Foundit Jobs Scraper — Monster India Job Listings API

Disclaimer: Unofficial tool for publicly accessible Foundit job listings. Foundit, foundit.in, Monster India, and related names are trademarks of their respective owners. Not affiliated with, sponsored by, or endorsed by Foundit / Monster.com India. For informational, research, aggregation, and recruiting-intelligence use only. Respect applicable terms of use and law.

Scrape Foundit job listings from India’s broad-market board (rebranded from Monster India) — a practical foundit.in scraper, Foundit API alternative, and Monster India jobs scraper for structured data. Search by keyword, city, filters, or paste listing start URLs. Export title, employer, location, salary (INR and LPA), experience, skills, applicants, posted dates, and apply URLs via fast HTTP — no headless browser and no login. Use from Python, Node.js, cURL, or Apify MCP / AI assistants.

Ideal for India job board aggregation, salary benchmarking (when CTC is disclosed), recruiting intelligence, employer lead generation, and tech / sales hiring research across Bangalore, Mumbai, Hyderabad, Pune, Delhi NCR, and remote roles.

Actor	Focus
Foundit Jobs Scraper ◄── you are here	Foundit.in / Monster India job listings
Naukri Jobs Scraper	India’s largest job board (Naukri.com)
Glassdoor Scraper	Employer reviews, salaries, and jobs
Stepstone Jobs Scraper	DACH commercial job board
Arbeitsagentur Jobs Scraper	Germany BA Jobsuche

When to use this Actor

• You need a Foundit scraper / foundit.in scraper / Monster India scraper that returns structured JSON
• You want keyword + city + Foundit filters without maintaining your own crawler
• You need salary, skills, experience, applicant counts, and apply URLs as first-class fields
• You want to scrape Foundit with Python, Node.js, or MCP and export a dataset
• You run a daily monitor and only want new job IDs billed

When not to use this Actor

• Non-Indian job portals — this Actor covers Foundit.in only
• Guaranteed emails or phones — public listing cards rarely include direct contacts
• Login-walled apply-form automation — public search data only
• Historical archives — currently listed jobs only
• Naukri.com coverage — use Naukri Jobs Scraper for that board

Key Features

• Keyword + city search — position, location, optional extra searchKeywords and locations (pooled and deduplicated)
• Start URL parsing — paste Foundit SRP, SEO search, or company-career URLs; query filters map automatically
• Foundit filters — experience band, freshness (1/3/7/15/30 days), CTC in lakhs, full-time / part-time
• Structured salary — INR min/max plus LPA when Foundit discloses CTC (most listings stay confidential)
• Skills, industries, functions, recruiter — plus applicant counts and urgent-hiring flags
• HTTP JSON path — Chrome TLS impersonation + same-origin Referer; 256–512 MB, no Playwright
• Datacenter-friendly — search API does not require residential proxy in testing (optional if you scale)
• Monitor mode — named Key-Value store of seen job IDs; later scheduled runs emit only new jobs
• Deduplicated job IDs across pages, keywords, and multi-city runs
• MCP / AI ready — call from assistants via Apify MCP

Use Cases

Use case	What you get
Job aggregation	Fresh Foundit / Monster India openings into a board / search index
Salary benchmarking	Disclosed CTC bands in INR and lakhs for a role × city
Recruiting intelligence	Competitor vacancy monitoring, applicant counts, urgent flags
Employer lead gen	Companies (and consultants) actively hiring in a segment
Skills demand	Required skills arrays for Python, Java, sales, and more
Daily “what’s new”	monitorMode on a schedule — pay only for new job IDs

Quick Start

Keyword + city:

{
  "position": "Python developer",
  "location": "Bangalore",
  "maxItems": 50,
  "postedWithinDays": "7",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Listing start URL (filters in the query string are applied):

{
  "startUrls": [
    { "url": "https://www.foundit.in/srp/results?query=python-developer&locations=Bangalore&jobFreshness=7" }
  ],
  "maxItems": 100
}

Multi-city + experience band + monitor:

{
  "position": "data analyst",
  "location": "Bangalore",
  "locations": ["Hyderabad", "Pune"],
  "experienceMinYears": 2,
  "experienceMaxYears": 6,
  "maxItems": 150,
  "monitorMode": true,
  "monitorStoreName": "foundit-data-analyst-south"
}

Input Parameters

Parameter	Type	Default	Description
position	String	—	Keywords / job title
searchKeywords	Array	—	Extra keyword queries (merged, deduped)
location	String	—	City / region (comma-separated split into searches)
locations	Array	—	Extra cities (one Foundit search each)
startUrls	Array	—	Foundit listing or company-career URLs
experienceMinYears / experienceMaxYears	Integer	—	Experience band in years (2~6 on Foundit)
salaryMinLakhs / salaryMaxLakhs	Integer	—	CTC band in ₹ lakhs (disclosed listings only)
employmentType	String	any	Full Time or Part Time
postedWithinDays	String	any	1 / 3 / 7 / 15 / 30
includeJobDescription	Boolean	false	Fetch detail JSON-LD (extra request per job)
maxItems	Integer	100	Max jobs (0 = unlimited subject to maxPages)
maxPages	Integer	20	Pagination safety cap (max 100)
monitorMode	Boolean	false	Emit only new job IDs vs previous run
monitorStoreName	String	foundit-jobs-monitor	Named KV store for seen IDs
resetMonitorState	Boolean	false	Wipe the seen-job cache
proxyConfiguration	Object	off	Optional; IN residential if you hit blocks

Output Format

Each dataset item is one job listing.

