Internshala Scraper — Internships & Fresher Jobs Data (No API Key)

Scrape internships and fresher jobs from Internshala.com — India's #1 student career platform — into clean, structured JSON. Pull role, company, stipend/salary, location, duration, required skills, perks, apply-by date, openings, posting recency and "actively hiring" signals across every category and city. No API key. No login. No browser overhead.

Internshala lists 200K+ active internships and fresher jobs from 400K+ companies — but there is no public API to get that data out. This Actor turns any category, city, or filter combination into a downloadable dataset in minutes: point it at web-development internships in Bangalore, work-from-home data-science roles, or fresher marketing jobs paying ₹10,000+, and it paginates through every result, opens each detail page, and hands back fully typed records ready for Sheets, a CRM, a job board, or an LLM pipeline.

🏆 Why this Internshala Scraper?

26 structured fields per listing (stipend, skills, perks, openings, apply-by, posting recency, actively-hiring) · Thousands of internships & jobs per run with full pagination · No API key, no login, no cookies — publicly rendered pages only · One-click export to JSON, CSV, Excel, XML — feed Sheets, Airtable, BI or AI

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✨ What this Actor does

• 🎓 Scrapes both internships and fresher jobs — pick internships or jobs (entry-level / fresher full-time roles) with one dropdown.
• 🗂️ Filters by category — web-development, data-science, digital-marketing, finance, graphic-design, full-stack-development and 20+ more Internshala category slugs, each run as a separate search.
• 📍 Filters by city — Delhi, Mumbai, Bangalore, Hyderabad, Chennai, Pune, Kolkata or any Internshala city — or scrape all of India at once.
• 🏠 Work-from-home / remote toggle — flip one switch to return only remote listings across the country.
• 💸 Stipend & salary data — the raw display string plus parsed stipendMin / stipendMax in ₹, with an optional minimum-stipend filter.
• 🧩 Deep detail pages — required skills, perks, full description, openings, start date and PPO (job-offer) flag from each listing.
• 🔥 Freshness signals — every card carries posting recency (postedAt), plus isActivelyHiring, isEarlyApplicant and isUnpaid flags so you can prioritise the hottest, still-open listings.
• 📄 Full auto-pagination — walks every results page (not just the first), capped by your maxPages / maxListings budget.
• ⚡ Fast & cheap HTTP engine — raw HTTP + Cheerio (no headless browser), so runs are quick and low-cost; Internshala has minimal bot protection.
• 🧹 Clean, consistent schema — 26 predictable, null-explicit fields per record, ready for spreadsheets, databases and AI.

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🚀 Quick start (3 steps)

1. Open the Actor on Apify and click Try for free (or Start).
2. Set your inputs — choose internships or jobs, add one or more categories (e.g. web-development), optionally add cities or enable Work From Home, and set maxListings.
3. Run it, then open the Dataset tab and export to JSON, CSV, Excel or XML — or grab results straight from the Apify API.

No coding, no API key, no Internshala account required.

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📥 Input

The only thing you really need is a category (or leave categories empty to scrape everything). Everything else is an optional filter.

Example — Web-development internships in top cities

{
  "listingType": "internships",
  "categories": ["web-development", "full-stack-development"],
  "cities": ["delhi", "mumbai", "bangalore"],
  "minStipend": 5000,
  "scrapeDetails": true,
  "maxListings": 500,
  "maxPages": 20
}

Example — Work-from-home data-science internships (all India)

{
  "listingType": "internships",
  "categories": ["data-science", "machine-learning"],
  "workFromHome": true,
  "scrapeDetails": true,
  "maxListings": 1000
}

Example — Fresher marketing jobs by keyword category

{
  "listingType": "jobs",
  "categories": ["marketing", "digital-marketing"],
  "cities": ["bangalore", "pune"],
  "scrapeDetails": true,
  "maxListings": 300,
  "maxPages": 15
}

