IIMJobs Scraper: how to get India Finance and MBA Jobs as JSON or CSV (Python, API, no code)

Scrape India finance, sales, consulting, HR and operations jobs from iimjobs.com: company, locations, experience in years, salary in lakhs when shown, skills, category, posting time, the employer's AmbitionBox rating and profile, and the description.

This tutorial shows what the Actor v0iddo/iimjobs-scraper returns, how to run it on the Apify Store without code, and how to call it from Python and cURL.

What data you get

One row per result. Every row can be downloaded as JSON, CSV, Excel or HTML, or read through the API.

Real rows from a run of the Actor (fields that name people are left out):

[ { "jobId": 1741422, "site": "iimjobs.com", "title": "Manager - Finance Digitalization", "postingTitle": "Puma Energy - Manager - Finance Digitalization/Finance Transformation", "company": "Puma Energy", "companyLogo": "https://recruiter-static-content.s3.ap-south-1.amazonaws.com/CompanyLogos/centralised-21934.webp", "companyRating": 2.8, "companyReviews": 164, "companyFounded": 1997, "companyEmployeesIndia": "201-500", "companyType": "Foreign MNC", "companyIndustry": "Power", "companyHeadquarters": "Geneva, Switzerland", "companyAbout": "Puma Energy is a leading global energy business. Our downstream business includes fuels, aviation, lubricants and bitumen, with a strong...", "companyReviewsUrl": "https://www.ambitionbox.com/reviews/puma-energy-reviews", "locations": [ "Mumbai", "Thane", "Maharashtra" ], "location": "Mumbai", "remote": false, "experienceMin": 6, "experienceMax": 11, "salaryHidden": true, "skills": [ "Accounting", "Finance and Accounts", "Financial Analysis" ], "mandatorySkills": [ "Financial Analysis", "Record To Report", "Order To Cash" ], "category": "Banking & Finance", "premium": true, "postedAt": "2026-10-23T07:03:29Z", "descriptionText": "Job Description:\n\nLocation: Vikhroli\n\nWorking days and Time: 5-day WFO (post probation 1-day WFH)\n\nTime: 11:30 AM to 8:30 PM (Transportat...", "url": "https://www.iimjobs.com/j/puma-energy-manager-finance-digitalizationfinance-transformation-1741422", "scrapedAt": "2026-10-25T10:49:01Z" } ] 

No code: run it on the Apify Store

1. Open the IIMJobs Scraper page on Apify.
2. Fill in the input form. An example input is already filled in.
3. Press Start, wait for the run to finish, and download the results as JSON, CSV or Excel from the Output tab.

The input that is pre-filled on the Actor page:

{ "keywords": [ "finance manager" ], "locations": [ "Mumbai" ], "includeDetails": true, "maxItems": 20 } 

Python (apify-client)

Get your API token in Apify Console under Settings, then Integrations. The Actor id is v0iddo/iimjobs-scraper.

from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_TOKEN") run_input = {'keywords': ['finance manager'], 'locations': ['Mumbai'], 'includeDetails': True, 'maxItems': 20} run = client.actor("v0iddo/iimjobs-scraper").call(run_input=run_input) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) 

cURL

curl -X POST "https://api.apify.com/v2/acts/v0iddo~iimjobs-scraper/run-sync-get-dataset-items" \ -H "Authorization: Bearer YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"keywords": ["finance manager"], "locations": ["Mumbai"], "includeDetails": true, "maxItems": 20}' 

Good to know

• One search runs per search term; postings are unique by ID across the whole run. Without search terms, a category lists every open posting of that category on iimjobs.com.
• A search shows at most 100 pages of 50 postings. For a broad search, add locations or an experience range.
• salaryMinLakhs and salaryMaxLakhs are the yearly salary in lakhs of rupees (1 lakh = 100,000 INR), only when the employer shows it; salaryHidden is true otherwise. Most employers hide it.
• experienceMin and experienceMax are the years of experience the posting asks for. The experience filter keeps postings whose band overlaps your range.

Price

$0.50 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.35 per 1,000.

FAQ

What data does the IIMJobs Scraper return?

Each result is one row in an Apify dataset. Fields include title, company, location, experienceMin, experienceMax, salaryMinLakhs, salaryMaxLakhs, skills, and more. The table above shows every field with an example value.

Can I use it without writing code?

Yes. Open the Actor page on Apify, fill in the input form (an example is already filled in), press Start, and download the results as JSON, CSV, Excel or HTML. You can also schedule runs there.

How much does it cost?

$0.50 per 1,000 results. You pay per result row. There is no separate charge per run. Higher Apify plans pay less per result, down to $0.35 per 1,000. A new Apify account gets $5 of platform credit every month.

Links

• Actor on the Apify Store: IIMJobs Scraper
• Full guide with every field and the JavaScript example: https://voidd0.github.io/iimjobs-scraper/