India Jobs Scraper — Listings, Salaries & Skills 🇮🇳

Live India job listings with salary bands, required experience, skill tags, company, location, and a direct apply URL — search by role and city, or run it on a schedule to catch new postings as they appear. Clean JSON out, no login, built for recruiters, job boards, market-comp analysts, and AI agents. Data sourced from Foundit (Monster India).

📊 Sample Output

job_id	title	company_name	location	employment_types	freshness
68630328	HCL BigFix Product _Sr. Python Developer _Bangalore & Noida	Hcl Comnet	Bengaluru, India	['Full time']	1790272419000
68635480	Python Developer ( AWS )	Arctic Wolf	Bengaluru, India	['Full time']	1790274675000
68246086	Senior Python Developer+AWS	Tekishub Consulting Services Private Limited	Bengaluru, Hyderabad, Pune	['Full time']	1790061703000
67911151	Python Developer	Infosys Limited	Bengaluru, India	['Full time']	1789842713000
67910253	DE-RCE-Agentic AI Python Developer	EY	Bengaluru, India	['Full time']	1789756365000
67087950	Python Developer	Tata Consultancy Services	Bengaluru, India	['Full time']	1789409518000

Real rows from run G45SOBNloEXE5Qk5x on build 0.0.10 (2026-09-25), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

Field	Type	Default	What it does
keyword	string	"python developer"	Role or keyword to search (e.g. 'python developer', 'data analyst', 'sales manager').
location	string	"bangalore"	City or region in India (e.g. 'bangalore', 'mumbai', 'remote'). Leave empty for all-India.
minExperienceYears	integer		Drop listings whose max experience is below this many years.
maxResults	integer	25	Maximum job listings to return (1-500).
watchMode	boolean	false	First run seeds a baseline and emits nothing; later runs emit only NEW postings since the last run (keyed on Foundit job id). Ideal on a schedule.
watchLabel	string	"default"	Names the watch baseline so multiple saved tasks keep independent state.

🧾 JSON sample record

One real record from run G45SOBNloEXE5Qk5x (emails/phones masked, long text shortened):

{
  "job_id": "68630328",
  "title": "HCL BigFix Product _Sr. Python Developer _Bangalore & Noida",
  "company_name": "Hcl Comnet",
  "location": "Bengaluru, India",
  "min_experience_years": 5,
  "max_experience_years": 7,
  "min_salary": null,
  "max_salary": null,
  "currency": "INR",
  "employment_types": [
    "Full time"
  ],
  "functions": [
    "Software Development"
  ],
  "industries": [
    "Other"
  ],
  "skills": [
    "Middleware components",
    "requests module",
    "Scrapy",
    "SQL Server",
    "Jenkins",
    "Django",
    "Devops",
    "DB2",
    "…"
  ],
  "is_urgently_hiring": false,
  "freshness": 1790272419000,
  "posted_at": "2026-09-24T17:53:39Z",
  "job_url": "https://www.foundit.in/job/hcl-bigfix-product-sr-python-developer-bangalore-noida-hcl-comnet-bengaluru-bangalore-india-68630328",
  "source": "Foundit (Monster India)",
  "scraped_at": "2026-09-25T03:24:57Z"
}

🔗 Related Actors

More from the NexGenData Jobs & hiring signals family:

• ATS Job Aggregator — Every Major ATS, One Schema API
• Company Job Board Scraper — Careers Page Jobs API
• Greenhouse Jobs Scraper — Hiring Data API
• H-1B Visa Salary Search — Employer & Wage Data API
• Hiring Signals to Notion — Hiring Intent Feed API

2 more in this family on the NexGenData Store page.

📊 What you get

One record per job listing:

• title, company_name, location
• min_experience_years, max_experience_years
• min_salary, max_salary, currency (when the employer discloses them)
• skills (array), functions, industries, employment_types
• is_urgently_hiring, freshness, posted_at
• job_url (direct apply link), source, job_id, scraped_at

~20 listings per $1. A typical 25-result search costs about $1.25.

💵 Pricing

Pay-per-result, no subscription:

Event	Price
Actor start	$0.005 (per GB RAM, min 1)
Job listing	$0.05 each
Watch-check (per scheduled watch run)	$0.05

Worked example: a search returning 25 listings = 1 start ($0.005) + 25 × $0.05 = ≈ $1.26. A daily watch run that finds 4 new postings = $0.05 watch-check + 4 × $0.05 = $0.25.

⏰ Watch mode — new-posting alerts

Turn on watchMode and schedule it. The first run seeds a baseline and emits nothing; every later run emits only new postings since the last run (keyed on the stable Foundit job id). Feed it into Slack, a sheet, or an agent for a standing "new roles for my search" pipeline.

{ "keyword": "data engineer", "location": "pune", "watchMode": true, "watchLabel": "de-pune" }

🤖 Use with AI agents

Returns clean JSON an agent can call directly. Example: "Find remote senior Python roles in India posted this week and summarize the salary ranges." Works with MCP tool-calling and agentic (x402) payment flows — no API key required.

API

curl -X POST "https://api.apify.com/v2/acts/foundit-jobs-scraper/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keyword":"data analyst","location":"mumbai","maxResults":50}'

CLI

$apify call foundit-jobs-scraper --input '{"keyword":"devops","location":"bangalore","maxResults":100}'

🔗 Related NexGenData actors

• linkedin-jobs-scraper — the same job-listing schema for LinkedIn (global sibling).
• nse-bse-announcements — India-listed company filings & announcements.
• mca-company-registry — India company master data (CIN, capital, status).
• india-startup-funding-tracker — India startup funding rounds.
• india-trademark-search — Indian trademark records.
• gem-tenders-india — Indian government tenders.

❓ FAQ

Where does the data come from? Foundit's (Monster India) public job-search service. Buyers search "India jobs"; Foundit is the underlying source.

How fresh is it? Real-time — new postings appear as Foundit publishes them; each row carries posted_at and freshness.

Does a blocked source bill me? No. If Foundit is unreachable the run fails loud and charges nothing — you never pay for an empty "success".

Can I filter by experience? Yes — set minExperienceYears to drop junior roles, and keyword + location to scope the search.

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Data sourced from public Foundit (Monster India) job listings. This actor is not affiliated with or endorsed by Foundit or Monster. For informational and recruitment-research use.