Internshala Internship & Jobs Scraper

Extract structured internship and job listing data from Internshala.com — India's #1 career platform trusted by 400K+ companies with 200K+ active listings. Filter by category, city, remote, stipend and more.

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Why This Actor

Internshala is the dominant platform for student internships and fresher jobs in India. Existing actors on the Apify Store either don't paginate (returning only the first page of results), lack city/category filtering, or don't extract detail-page data like skills, perks and full descriptions. This actor covers all of these.

Key advantages:

• Full pagination — scrapes all available pages, not just the first
• Flexible filtering — category + city + WFH + part-time + stipend combinations
• Detail pages — skills, perks, full description, applicant count, openings
• Fast & cheap — uses raw HTTP (CheerioCrawler), no browser overhead
• No proxy required for most runs — Internshala has minimal bot protection

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How It Works

Internshala is server-side rendered, so no JavaScript execution is needed. The actor uses Crawlee's CheerioCrawler to:

1. Build search URLs from your filter combination (category × city)
2. Scrape listing cards from each search results page
3. Paginate automatically through all available pages
4. Optionally open each listing's detail page for full data

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Supported Listing Types

Type	Description
internships	Student internship positions across all fields
jobs	Fresher / entry-level full-time jobs

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Popular Categories

Category Slug	Description
web-development	Web dev internships/jobs
data-science	Data science, ML, AI
marketing	Digital marketing, SEO, social media
finance	Finance, accounting, CA
content-writing	Content, copywriting, blogging
graphic-design	Design, UI/UX
business-development	BD, sales
human-resources	HR, recruitment
engineering	Core engineering
computer-science	CS, software development
python	Python development
java	Java development
machine-learning	ML engineering

Any Internshala category slug works — just use the slug from the URL: internshala.com/internships/{slug}-internship/

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Input

{
  "listingType": "internships",
  "categories": ["web-development", "data-science", "marketing"],
  "cities": ["delhi", "mumbai", "bangalore"],
  "workFromHome": false,
  "partTime": false,
  "minStipend": 5000,
  "maxListings": 500,
  "maxPages": 20,
  "scrapeDetails": true,
  "requestDelay": 500,
  "maxConcurrency": 3
}

Parameters

Parameter	Type	Default	Description
listingType	string	internships	internships or jobs
categories	array	[]	Category slugs. Empty = all listings
cities	array	[]	City slugs. Empty = all India
workFromHome	boolean	false	Remote/WFH listings only
partTime	boolean	false	Part-time only
minStipend	integer	0	Minimum monthly stipend in ₹
maxListings	integer	200	Max total listings (0 = unlimited)
maxPages	integer	10	Max pages per category+city (0 = unlimited)
scrapeDetails	boolean	true	Open detail pages for skills, perks, description
requestDelay	integer (ms)	500	Delay between requests
maxConcurrency	integer	3	Parallel requests

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Output

Each listing is saved as one JSON record. Example:

{
  "listingId": "1744234567",
  "listingType": "internships",
  "url": "https://internshala.com/internship/detail/web-development-internship-at-startup-xyz1744234567",
  "title": "Web Development",
  "company": "Startup XYZ",
  "companyUrl": "https://internshala.com/company/startup-xyz",
  "location": "Delhi",
  "isRemote": false,
  "stipend": "₹ 10,000 /month",
  "stipendMin": 10000,
  "stipendMax": 10000,
  "duration": "3 Months",
  "startDate": "Immediately",
  "applyBy": "30 Apr' 26",
  "openings": 2,
  "applicants": 547,
  "skills": ["HTML/CSS", "JavaScript", "React", "Node.js"],
  "perks": ["Certificate", "Letter of recommendation", "Flexible work hours"],
  "description": "We are looking for a Web Development intern to join our team...",
  "isPartTime": false,
  "hasJobOffer": true,
  "postedAt": "Today",
  "category": "web-development",
  "scrapedAt": "2026-04-11T16:00:00.000Z"
}