Field	Type	Description
jobId	String	Foundit job id
url	String	Foundit job detail URL
applyUrl	String	Apply / redirect URL (often the employer ATS or LinkedIn)
title	String	Job title
employer	String	Company name
employerId	String	Company id
employerUrl	String	Foundit company career URL
recruiterName	String	Recruiter label when published
location	String	Location text
workMode	String	hybrid / remote / office when detected
experienceText	String	e.g. 4-7 Years
experienceMin / experienceMax	Integer	Years
salaryNote	String	Disclosed band text (null if hidden)
salaryMin / salaryMax	Integer	INR annual when disclosed
salaryLakhsMin / salaryLakhsMax	Number	LPA
salaryConfidential	Boolean	True when CTC is hidden or zero
skills	Array	Skill labels
employmentTypes	Array	e.g. Full time
industries / functions / roles	Array	Foundit facets
totalApplicants	Integer	Applicant count Foundit reports
isUrgentlyHiring	Boolean	Urgent-hiring flag
postedAt	String	ISO timestamp
postedAtRelative	String	e.g. 18 hours ago
jobSource / jobClassification	String	Native vs syndicated listing
description	String	Full text only when includeJobDescription succeeds
source	String	Always foundit

Example row:

{
  "jobId": "61600533",
  "url": "https://www.foundit.in/job/python-developer-artech-infosystems-private-limited-bengaluru-bangalore-61600533",
  "title": "python developer",
  "employer": "Artech Infosystems Private Limited",
  "location": "Bengaluru",
  "workMode": null,
  "experienceText": "5-15 Years",
  "experienceMin": 5,
  "experienceMax": 15,
  "salaryNote": "1,00,000-20,00,000 INR",
  "salaryMin": 100000,
  "salaryMax": 2000000,
  "salaryLakhsMin": 1.0,
  "salaryLakhsMax": 20.0,
  "salaryCurrency": "INR",
  "salaryConfidential": false,
  "skills": ["python", "sql"],
  "totalApplicants": 46,
  "source": "foundit"
}

Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/foundit-jobs-scraper').call({
  position: 'Python developer',
  location: 'Bangalore',
  maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.slice(0, 5));

Python

from apify_client import ApifyClient

client = ApifyClient(token)
run = client.actor("crawloop/foundit-jobs-scraper").call(
    run_input={
        "position": "Python developer",
        "location": "Bangalore",
        "maxItems": 50,
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("employer"), item.get("url"))

cURL

curl "https://api.apify.com/v2/acts/crawloop~foundit-jobs-scraper/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"position":"Python developer","location":"Bangalore","maxItems":50}'

MCP and AI assistants

Use this Actor from AI tools via Apify MCP. Connect your Apify account, then call crawloop/foundit-jobs-scraper.

Example prompts:

• "Run Foundit Jobs Scraper for Python developer in Bangalore, max 50, and return title, employer, salaryNote, url as JSON"
• "Scrape Foundit data analyst jobs in Hyderabad posted in the last 7 days and list top hiring employers"
• "Pull Foundit sales manager openings in Mumbai and Pune, then run Naukri Jobs Scraper for the same role to compare salary bands"
• "Monitor Foundit Python developer jobs in Bangalore daily and return only new job IDs"

Suite next step

Foundit is the broad Monster India board. For the same Indian role on Naukri.com (often richer CTC + AmbitionBox ratings), run Naukri Jobs Scraper next. For employer reviews and interview intel, continue with Glassdoor Scraper.

FAQ

Is this an official Foundit API?
No. It calls the same public search JSON the website uses (/middleware/jobsearch) and returns structured dataset rows — a practical Foundit API alternative for pipelines.

Can I paste a Foundit search URL?
Yes — startUrls accepts SRP links, SEO search paths, and company-career pages. Query filters such as freshness and experience map automatically.

Do I need a Foundit login?
No — public listing cards only.

Does it need a residential proxy like Naukri?
Usually not. Foundit’s search endpoint is unauthenticated and worked over datacenter connections in testing. A proxyConfiguration input is still available if you scale up and start seeing blocks.

Why is salary null on most jobs?
Foundit lets employers mark CTC confidential, and many listings do. salaryConfidential: true flags those rows. Numeric INR / LPA fields appear only when the employer published a band.

How do I get the full job description?
Set includeJobDescription: true. This fetches each job page and reads schema.org JobPosting JSON-LD. Some detail pages return 403 from datacenter IPs — listing fields still come from search.

What is monitor mode?
With monitorMode: true, seen job IDs are stored in a named Key-Value store. The first run is the baseline (all matches are new). Later scheduled runs push and charge only IDs not seen before.

Python / Node.js / MCP?
Yes — use the Apify client examples above or Apify MCP prompts.

How many jobs per search?
Foundit paginates 20 jobs per page. Use extra locations / searchKeywords or start URLs to cover more.

Related Actors

Actor	Focus
Foundit Jobs Scraper ◄── you are here	Foundit.in / Monster India job listings
Naukri Jobs Scraper	Naukri.com India jobs
Glassdoor Scraper	Reviews, salaries, interviews, jobs
Stepstone Jobs Scraper	DACH job listings
Arbeitsagentur Jobs Scraper	Germany BA Jobsuche