IIMJobs Scraper: MBA, CA, CFA Jobs India with Recruiter Data

Scrape MBA, CA, CFA, and management job listings from IIMJobs.com with recruiter and company data included free. Search by role, city, industry, experience, and diversity flags, and get a structured dataset ready for recruiting research or lead generation.
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Get recruiter and company data on every job, without paying extra for it. Search IIMJobs by role, city, industry, experience, and diversity flags. Every row already includes the recruiter's name, the company's rating, and how many people applied, so you skip the extra detail fetch other scrapers charge you for.

🎯 Recruiter data, no extra cost Recruiter name, company rating, and applicant counts ship on every row, with no deep scrape needed.

🔔 New-job monitoring Schedule it to send only new postings, flagged for reposts, salary reveals, and demand spikes.

🎁 Free lead list A bonus dataset rolls up every hiring company and recruiter your search touches, at no extra charge.

💸 Honest salary reporting We report the real disclosure rate instead of pretending every listing shows a number.

IIMJobs.com is India's board for MBA, CA, CFA, and senior management hiring. This scraper turns matching public listings into a structured dataset, complete with recruiter and company context, for recruiting research, lead generation, and hiring analytics.

💡 Why use the IIMJobs scraper?

• I am on a recruiting-agency team and want to know which recruiters and companies are actively hiring for a role, without paying for a second lookup to get their names.
• I am building a lead list for staffing or B2B sales and want a ready-made directory of hiring companies and recruiters, not just a pile of job titles.
• I am running a scheduled talent-intelligence feed and want only the jobs I haven't seen yet, with a flag when a role suddenly gets more applicants or reveals its salary.
• I am an executive-search researcher mapping active management hiring by industry, city, or experience band, including roles for female candidates, ex-defence personnel, or differently-abled hires.

🚀 How to use it

STEP 1 Define the search Enter one or more job titles, paste specific job links, or leave it blank to browse everything.

STEP 2 Filter and enrich Narrow by city, industry, experience, salary, or diversity flags. Turn on deep scraping for full descriptions.

STEP 3 Use the results Export as CSV or JSON, or schedule it with monitoring mode for a recurring new-jobs feed.

Use the dataset in Google Sheets, Airtable, n8n, Bullhorn, Recruiterflow, or CSV and JSON exports.

⚙️ Input

Field	Type	Required	Description
jobTitle	string	No	A single job role or keyword to search for. Leave empty (with the fields below also empty) to browse all current listings.
jobTitles	array of strings	No	Search several roles in one run. Takes priority over jobTitle.
startUrls	array of URLs	No	Paste specific IIMJobs job links to enrich exactly those listings, without running a search.
location	enum	No	Indian city filter. Leave at its all-India setting to search across locations.
industry	enum	No	Industry filter for the job search. Leave at its all-industries setting to avoid restricting results.
minExperience	integer	No	Minimum years of experience required by matching roles.
maxExperience	integer	No	Maximum years of experience required by matching roles.
minSalary	integer	No	Only keep jobs that disclose salary and meet this minimum. Most listings do not disclose salary at all.
datePosted	enum	No	Only keep jobs posted within a chosen window (last 24 hours, 3, 7, or 30 days).
workFromHomeOnly	boolean	No	Only keep listings marked work from home.
excludeConfidential	boolean	No	Skip listings where the hiring company's identity is withheld.
femaleCandidatePreferredOnly	boolean	No	Only keep listings IIMJobs flags as preferring female candidates.
differentlyAbledFriendlyOnly	boolean	No	Only keep listings IIMJobs flags as differently-abled friendly.
exDefencePreferredOnly	boolean	No	Only keep listings IIMJobs flags as preferring ex-defence personnel.
womenReturningToWorkOnly	boolean	No	Only keep listings IIMJobs flags as friendly to women returning to work.
deepScrape	boolean	No	Fetch each listing's detail page for the full job description text, employer domain, and campus batch targeting. Recruiter name and company rating are already included without this.
maxResults	integer	No	Maximum number of listings to return, across all keywords combined.
onlyNewJobs	boolean	No	Monitoring mode. Only save jobs never delivered before, and flag changes on jobs you've already seen.
resetSeenJobs	boolean	No	Clear the saved monitoring baseline before this run.
stateKey	string	No	Names which saved monitoring baseline to use, useful when running several searches on separate schedules.
proxyConfiguration	object	No	Connection settings for the run.

📊 Output

Representative output

This representative record shows the fields returned for a typical listing. Recruiter, company, view, and applicant fields ship by default, with no deep scraping required. Salary fields appear only on the small share of listings that disclose them, and the full description text requires deep scraping.

{
  "id": 1727623,
  "title": "Mindtickle - Group Product Manager - Behavior Intelligence",
  "jobUrl": "https://www.iimjobs.com/j/mindtickle-group-product-manager-behavior-intelligence-1727623",
  "jobdesignation": "Group Product Manager - Behavior Intelligence",
  "companyId": 758,
  "companyName": "MindTickle",
  "employerDomain": "mindtickle.com",
  "isConfidential": false,
  "companyRating": 2.4,
  "companyReviewsCount": 113,
  "companyAbout": "MindTickle offers a SaaS platform for enterprises to train and engage their sales professionals...",
  "recruiterId": 225617,
  "recruiterName": "Yogita Malviya",
  "recruiterDesignation": "HR",
  "locations": "Bangalore, Pune",
  "experience": "8-15 years",
  "minExperience": 8,
  "maxExperience": 15,
  "salaryDisclosed": false,
  "industryArray": [13, 14, 52],
  "functionalArea": 37,
  "categoryId": 25,
  "tags": ["IT Product Management", "AI Product Management"],
  "views": 1011,
  "applyCount": 349,
  "applicationsPerView": 0.3452,
  "femaleCandidatePreferred": false,
  "differentlyAbledFriendly": false,
  "exDefencePreferred": false,
  "womenReturningToWork": false,
  "isPremium": false,
  "isStarred": false,
  "hasBrandedJd": false,
  "isUrgent": false,
  "workFromHome": false,
  "postedDate": "2026-08-27T03:49:50.489Z",
  "scrapedAt": "2026-09-07T13:53:08.238Z",
  "isNew": true
}

