Internshala Scraper - India Internships & Fresher Jobs

Internshala Scraper — India Internships & Fresher Jobs with Stipend, Skills, Company & Location

The most complete Internshala scraper on Apify. This Internshala scraper pulls live listings from Internshala.com — India's largest internships and fresher-jobs platform — returning the role title, hiring company, stipend / salary, required skills, location (including work-from-home), duration, posted date and listing URL. No login, no coding — just paste a search URL and scrape Internshala into a clean dataset.

Export to JSON, CSV, Excel, or API.

Built for recruiters, campus-hiring and talent-sourcing teams, EdTech & career-platform builders, compensation analysts and job-market researchers who need structured Internshala data at scale.

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🔎 Why scrape Internshala?

Internshala is India's dominant marketplace for internships and fresher jobs, used by millions of students and early-career professionals and tens of thousands of hiring companies. For anyone recruiting entry-level talent in India, it is the single richest source of live demand data — every listing carries a stipend or salary front-and-center, plus the exact skills the employer wants.

That data is extremely valuable, but Internshala gives you no bulk export and no public API. Collecting it by hand means scrolling endless result pages, clicking each card and copy-pasting the title, company, stipend, skills and location into a spreadsheet — then doing it again tomorrow because the listings change daily. It does not scale past a few dozen rows.

This Internshala scraper removes all of that friction. Paste any Internshala search or category URL and the actor walks every result page, parses each card into a clean structured row, de-duplicates the results and hands you a ready-to-analyze dataset in seconds. It is the fastest path from Internshala to a usable dataset — no scraping code, no login, no manual clicking.

Common reasons people scrape Internshala:

• 💼 Build a live feed of internships and fresher jobs for a recruitment or staffing desk.
• 💰 Benchmark stipends and salaries for interns and freshers by role, skill and city.
• 🧠 Analyze which skills employers demand most for each role or category.
• 📊 Track hiring demand, remote-vs-onsite mix and category trends over time.
• 🏢 Run competitive intelligence on which companies are hiring and at what pay.
• 🎓 Power EdTech / career products with structured Internshala inventory.
• 🤖 Feed clean titles, stipends, skills and locations into ML / analytics pipelines.

✨ What this Internshala scraper does

• ✅ Scrapes both internships and fresher jobs — paste an internships URL, a jobs URL, or several of each in one run.
• ✅ Automatic pagination — follows page-2, page-3, … to the end of the result set, returning hundreds to thousands of listings per run.
• ✅ De-duplicated rows — each listing appears once, keyed on its Internshala ID, even when it repeats across pages.
• ✅ Rich captured fields per listing:
  • 💰 Stipend / salary — e.g. ₹ 10,000 - 15,000 /month (internship) or ₹ 3,86,000 - 4,60,000 /year (job)
  • 🏢 Company name and logo URL
  • 🧠 Skills — the required skills/tags (e.g. MS-Office, HTML, Sales, English Proficiency)
  • 📍 Location — city, multiple cities, or Work from home
  • ⏱️ Duration — e.g. 3 Months (internships)
  • 🕒 Posted — recency label such as 2 days ago
  • 🧑‍💼 Type — internship or fresher job
  • ✅ Actively hiring badge and the direct listing URL
• ✅ Targeting via URL — any category, keyword, location or work-from-home filter you build on internshala.com is honored.
• ✅ Export anywhere — JSON, CSV, Excel, HTML or RSS, plus the full Apify API and integrations.
• ✅ Fast & reliable — lightweight HTTP scraping over Apify Proxy with automatic retries and IP rotation.

🎯 Use cases

• 🧑‍💼 Recruitment & campus hiring — monitor internships and fresher roles by category, location and company across India.
• 💰 Stipend / salary benchmarking — build compensation datasets for interns and freshers by role, skill and city.
• 🧠 Skills-demand analysis — rank the most-requested skills per category to shape curricula or job descriptions.
• 📊 Job-market research — track hiring demand, remote-vs-onsite share and category trends over time.
• 🏢 Competitive intelligence — see which companies are hiring for which roles and at what pay.
• 🎓 EdTech & career products — enrich your own platform with structured, fresh Internshala inventory.
• 📈 Lead generation — identify actively-hiring companies for recruitment-services or SaaS outreach.
• 🤖 ML / analytics pipelines — generate clean, labeled datasets of titles, stipends, skills, companies and locations.

📥 Input

Build a search on internshala.com (internships or jobs, any category, location, keyword or work-from-home filter), copy the address-bar URL, and paste it in. Add as many URLs as you like.

Field	Type	Default	Description
startUrls	array	["https://internshala.com/internships/"]	Internshala listing URLs — internships or jobs, any category/filter. Every listing across all result pages is collected.
maxItems	integer	200	Maximum listings to collect across all URLs. Set to 0 for unlimited.
proxyConfiguration	object	Apify Proxy	Proxy settings. Apify Proxy is enabled by default and recommended for reliable results at scale.

Example input:

{
  "startUrls": [
    "https://internshala.com/internships/",
    "https://internshala.com/internships/work-from-home-internships/",
    "https://internshala.com/jobs/"
  ],
  "maxItems": 500,
  "proxyConfiguration": { "useApifyProxy": true }
}

How to build a search URL

1. Go to internshala.com → Internships or Jobs.
2. Pick a category (e.g. Web Development), a location, or toggle Work from home.
3. Copy the URL from your browser's address bar — e.g. https://internshala.com/internships/web-development-internship-in-bangalore/.
4. Paste it into Search / category URLs.