Output Fields

Field	Type	Description
listingId	string	Unique Internshala listing ID
listingType	string	internships or job
url	string	Detail page URL
title	string	Role/position title
company	string	Hiring company
companyUrl	string	Company profile on Internshala
location	string	City or Work From Home
isRemote	boolean	True if WFH/remote
stipend	string	Stipend as displayed
stipendMin	integer	Parsed min monthly stipend (₹)
stipendMax	integer	Parsed max monthly stipend (₹)
duration	string	Internship duration
startDate	string	Start date
applyBy	string	Application deadline
openings	integer	Number of positions
applicants	integer	Number of applicants
skills	array	Required skills
perks	array	Perks offered
description	string	Full description
isPartTime	boolean	Part-time flag
hasJobOffer	boolean	Whether PPO is offered
postedAt	string	Post date
category	string	Category used in search
scrapedAt	string	Scrape timestamp (ISO 8601)

Download Formats

JSON, JSONL, CSV, XLSX, XML — from the Apify Console Dataset tab.

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Automation & Integration

n8n / Make / Zapier

Schedule daily runs and route results to Google Sheets, Airtable, CRMs, Slack alerts or email — perfect for job market monitoring or recruitment pipelines.

Apify API

# Start a run
curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "listingType": "internships",
    "categories": ["data-science"],
    "workFromHome": true,
    "maxListings": 1000
  }'

AI / LLM Pipelines

Use the description, skills and perks fields as grounding data for LLM-powered job matching, resume gap analysis, or market research agents. All fields consistently typed and null-explicit.

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Performance & Cost

Uses CheerioCrawler (raw HTTP, no browser) — significantly faster and cheaper than Playwright-based scrapers.

Listings	Concurrency	Estimated Time	Memory
200 (with details)	3	~2–4 min	256 MB
1,000 (with details)	5	~8–15 min	256 MB
5,000 (list only)	5	~10–20 min	256 MB

Set scrapeDetails: false for fastest bulk collection (list data only, no skills/description).

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Common Use Cases

• Recruitment intelligence — track which companies are hiring for specific skills across Indian cities
• Market research — analyze stipend trends, popular skills, internship durations by category
• Job board aggregation — build an India-focused job aggregator or newsletter
• AI training data — large structured dataset of Indian internship/job descriptions in English
• Startup tracker — monitor which startups are actively hiring interns (often first signal of growth)
• Career counseling — understand what skills are most in demand per city/category

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FAQ

Is this an Internshala API alternative?

Yes. Internshala has no official public API, so this actor works as an unofficial Internshala API — giving you structured internship and job data on demand without building or maintaining a scraper yourself.

Can I scrape Internshala without login?

Yes. Internshala listing and detail pages are server-side rendered and publicly accessible, so the actor extracts data without any login, account, or cookies.

How do I export Internshala internships to CSV or JSON?

Run the actor, then open the Apify Console Dataset tab and download the results as CSV, JSON, JSONL, XLSX or XML. Each Internshala internship dataset record includes stipend, skills, company and full description fields.

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Legal & Ethical Use

Users are responsible for compliance with Internshala Terms of Service and applicable data protection regulations. Scrape responsibly — use reasonable delays and do not republish individual user data.

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Changelog

2026-06-15

• Reliability pass: re-verified end-to-end on live data with real-world inputs. Routine maintenance build.

2026-06-07

• Docs: added coverage for using the actor as an Internshala unofficial API / API alternative, scraping without login, and exporting internship data to CSV/JSON.

2026-06-05

• 🛡️ Reliability fix: results are no longer dropped by strict output validation — runs now complete cleanly even at high volume (thousands of results).
• ⚡ Stability & performance hardening; fresh rebuild.

Version	Date	Notes
1.0.0	2025-04-11	Initial release — full pagination, category+city+WFH+stipend filters, detail pages

📝 Changelog

2026-06-04

• Verified live & refreshed build — reliability/maintenance pass.