Internshala Scraper — Internships & Fresher Jobs

Disclaimer: Unofficial tool for publicly accessible Internshala listings. Internshala and internshala.com are trademarks of their respective owners. Not affiliated with, sponsored by, or endorsed by Scholiverse Educare Pvt. Ltd. For informational, research, aggregation, and recruiting-intelligence use only. Respect applicable terms of use and law.

Internshala scraper for India’s campus and early-career board — a practical Internshala API alternative, Internshala internship scraper, and fresher jobs scraper. Search by keyword, city, category, work-from-home, stipend / salary, or paste search start URLs. Export title, company, location, stipend or CTC (INR), duration, skills, job-offer (PPO) flags, posted dates, and apply URLs as JSON, CSV, or Excel via fast HTTP — no headless browser and no login. Scrape Internshala with Python, Node.js, cURL, or Apify MCP / AI assistants.

Ideal for campus hiring feeds, stipend benchmarking, fresher-job aggregation, PPO / pre-placement tracking, and India early-career recruiting intelligence across Bangalore, Mumbai, Delhi, Hyderabad, Pune, Chennai, and remote roles.

Actor	Focus
Internshala Scraper ◄── you are here	Internshala internships & fresher jobs
Naukri Jobs Scraper	India’s largest job board (Naukri.com)
Foundit Jobs Scraper	Foundit.in / Monster India job listings
Glassdoor Scraper	Employer reviews, salaries, and jobs

When to use this Actor

• You need an Internshala scraper / Internshala internship scraper / Internshala API alternative that returns structured JSON
• You want internships, jobs, and fresher jobs from one Actor
• You need parsed INR stipend / salary, skills, duration, and PPO / work-from-home flags
• You want to scrape Internshala with Python, Node.js, or MCP and export a dataset
• You run a daily monitor and only want new listing IDs billed

When not to use this Actor

• Experienced / mid-career India jobs — use Naukri Jobs Scraper or Foundit Jobs Scraper
• Guaranteed emails or phones — public listing cards rarely include direct contacts
• Login-walled apply-form automation — public search data only
• Historical archives — currently listed internships and jobs only

Key Features

• Three Internshala boards — internships, jobs, fresher jobs, or internships + jobs in one run
• Keyword + city + category — Internshala’s own SEO URL grammar (python-internship-in-bangalore), plus extra keyword/city fan-out
• Start URL parsing — paste search pages or a single detail URL; WFH, stipend, duration, and PPO path filters map automatically
• Server-side filters — work-from-home, part-time, min stipend, min salary, max duration, PPO / job offer, fast response, internships for women
• Structured compensation — Indian numbering (₹ 5,00,000), /month vs /year vs lump sum, unpaid flag, LPA for jobs and PPO amounts
• Optional detail enrichment — apply-by, start date, perks, openings, who-can-apply, about-company, full description
• HTTP AJAX path — same JSON endpoint Internshala’s search UI uses (/internships_ajax/, /jobs_ajax/, /fresher-jobs_ajax/); 256–512 MB, no Playwright
• Datacenter-friendly — no residential proxy required in testing (optional if you scale)
• Monitor mode — named Key-Value store of seen listing IDs; later scheduled runs emit only new listings
• Deduplicated listing IDs across pages, keywords, cities, and boards
• MCP / AI ready — call from assistants via Apify MCP

Use Cases

Use case	What you get
Campus / internship feeds	Fresh Internshala internships into a board, newsletter, or student portal
Stipend benchmarking	Parsed INR min/max by role × city × duration
Fresher hiring intel	Entry-level jobs with CTC in INR and LPA when disclosed
PPO pipelines	Internships with a guaranteed job offer (pre-placement)
Skills demand	Required-skill arrays for Python, marketing, content, finance, and more
Daily “what’s new”	monitorMode on a schedule — pay only for new listing IDs

Quick Start

Keyword + city internships:

{
  "position": "python",
  "location": "Bangalore",
  "listingType": "internships",
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Work-from-home internships with a stipend floor + details:

{
  "position": "digital marketing",
  "listingType": "internships",
  "workFromHome": true,
  "minStipend": 8000,
  "includeDetails": true,
  "maxItems": 100
}

Fresher jobs in a city:

{
  "listingType": "fresher_jobs",
  "location": "Bangalore",
  "minSalary": 500000,
  "maxItems": 80
}

Paste an Internshala search URL:

{
  "startUrls": [
    { "url": "https://internshala.com/internships/python-internship-in-bangalore/" }
  ],
  "maxItems": 100
}

Monitor only new listings:

{
  "position": "content writing",
  "workFromHome": true,
  "maxItems": 200,
  "monitorMode": true,
  "monitorStoreName": "internshala-content-wfh"
}

Input Parameters

Parameter	Type	Default	Description
listingType	String	internships	internships / jobs / fresher_jobs / internships_and_jobs
position	String	—	Keyword / role (e.g. python, digital marketing)
searchKeywords	Array	—	Extra keyword queries (merged, deduped)
category	String	—	Internshala profile slug when keyword is empty
location	String	—	City (comma-separated split into searches)
locations	Array	—	Extra cities
startUrls	Array	—	Internshala search or detail URLs
workFromHome	Boolean	false	Remote / WFH only
partTime	Boolean	false	Part-time only
minStipend	Integer	—	Internship stipend floor, INR / month
minSalary	Integer	—	Job salary floor, INR / year
durationMaxMonths	Integer	—	Internship duration cap
withJobOffer	Boolean	false	PPO / internship-with-job-offer
fastResponse	Boolean	false	Fast-response employers
forWomen	Boolean	false	Internshala internships-for-women board
includeDetails	Boolean	false	Fetch detail pages (extra request per listing)
maxItems	Integer	100	Max listings (0 = unlimited subject to maxPages)
maxPages	Integer	20	Pagination safety cap (max 100)
monitorMode	Boolean	false	Emit only new listing IDs vs previous run
monitorStoreName	String	internshala-monitor	Named KV store for seen IDs
resetMonitorState	Boolean	false	Wipe the seen-listing cache
proxyConfiguration	Object	off	Optional; IN residential if you hit blocks

Output Format

Each dataset item is one Internshala listing.

