Internshala Scraper - India Internships & Fresher Jobs

India's biggest internship board, as a clean dataset. Search by keyword, category, city, work-from-home or minimum stipend, and get back every listing with the stipend parsed into numbers, the required skills as a list, the duration, the company, the number of openings and the full description.

No login, no cookies, no API key.

Why this one

• Stipend you can actually filter on. ₹ 8,000 - 14,000 /month is also returned as stipendMin: 8000, stipendMax: 14000, stipendPeriod: "month", stipendIsPaid: true - so you can sort, threshold and chart it without writing a parser.
• Skills as a real array, not a sentence: ["MS-Office", "Counseling", "Effective Communication"].
• Internships and fresher jobs in one actor. Set listingType to internships, jobs, or both.
• Filters compose. Keywords x categories x cities are expanded into separate searches, so ["marketing","finance"] x ["mumbai","delhi"] runs all four and dedupes the results for you.

Input

Field	What it does
listingType	internships, jobs, or both
keywords	Free-text search terms, each searched separately
categories	Internshala category slugs, e.g. web-development, human-resources
locations	Indian cities, e.g. pune, bangalore
workFromHome	Remote listings only
minStipend	Minimum INR per month
postedWithinDays	Only recent listings
fetchDetails	Open each listing for skills, responsibilities, openings and exact dates (default on)
maxPages / maxResults	Depth per search, and the total cap
startUrls	Paste an Internshala URL you built in the browser

Output

One row per listing:

{
  "type": "listing",
  "listingType": "internship",
  "listingId": "3232060",
  "title": "Marketing - Internship",
  "url": "https://internshala.com/internship/detail/marketing-internship-in-pune-at-steepgraph-systems-private-limited1785989467",
  "companyName": "SteepGraph Systems Private Limited",
  "locationName": "Pune",
  "locations": ["Pune"],
  "isWorkFromHome": false,
  "stipendText": "₹ 2,000 - 10,000 /month",
  "stipendMin": 2000,
  "stipendMax": 10000,
  "stipendCurrency": "INR",
  "stipendPeriod": "month",
  "stipendIsPaid": true,
  "durationText": "5 Months",
  "durationMonths": 5,
  "postedText": "1 day ago",
  "datePosted": "2026-08-06",
  "validThrough": "2026-09-05",
  "isActivelyHiring": true,
  "openings": 2,
  "skills": ["Digital Marketing", "Email Marketing", "MS-Excel"],
  "description": "Selected intern's day-to-day responsibilities include...",
  "responsibilities": "1. Conduct market research and competitor analysis...",
  "aboutCompany": "SteepGraph Systems Pvt. Ltd. provides expert consulting...",
  "employmentType": "INTERN",
  "industry": "Information Technology",
  "detailFetched": true,
  "searchQuery": "internships/marketing",
  "scrapedAt": "2026-08-07T05:10:00.000Z"
}

Notes on the data

• Two date fields, deliberately. postedText is what the site shows ("1 day ago") and postedAtApprox converts it, while datePosted is the exact date from the listing's own structured data. The approximate one is never passed off as exact.
• hiringOrganizationUrl is only present when the company published a link - roughly 6 in 10 listings.
• Unpaid internships are real listings, returned with stipendIsPaid: false and stipendMin/Max: 0 rather than dropped.
• Turning fetchDetails off is faster and cheaper but returns only what the search page shows: no skills, responsibilities, openings or exact dates.

Pricing

Pay-per-event: $0.002 per listing. Runs that find nothing charge nothing, and every finished run tells you what to change.

Use with AI assistants (MCP)

Works as a tool in any MCP-compatible assistant through the Apify MCP server - ask your agent for "remote marketing internships in India paying over ₹10,000" and it can call this actor directly.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

Legal

This actor collects publicly listed job and internship postings - business information published by employers for the purpose of being found. It does not log in and does not collect applicant data. Listing text remains the property of the posting company; use the output for sourcing, market research and aggregation, not for republishing listings as your own.

This actor is not affiliated with, endorsed by, or sponsored by Internshala or Scholiverse Educare Pvt. Ltd. Internshala is a trademark of its respective owner.