All input parameters

Field	Type	Description
listingType	string	internships or jobs (fresher / entry-level roles). Default internships.
categories	array	Internshala category slugs — e.g. web-development, data-science, digital-marketing, finance, graphic-design, full-stack-development, content-writing, hr, mba, software-development. Each slug runs as a separate search. Empty = all categories.
cities	array	City slugs to filter by (delhi, mumbai, bangalore, hyderabad, chennai, pune, kolkata, …). Empty = all India.
workFromHome	boolean	Return only work-from-home / remote listings. Overrides city filters. Default false.
partTime	boolean	Return only part-time listings. Default false.
minStipend	integer	Minimum monthly stipend in ₹ (e.g. 5000, 10000, 15000). 0 = no filter.
maxListings	integer	Max total listings across all categories & cities. 0 = unlimited. Default 200.
maxPages	integer	Max pages to paginate per category+city (~40 listings/page). 0 = unlimited. Default 20.
scrapeDetails	boolean	Open each detail page for skills, perks, full description, openings & start date. Slower but richer. Default true.
proxyConfiguration	object	Optional proxy settings. Internshala has weak bot protection — datacenter proxies usually work; residential recommended for very high volume.
requestDelay	integer	Delay between requests in milliseconds (300–800 is plenty). Default 500.
maxConcurrency	integer	Parallel requests (Internshala tolerates 3–5). Default 3.

💡 Tip: For the fastest, cheapest bulk collection, set scrapeDetails: false — you'll still get title, company, stipend, location, duration and apply-by from the listing cards, just without the skills/perks/description that require opening each detail page.

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📤 Output

Each internship or job is one clean JSON record. Here's a trimmed real-shape sample:

{
  "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": "Bangalore",
  "isRemote": false,
  "stipend": "₹ 10,000 /month",
  "stipendMin": 10000,
  "stipendMax": 10000,
  "duration": "3 Months",
  "startDate": "Immediately",
  "applyBy": "30 Apr' 26",
  "openings": 2,
  "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,
  "isUnpaid": false,
  "isActivelyHiring": true,
  "isEarlyApplicant": false,
  "postedAt": "3 days ago",
  "category": "web-development",
  "scrapedAt": "2026-07-13T16:00:00.000Z"
}

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💡 Use cases

• 🎯 Talent sourcing & recruiting — find which companies are hiring for a given skill in a given city, and build a live candidate-demand feed for interns and freshers.
• 📊 Stipend & market research — analyse stipend trends, most-requested skills, typical durations and hiring volume by category or city across India.
• 🧲 Job-board & aggregator feeds — power an India-focused internship/jobs aggregator, newsletter or Telegram channel with fresh, structured listings.
• 🏢 Competitive hiring intelligence — track which startups and firms are actively recruiting interns (often the first public signal of a growth phase).
• 🎓 Student & career-platform tools — surface relevant internships by skill and city inside ed-tech, placement-cell or career-guidance products.
• 🤖 AI & LLM grounding data — use the description, skills and perks fields as clean training/context data for job-matching, resume-gap and market-analysis agents.

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👥 Who uses it

Recruiters & staffing agencies · job boards & aggregators · HR & talent-market analysts · ed-tech, placement-cell & career platforms · startup & competitive-intelligence teams · market researchers & data journalists · students & career counsellors building internship feeds · growth and lead-gen teams tracking who's hiring in India.

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💰 Pricing

This Actor runs on a simple pay-per-result model — you pay for the internship/job records you receive, with no monthly subscription and no Internshala API costs. See the Pricing tab on this page for the current rate.

Because it uses a lightweight HTTP + Cheerio engine (no headless browser), platform compute usage stays low even on large runs.

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❓ Frequently Asked Questions

Is it legal to scrape Internshala? This Actor only collects publicly available listing data that Internshala already shows to any visitor without logging in. You are responsible for using the data in line with Internshala's Terms of Service and applicable laws (e.g. GDPR/local data-protection rules). Scrape responsibly, use reasonable delays, and don't republish individual users' personal data.

Does Internshala have a public API? No. Internshala does not offer an official public API for internships or jobs. This Actor works as an unofficial Internshala API, returning the same listing data as clean, structured JSON on demand — no scraper to build or maintain.

Can I use this without an API key or login? Yes. Internshala's listing and detail pages are server-side rendered and publicly accessible, so the Actor extracts everything without any API key, login, account or cookies.

How do I export Internshala data to CSV or JSON? Run the Actor, open the Dataset tab in Apify Console, and download as JSON, JSONL, CSV, Excel (XLSX) or XML — or pull results programmatically via the Apify API. Every record includes stipend, skills, company and full description fields.

How much data can I get? As much as the search returns. Full pagination lets you pull thousands of internships and jobs per run; use maxListings and maxPages to cap volume, or set them to 0 for unlimited. Each page yields roughly 15–20 listings.