Data table

Field	Type	Description
id	number	IIMJobs listing identifier.
title	string	Listing title.
jobUrl	string	Public link to the job listing.
jobdesignation	string	Role designation supplied by the listing.
companyId	number	IIMJobs company identifier.
companyName	string	Hiring company name.
companyLogo	string	Company logo link.
employerDomain	string	The employer's email domain, useful for company matching and lead lists.
isConfidential	boolean	Whether the hiring company's identity is withheld.
companyRating	number	Public company rating, when available.
companyReviewsCount	number	Public company review count, when available.
companyAbout	string	A short company description, when available.
recruiterId	number	IIMJobs recruiter identifier.
recruiterName	string	Public recruiter name.
recruiterDesignation	string	Public recruiter designation.
locations	string	Comma-separated listing locations.
latitude / longitude	number	Coordinates for the primary listing location, when available.
experience	string	Experience range shown on the listing.
minExperience / maxExperience	number	Experience range in years.
salaryDisclosed	boolean	Whether this listing discloses a salary. Only a small share do.
salary	string	Listed salary range, present only when disclosed.
minSalary / maxSalary	number	Salary bounds, present only when disclosed.
industryArray	array	Industry category identifiers attached to the listing.
functionalArea	number	Functional area identifier.
categoryId	number	Listing category identifier.
tags	array	Skills or category tags attached to the listing.
views	number	View count shown on the listing.
applyCount	number	Application count shown on the listing.
applicationsPerView	number	Applications divided by views, a rough competition signal for the role.
femaleCandidatePreferred	boolean	Whether IIMJobs flags the listing as preferring female candidates.
differentlyAbledFriendly	boolean	Whether IIMJobs flags the listing as differently-abled friendly.
exDefencePreferred	boolean	Whether IIMJobs flags the listing as preferring ex-defence personnel.
womenReturningToWork	boolean	Whether IIMJobs flags the listing as friendly to women returning to work.
isPremium / isStarred / hasBrandedJd	boolean	Whether the employer paid to promote this listing, often a sign of an urgent hire.
isUrgent	boolean	True when the listing is premium or starred.
workFromHome	boolean	Whether the listing is marked work from home.
postedDate	string	Listing publication timestamp.
scrapedAt	string	Timestamp when the actor saved the record.
jobDescription	string	Full job description as HTML. Requires deep scraping.
jobDescriptionText	string	Full job description as plain text. Requires deep scraping.
address	string	Office address, when available. Requires deep scraping.
isActive / hasExpired / isPermanentlyRemoved	boolean	Listing status flags. Require deep scraping.
applicationCount	number	Detail-page applicant count. Requires deep scraping.
companyDomain / careerCompanyName	string	Additional employer identity fields. Require deep scraping.
openRolesAtCompany	number	How many other roles this employer has open. Requires deep scraping.
minBatch / maxBatch	number	Graduation batch targeting for campus hiring, when set. Require deep scraping.
isNew	boolean	True when this job has never been delivered before, in monitoring mode.
changeEvents	array	Flags on a previously seen job: new, reposted, salary_revealed, or demand_spike.

Every run also writes a RUN_SUMMARY entry to the key-value store, reporting how many jobs are actually available on IIMJobs for your search versus how many were scraped, and a SALARY_BENCHMARK entry with the salary disclosure rate for your search. When platform permissions allow, the run also writes two bonus, non-billed datasets: companies-intel (every hiring company seen, with role count, rating, and recruiter contacts) and recruiters-intel (every recruiter seen, with the companies and roles they're hiring for). Check RUN_SUMMARY.intelligenceLayerAvailable to confirm these were written on a given run.

💰 Pricing

Usage-based pricing is shown in Apify before you run. You pay per job result, empty runs cost nothing, and there are no subscriptions.

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❓ FAQ

Do I need an IIMJobs account?

No. The actor uses public IIMJobs listings and does not require a login.

Why is salary missing on most listings?

Only a small share of IIMJobs listings disclose salary at all, typically in the single digits as a percentage. Rather than guess or fake a number, the actor sets salaryDisclosed to false and leaves the salary fields off the row entirely. Check the SALARY_BENCHMARK key-value entry on each run for the exact disclosure rate on your search.

What's the free company and recruiter dataset, and can I always expect it?

Every run tries to write two bonus datasets rolling up the companies and recruiters it saw, plus a salary benchmark, at no extra charge on top of your per-job pricing. Writing these depends on the permissions of the run itself, so they are best-effort. Check RUN_SUMMARY.intelligenceLayerAvailable in the key-value store to confirm they were written on a given run; your primary job dataset is never affected either way.

How does monitoring mode work?

Turn on onlyNewJobs and set a stateKey to name your saved search. The first run establishes a baseline of every job seen. Later scheduled runs only save jobs that weren't in that baseline, and flag changeEvents on jobs you've already seen, such as a role that suddenly gets far more applicants or reveals its salary for the first time. Use resetSeenJobs to start a fresh baseline.

Can I use this for hiring analytics or lead generation?

Yes. Filter by role, city, industry, experience, or diversity flags to build a focused dataset, or use the free company and recruiter rollups as a starting lead list for outreach.

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