Field	Type	Description
listingId	String	Internshala listing id
listingType	String	internship / job / fresher_job
url	String	Listing detail / apply URL
title	String	Role title
employer	String	Company name
employerLogoUrl	String	Logo URL when Internshala hosts one
location	String	City text, or Work from home
workMode	String	remote / hybrid / office when detected
isWorkFromHome	Boolean	Remote flag
isPartTime	Boolean	Part-time badge
isActivelyHiring	Boolean	Actively hiring badge
hasJobOffer	Boolean	PPO / job offer after internship
jobOfferText / jobOfferLpa	String / Number	Raw PPO label and parsed LPA
compensationText	String	Raw stipend or salary string
compensationMinInr / compensationMaxInr	Integer	Parsed INR
compensationUnit	String	month / year / lump_sum / unpaid / performance
isUnpaid	Boolean	Explicit unpaid internships
salaryLakhsMin / salaryLakhsMax	Number	LPA when unit is year
durationText / durationMonths	String / Integer	Internship length
experienceText / experienceMinYears / experienceMaxYears	String / Integer	Jobs only
skills	Array	Skill labels from the card
description	String	Card snippet (full text when includeDetails is on)
postedText / postedDaysAgo	String / Integer	Relative posting age
applyBy / startDate / perks / openings / whoCanApply / aboutCompany	—	Detail-page fields when enrichment is enabled
source	String	Always internshala

Example row:

{
  "listingId": "3247413",
  "listingType": "internship",
  "title": "Data Analytics - Walk in interview",
  "employer": "Deep Life Savers",
  "location": "Secunderabad, Hyderabad (Hybrid)",
  "workMode": "hybrid",
  "isPartTime": true,
  "isActivelyHiring": true,
  "hasJobOffer": true,
  "jobOfferLpa": 15.0,
  "compensationText": "₹ 50,000 - 60,000 /month",
  "compensationMinInr": 50000,
  "compensationMaxInr": 60000,
  "compensationUnit": "month",
  "durationText": "2 Months",
  "durationMonths": 2,
  "skills": ["Python", "SQL", "Data Analytics", "MS-Excel"],
  "postedText": "1 day ago",
  "postedDaysAgo": 1,
  "url": "https://internshala.com/internship/detail/data-analytics-internship-in-multiple-locations-at-deep-life-savers1787216646",
  "source": "internshala"
}

Integration examples

Node.js

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('crawloop/internshala-scraper').call({
  position: 'python',
  location: 'Bangalore',
  listingType: 'internships',
  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/internshala-scraper").call(
    run_input={
        "position": "python",
        "location": "Bangalore",
        "listingType": "internships",
        "maxItems": 50,
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("title"), item.get("employer"), item.get("compensationText"))

cURL

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

MCP and AI assistants

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

Example prompts:

• "Run Internshala Scraper for python internships in Bangalore, max 50, and return title, employer, compensationText, url as JSON"
• "Scrape Internshala work-from-home digital marketing internships with stipend at least 8000 INR and summarize stipend bands"
• "Pull Internshala python internships in Bangalore, then run Naukri Jobs Scraper for the same role to compare early-career vs experienced salary bands"
• "Monitor Internshala content writing internships daily and return only new listing IDs"

Suite next step

Internshala is the campus / fresher layer of the India jobs suite. For the same Indian role on Naukri.com (experienced listings, CTC bands, AmbitionBox), run Naukri Jobs Scraper next. For Monster India / Foundit coverage, continue with Foundit Jobs Scraper.

FAQ

Is this an official Internshala API?
No. It calls the same public AJAX search the website uses (/internships_ajax/, /jobs_ajax/, /fresher-jobs_ajax/) and returns structured dataset rows — a practical Internshala API alternative for pipelines.

Does it work as an Internshala internship scraper and a fresher jobs scraper?
Yes. Set listingType to internships, jobs, fresher_jobs, or internships_and_jobs. One Actor covers all three Internshala boards.

Can I export CSV or Excel?
Yes. Download the default dataset as JSON, CSV, or Excel from Apify Console, or pull it via the API / MCP.

Can I paste an Internshala search URL?
Yes — startUrls accepts internship, job, fresher-job, and internships-for-women search pages, plus individual detail URLs. Path filters such as stipend, duration, and work-from-home map automatically.

Do I need an Internshala login?
No — public listing cards only.

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

Internships vs jobs vs fresher jobs?
Internships use monthly stipend and duration. Jobs and fresher jobs use annual CTC and experience. Set listingType accordingly, or internships_and_jobs to cover both boards in one run.

How do I get apply-by dates and perks?
Set includeDetails: true. This fetches each listing page (one extra HTTP request per row).

What is monitor mode?
With monitorMode: true, seen listing 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 listings per search?
Internshala paginates about 40–50 cards per page. Use extra locations / searchKeywords or start URLs to cover more.

Related Actors

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