systems etc.) Outstanding problem-solving skills Excellent communication and team working skills Preferred candidate profile Masters degree in electrical engineering, Computer Science, or related field. 2 to 10 years of Software Engineering or related work experience. Experience with Augmented/Virtual Reality and general computer vision enabling technologies and devices Proven experience in conducting architectural trade-offs, power/performance analysis and/or SW-HW trade-offs Extensive knowledge of graphics pipeline, computer vision pipelines, machine learning methods and/or camera pipelines Experience with embedded platforms such as Android, Linux Experience with Python programming Good knowledge of graphics pipeline, computer vision pipelines, machine learning methods and/or camera pipelines",
  "descriptionHtml": "<p><strong>Role & responsibilities</strong> </p><p> </p><ul><li>Work closely with a cross functional team to understand AR/VR use case requirements, dataflows, and HW/SW partitioning</li><li>Work closely with technology, hardware, and software experts to translate use-case requirements into implementation specifications and contributing to SW Design</li><li>Leverage expert software knowledge and experience to implement and oversee the design, development, creation, modification, and validation of embedded and cloud edge software, applications, and/or specialized utility programs.</li><li>Oversee the resolution of design, coding, and other technical issues by presenting end-to-end solutions.</li><li>Oversee code reviews, regression tests, and the triage of issues to ensure the quality of code.</li><li>Deploy state-of-the-art computer vision algorithms and features into commercial XR products</li><li>Develop production code and system architectures with excellent design quality</li><li>Expertise with modern C++ (11-20), and with writing reliable, maintainable, and idiomatic code</li><li>Experience with multi-core programming on heterogenous mobile architectures (CPUs, GPUs, DSPs, tensor accelerators, System-on-a-Chip, embedded systems etc.)</li><li>Outstanding problem-solving skills</li><li>Excellent communication and team working skills</li></ul><br /><p><strong>Preferred candidate profile</strong> </p><p> </p><ul><li>Masters degree in electrical engineering, Computer Science, or related field. </li><li>2 to 10 years of Software Engineering or related work experience. </li><li>Experience with Augmented/Virtual Reality and general computer vision enabling technologies and devices</li><li>Proven experience in conducting architectural trade-offs, power/performance analysis and/or SW-HW trade-offs</li><li>Extensive knowledge of graphics pipeline, computer vision pipelines, machine learning methods and/or camera pipelines</li><li>Experience with embedded platforms such as Android, Linux</li><li>Experience with Python programming</li><li>Good knowledge of graphics pipeline, computer vision pipelines, machine learning methods and/or camera pipelines</li></ul><br /><br /><br /><br />",
  "shortDescription": "Masters in EE/CS with 2-10 years in Software Engineering, expertise in modern C++ and AR/VR computer vision technologies|Design and develop embedded and cloud edge software, oversee code quality, deploy computer vision algorithms in XR products",
  "jobType": "fulltime",
  "employmentType": "Full Time, Permanent",
  "workFromHomeType": "0",
  "roleCategory": "Software Development",
  "jobRole": "Software Development - Other",
  "functionalArea": "Engineering - Software & QA",
  "industry": "Telecom / ISP",
  "education": {
    "ug": [],
    "pg": [
      "M.Tech in Electronics/Telecommunication, Artificial Intelligence and Machine Learning, Computers"
    ],
    "ppg": []
  },
  "vacancy": 1,
  "applyCount": 1253,
  "viewCount": 2197,
  "postedDate": "2026-10-26T06:26:03+00:00",
  "jobUrl": "https://www.naukri.com/job-listings-software-engineer-qualcomm-bengaluru-0-to-1-years-261026005898",
  "applyUrl": null,
  "searchKeyword": "software engineer",
  "searchLocation": "Bengaluru",
  "searchPage": 1,
  "detailStatus": "complete",
  "scrapedAt": "2026-10-26T11:30:56.371685+00:00"
}

Pricing

This Actor uses pay-per-event pricing. One job-result event is charged for each unique job written to the Dataset. Duplicate jobs, empty searches, failed requests that produce no job, and listing-only diagnostics are not charged. There is no Actor-start fee. Apify applies the price for your plan automatically:

Apify tier	Price per delivered job	Equivalent per 1,000 jobs
Free	$0.001	$1.00
Bronze	$0.0009	$0.90
Silver	$0.0008	$0.80
Gold	$0.00075	$0.75
Platinum	$0.00075	$0.75
Diamond	$0.00075	$0.75

Check the Actor's Pricing tab before starting a paid run.

Related Actors

Actor	Best for
Bayt Jobs Scraper | Full Details & Skills	Adding Middle East job listings with descriptions, skills, dates, and application links.
Indeed Jobs Scraper | Worldwide Job Data	Comparing India results with worldwide Indeed searches.
LinkedIn Jobs Scraper – No Login	Adding public professional-network jobs with workplace and seniority filters.
Glassdoor Jobs Scraper | Global Job Listings	Enriching employer research with public salary and company-review data.

Limits and data quality

• maxJobs is a ceiling, not a guarantee. Public availability, deduplication, and source pagination can return fewer rows.
• Full details require one source request per job. Large runs take longer and may meet temporary source restrictions.
• Temporary source unavailability can leave a partial collection. Confirmed jobs remain available, and the run summary identifies work that could not be completed.
• detailStatus and SUMMARY make partial enrichment visible. Saved rows remain available when a later detail or company request fails.
• Exceptionally large optional descriptions may be omitted to keep the base job record usable. Such rows are marked incomplete rather than presented as fully enriched.
• Naukri search results change over time. The exact IDs and available count can differ between runs.
• Salary, education, application URL, company rating, and industry are optional and remain null when the source does not publish them.
• The Actor does not access saved jobs, applications, recruiter inboxes, personalized recommendations, or any account-only data.
• This is an independent tool and is not affiliated with or endorsed by Naukri or Info Edge.

Frequently asked questions

Can I search more than one keyword or city?

Yes. Add up to 25 entries to searches. Jobs returned by more than one search are delivered once, and the row records the search that first found it.

What happens if I misspell a keyword or location?

The source may recognize familiar spelling variants and city aliases. The Actor does not invent corrections. Searches with no matches return no jobs. If the source substitutes a broader search, those results are skipped; check your keyword and location. Other valid searches can still produce results. Leave the location blank only when you want jobs across India.

How many jobs can one run return?

The global maxJobs cap is 1,000. The source supports up to 100 jobs per page; the Actor pages until the cap or the available results end.

Why are some rows missing descriptions or company ratings?

Full detail and company enrichment are best effort. Check detailStatus; batch_only means the listing was enriched but the full detail request was unavailable. A null company rating means the public company profile did not publish one.

Do I need a Naukri account, cookie, or browser?

No. Only publicly available job information is collected.

Can I run listing-only for speed?

Yes. Set includeDetails to false and optionally includeCompanyDetails to false. You will receive search-level fields such as title, company, location, experience, salary label, and skills without full descriptions.

Responsible use

Use this Actor only for lawful collection and processing of public job information. Follow applicable laws, privacy rules, and Naukri's terms. Do not use the data for spam, harassment, discrimination, or unlawful automated decisions. You are responsible for how the exported data is used and retained.

Support

If a run fails or returns unexpected data, open an issue from the Actor's Issues tab with the run URL, non-sensitive input, and expected behavior. Never include API tokens or other secrets.

Python, JavaScript and cURL examples on GitHub.