Foundit (Monster) India Jobs Scraper

hipersoft/foundit-scraper

Scrape job listings from Foundit (formerly Monster) across India and the Gulf. Search any keyword and location and export one clean row per posting: job title, company, location, experience, salary, skills and the job URL as JSON, CSV or Excel.

Run this scraper →See the API call

Total users

Monthly users

Total runs

Per job scraped

$0.003

Last rebuilt

Oct 26, 2026

Overview

Scrape job listings from Foundit (foundit.in, formerly Monster India), a leading job board across India and the Gulf, into clean, structured JSON, CSV or Excel. Search any keyword and location — or paste a Foundit search URL — and pull every matching posting across technology, sales, finance, healthcare, operations and more, one tidy row per job: job title, company, location, experience, salary, skills and the job URL. Built for recruitment research, talent-market analysis, job aggregation and hiring automations.

Features

🧑‍💼 Every role and industry — engineering, sales, finance, marketing, operations, healthcare and more, all from one Actor.
🔎 Keyword search — run one or many keywords at once (e.g. developer, data scientist, sales manager); each keyword runs its own search.
📍 Location filter — narrow to one or more cities such as Bengaluru, Mumbai or Dubai, or leave empty for everywhere.
🔗 Paste-a-URL — drop in a Foundit search link and the Actor reuses its keyword and location.
💰 Experience & salary — the required experience range and advertised salary come with every posting when available.
🧠 Skills — the listed skills for each role as a clean array.
🔗 Direct job URL — a ready-to-open link to each posting on Foundit.
📄 Volume control — set maxItems to balance coverage and cost.

Input

{
  "queries": ["developer", "data scientist"],
  "locations": ["Bengaluru"],
  "maxItems": 100
}

Field	Description
`queries`	One or more keywords to search (each runs its own search).
`locations`	Optional. One or more locations to restrict every search to. Leave empty for all locations.
`startUrls`	Optional. Foundit search page URLs. Any keyword/location in the URL is used, in addition to `queries`.
`maxItems`	Maximum jobs to collect (0 = no limit).
`maxConcurrency`	How many requests to run in parallel. Leave at the default unless you have a reason to change it.
`proxyConfiguration`	Proxy settings. Not required by default.

How to search

Enter one or more queries and run to collect matching jobs. Add locations to focus on specific cities, or leave it empty to search everywhere. Paste startUrls straight from your browser to reuse a search you built on the site. Set maxItems to control how much you collect.

Use cases

Track hiring demand and in-demand skills across India and the Gulf over time.
Build and refresh a jobs dataset for talent-market and salary analysis.
Monitor new postings for specific roles, skills, companies or locations.
Aggregate jobs into your own job board or newsletter.
Feed structured job records into a CRM, spreadsheet or analytics pipeline.

What you get

Each job is one dataset record:

{
  "jobId": 65621986,
  "title": "Scala Developer",
  "company": "Infosys Limited",
  "location": "Bengaluru, India",
  "experience": "5-7 Years",
  "salary": null,
  "skills": ["Scala", "Kafka", "Docker", "Python", "Akka"],
  "employmentType": "Full time",
  "industry": "Other",
  "postedDate": "2026-08-05T12:00:00.000Z",
  "url": "https://www.foundit.in/job/scala-developer-infosys-limited-bengaluru-bangalore-india-65621986",
  "applyUrl": "https://career.infosys.com/jobdesc?jobReferenceCode=INFSYS-EXTERNAL-252070",
  "sourceQuery": "developer"
}

Field	Description
`jobId`	Unique Foundit job ID.
`title`	Job title / role.
`company`	Hiring company name (empty when the employer is confidential).
`location`	City / location for the role.
`experience`	Required experience range.
`salary`	Advertised salary (empty when not disclosed).
`skills`	Listed skills as an array.
`employmentType`	Full time, part time, contract, etc.
`industry`	The role's industry.
`postedDate`	When the job was posted (ISO 8601).
`url`	Direct link to the job posting on Foundit.
`applyUrl`	The employer's apply link when provided.
`sourceQuery`	The keyword that returned this job.

Export & integrate

Download results as JSON, CSV or Excel, or pull them from the Apify dataset API. Schedule the Actor to keep a fresh feed of India and Gulf jobs, or wire it into Make, Zapier and n8n for automated pipelines.

FAQ

Which jobs are covered? Public job postings listed on Foundit across India and the Gulf.

Can I get only certain roles or cities? Yes — add keywords in queries and cities in locations to focus the results.

In what formats can I export? JSON, CSV and Excel, plus the Apify dataset API.

Is a proxy required? No. If you notice reduced results, enable Apify Residential proxy in the input.

Does it collect personal or recruiter contact data? No. The Actor only extracts public job-listing information (role, company, location, experience, salary, skills, link).

Input

Field	Type	Description
`queries` Search keywords	array	One or more job keywords to search on Foundit — for example 'developer', 'data scientist' or 'sales manager'. Each keyword runs its own search and the results are combined. Leave Start URLs empty to use this.
`locations` Location (optional)	array	Optional. Restrict every keyword search to one or more locations — for example 'Bengaluru', 'Mumbai' or 'Dubai'. Leave empty to search across all locations.
`startUrls` Start URLs	array	Optional. One or more Foundit search page URLs to scrape. Paste the URL straight from your browser (e.g. https://www.foundit.in/search/developer-jobs). When set, these are scraped in addition to any keywords.
`maxItems` Max items	integer	Maximum number of jobs to collect across all searches (0 = no limit; collect everything the searches return). Default: `100`
`maxConcurrency` Max concurrency	integer	How many requests to run in parallel. Leave at the default unless you have a reason to change it. Default: `5`
`proxyConfiguration` Proxy configuration	object	Proxy settings. Not required by default. If you experience reduced results, enable Apify Residential proxy for the most reliable access. Default: `{"useApifyProxy": false}`

API

curl -X POST "https://api.apify.com/v2/acts/hipersoft~foundit-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "queries": [
    "developer"
  ]
}'

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("hipersoft/foundit-scraper").call(run_input={
    "queries": [
        "developer"
    ]
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('hipersoft/foundit-scraper').call({
  "queries": [
    "developer"
  ]
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Pricing

Event	Price	Paid plans from
Job scraped Charged for each job listing scraped from Foundit.	$0.003	$0.0015

You pay only for what the run returns. Set a maximum cost per run and it stops cleanly at that limit.

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