Can I scrape only work-from-home internships? Yes. Enable the Work From Home toggle and the Actor returns remote listings only, overriding any city filter — ideal for building a nationwide remote-internship feed.

Does it extract stipend data? Yes. Every record has the raw stipend string exactly as displayed, plus parsed stipendMin and stipendMax values in ₹ so you can sort and filter numerically. Use minStipend to keep only listings at or above a monthly amount.

Which categories and cities are supported? Any valid Internshala category slug works — web-development, data-science, digital-marketing, finance, graphic-design, full-stack-development, content-writing, hr, mba, software-development, mobile-app-development and more — combined with any city (Delhi, Mumbai, Bangalore, Hyderabad, Chennai, Pune, Kolkata, …) or all of India.

Does it capture required skills and perks? Yes — the skills array is captured straight from the listing cards, and with scrapeDetails enabled (the default) each record also includes perks, the full description, openings and the start date pulled from the listing's detail page.

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🔗 More job & recruitment scrapers by logiover

Building a hiring pipeline, a job aggregator, or India-market talent intelligence? Pair this with the rest of the jobs suite:

Actor	What it scrapes
Naukri Job Scraper	Naukri.com jobs — India's largest job board
Hirist Tech Jobs Scraper	Hirist tech & IT jobs across India
WorkIndia Candidate Scraper	WorkIndia blue/grey-collar listings
Lagou Tech Jobs Scraper	Lagou (拉勾) China tech job postings
Built In Tech Jobs Scraper	Built In startup & tech roles (US hubs)
Greenhouse Job Board Scraper	Company career pages hosted on Greenhouse
Lever Postings Scraper	Job postings from Lever-powered boards
Seek Jobs Scraper	Seek jobs (Australia & NZ)
Arbeitnow Jobs Scraper	Arbeitnow European & visa-sponsor jobs
Himalayas Remote Jobs Scraper	Himalayas remote-first job listings
Jobicy Remote Jobs Scraper	Jobicy remote jobs worldwide
Welcome to the Jungle Jobs Scraper	Welcome to the Jungle company jobs
The Muse Jobs Scraper	The Muse curated jobs & company profiles

👉 Browse all logiover scrapers on Apify Store — 180+ actors across real estate, jobs, crypto, social media & B2B data.

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⏰ Scheduling & integration

• Schedule runs (hourly, daily, weekly) from the Apify Schedules tab to keep a live feed of new internships and jobs.
• Automate downstream with n8n, Make or Zapier — push results into Google Sheets, Airtable, Notion, a CRM, Slack or email alerts.
• Call it from code via the Apify API or the JavaScript / Python Apify client — start runs and fetch the dataset programmatically.
• Feed AI pipelines — the consistently typed description, skills and perks fields make clean grounding data for LLM job-matching and market-analysis agents.

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⭐ Support & feedback

Found a bug, need an extra field, or want a new filter? Open an issue on the Actor's Issues tab. Feedback and feature requests are welcome — and if this Actor saves you time, a rating on the Apify Store genuinely helps.

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⚖️ Legal

This Actor collects only publicly accessible information from Internshala.com. You are responsible for compliance with Internshala's Terms of Service and any applicable data-protection regulations (including GDPR and India's data-protection rules). Use reasonable request rates, respect the platform, and do not republish individual users' personal data. This Actor is not affiliated with or endorsed by Internshala.

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📝 Changelog

2026-07-13

• 🔧 Fixed postedAt — posting recency now fills on ~4× more listings (a brittle selector was returning blank on most cards).
• 🧼 Fixed startDate — cleaned a duplicated-text glitch (e.g. "Starts immediatelyImmediately" → "Immediately").
• 🔥 New freshness signals — added isActivelyHiring, isEarlyApplicant and isUnpaid booleans.
• 🧹 Accuracy — removed applicants (Internshala only shows applicant counts to logged-in users, so it was never populated). Output is now 26 dependable, always-real fields.

2026-07-06

• ✨ README overhaul: richer output sample, ready-to-run example scenarios, cross-promo links, clearer quick-start and expanded FAQ.

2026-07-01

• Maintenance pass: re-verified end-to-end on live data and confirmed successful runs within the 5-minute quality window on the default input.
• Sharpened Store metadata (SEO title & description) and expanded the FAQ with high-intent, long-tail questions for easier discovery in Google and Apify Store search.
• Added ready-to-run example tasks that cover common real-world use cases.

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

2026-06-04

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