{
  "id": 15337335,
  "title": "IIMJobs data for recruiters: salary disclosure, applicant counts and who is hiring, in one spreadsheet",
  "url": "https://urgent.news/2026/10/18/iimjobs-data-for-recruiters-salary-disclosure-applicant-counts-and",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-10-18T02:56:35.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/datadaemon/iimjobs-data-for-recruiters-salary-disclosure-applicant-counts-and-who-is-hiring-in-one-f55"
  },
  "original_language": "en",
  "account": "If you recruit for management, finance, consulting or HR roles in India, IIMJobs is a board you likely already monitor. While checking it manually works for a single job opening, it becomes cumbersome when you need to know how many product manager roles were posted in Mumbai and Bangalore this week, whether competitors are disclosing salary information for talent acquisition leads, and how crowded a particular posting is. Every IIMJobs listing contains valuable data: posting date, experience range, salary (when disclosed), locations, skills, applicant count and view count. Having this information in a spreadsheet format can help recruiters quickly answer these questions without manual browsing.\n\nThis post explains how to obtain such a spreadsheet in just five minutes without writing any code, how to refresh it weekly for updated insights, and highlights five key questions that can be answered using the data. A Python section is also provided for those interested in creating charts from the data.\n\nUsing the IIMJobs Scraper on Apify (which the author developed), you can retrieve the required listings in under a minute. Here's how:\n\n1. Access the IIMJobs Scraper on Apify and input your specific search criteria such as keywords (e.g., talent acquisition, HR business partner), locations (Mumbai, Bangalore, Gurgaon, Remote), experience range, and posting time frame (e.g., last 7 days).\n2. Run the scraper and export the results to Excel, CSV, or JSON format. Alternatively, integrate the results directly into Google Sheets using Apify's Google Sheets integration.\n3. The cost for this service is $0.002 per job, plus an additional $0.002 per job if you include full job descriptions. A weekly snapshot of 500 jobs without descriptions costs around $1.00, fitting within the free monthly credit allowance.\n\nOnce you have the data in a spreadsheet, you can quickly perform analysis:\n- Note that salary disclosure is uncommon - fewer than one in five postings shows a salary band, making those that do stand out.\n- Talent acquisition roles tend to attract many applicants, with a median of 201 per posting, indicating a need for effective screening processes.\n- Investment banking roles are primarily posted in Mumbai, making it a key market to monitor.\n- The data allows you to answer important questions quickly such as hiring volume, competitor activity, salary band trends, applicant volume, and essential skills for each role.\n\nFor those comfortable with Python, the post also provides an optional analysis using pandas to create more advanced visualizations. By setting up a weekly automated task on Apify, you can maintain a historical record of your data, monitoring trends over time without manual effort.",
  "summary": "If you recruit for management, finance, consulting or HR roles in India, IIMJobs is one of the boards you already watch. Watching it by hand works for one requisition. It does not work when someone asks you a market question: \"How many product manager roles opened in Mumbai and Bangalore this week?\" \"Are competitors disclosing salary for talent acquisition leads, and at what band?\" \"How crowded…",
  "key_points": [
    "IIMJobs Scraper on Apify retrieves job listings in under a minute",
    "Salary disclosure uncommon, fewer than one in five postings show salary band",
    "Talent acquisition roles attract median of 201 applicants per posting"
  ],
  "editors_take": "Automating the extraction of IIMJobs data transforms manual browsing into actionable intelligence, allowing recruiters to monitor competitor salary trends and applicant volumes through efficient, low-cost spreadsheet analysis.",
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}