📤 Output

One clean, structured record per listing. Example output item (real row from a live run):

{
  "internshipId": "3326601",
  "title": "Finance Research Analyst",
  "company": "Edify Equity",
  "employmentType": "internship",
  "stipend": "₹ 1,000 - 1,100 /month",
  "location": "Work from home",
  "duration": "1 Month",
  "skills": [
    "Attention to Detail",
    "Time Management",
    "Critical thinking",
    "Analytical Thinking",
    "Problem Solving",
    "English Proficiency (Spoken)",
    "Stock Trading"
  ],
  "posted": "2 days ago",
  "activelyHiring": "true",
  "logo": "https://internshala.com/static/images/search/placeholder_logo.svg",
  "url": "https://internshala.com/internship/detail/work-from-home-finance-research-analyst-internship-at-edify-equity1793363039",
  "scrapedAt": "2026-11-02T00:58:03.911Z"
}

And a fresher-job row — note the per-year salary format (no /month) and employmentType: job:

{
  "internshipId": "3326150",
  "title": "Sales Representative",
  "company": "Budding Mariners",
  "employmentType": "job",
  "stipend": "₹ 2,00,000 - 2,40,000",
  "location": "Jaipur",
  "duration": "",
  "skills": ["Leadership", "Team Management", "Salesforce", "MS-Excel", "Lead Generation", "Sales Management"],
  "posted": "2 days ago",
  "activelyHiring": "true",
  "logo": "https://internshala-uploads.internshala.com/logo%2F7t45hj5hhyc-82764.png.webp",
  "url": "https://internshala.com/job/detail/fresher-sales-representative-job-in-multiple-locations-at-budding-mariners1793333763",
  "scrapedAt": "2026-11-02T00:59:35.969Z"
}

Field reference

Field	Description
internshipId	Internshala internship/job ID (used for de-duplication).
title	Internship or job title.
company	Hiring company name.
employmentType	internship or job.
stipend	💰 Stipend (internships, e.g. ₹ 10,000 - 15,000 /month) or annual salary (fresher jobs, e.g. ₹ 2,00,000 - 2,40,000) string in rupees.
location	📍 City, multiple cities (e.g. Bangalore, Hyderabad), or Work from home.
duration	⏱️ Duration for internships (e.g. 3 Months, 6 Months). Present when applicable — fresher jobs usually have none.
skills	🧠 Array of required skills / tags (e.g. MS-Office, Salesforce, Lead Generation, English Proficiency (Spoken)).
posted	🕒 Posting-recency label (e.g. Today, Few hours ago, 2 days ago). Present when Internshala shows it.
activelyHiring	✅ "true" if the listing shows the actively-hiring badge, else "false".
logo	🖼️ Absolute company-logo URL (a placeholder image when the company has no logo).
url	🔗 Direct link to the listing on Internshala.
scrapedAt	🕑 ISO timestamp of extraction.

Verified on a live run (Nov 2026): across a 500-listing sweep the core fields — internshipId, title, company, stipend, location, skills, logo, url, employmentType, activelyHiring and duration — populated on 100% of internship rows with 0 duplicates. posted is data-dependent (~62% of cards carry a recency badge), and duration is present for internships but usually blank for fresher jobs. These two fields are the only ones that vary by listing.

Export everything to JSON, CSV, Excel, HTML or RSS, or pull it through the Apify API and integrations.

🔁 Pagination & scale

The actor paginates the way Internshala's own site does: starting from your base URL it requests .../page-2/, .../page-3/ and so on, collecting roughly 40–50 listings per page and continuing until it stops seeing new results (two consecutive empty pages end that URL). Listings are de-duplicated on internshipId across all pages and all input URLs, so a single run can return hundreds to thousands of unique listings with no repeats. In a recent benchmark the actor returned 500 unique, de-duplicated listings in ~34 seconds (0% duplicates) on a broad internships URL.

You control scale with maxItems — set a cap (e.g. 500) to keep runs small and cheap, or 0 for unlimited to sweep an entire category. Internshala has tens of thousands of active listings at any time, so an unlimited run on a broad URL (e.g. all internships) will keep paging until the category is exhausted. Mix internships and jobs in one startUrls list and the employmentType field (internship vs job) tells them apart in the output.

⚙️ How to use

1. Open the Internshala Scraper on Apify Console and click Try for free.
2. Paste one or more Internshala search/category URLs into Search / category URLs.
3. Set Max listings (0 for unlimited) and leave Proxy on the default Apify Proxy.
4. Click Start — listings stream into your dataset in real time.
5. Export as JSON, CSV, Excel, HTML or RSS from the dataset tab, or fetch via the Apify API.
6. Automate: run on a schedule and push results to Google Sheets, Make, Zapier, n8n, Airbyte, a database or a webhook.

Run via API (Python)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "startUrls": [
        "https://internshala.com/internships/",
        "https://internshala.com/jobs/"
    ],
    "maxItems": 500,
}

run = client.actor("haketa/internshala-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], "|", item["company"], "|", item["stipend"], "|", item.get("skills"))

Run via API (JavaScript)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('haketa/internshala-scraper').call({
    startUrls: ['https://internshala.com/internships/'],
    maxItems: 500,
});

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

💡 Tips

• 🎯 Narrow with filters on the site first. Build the exact search on internshala.com (category + city + work-from-home) and copy that URL — the scraper honors every filter baked into it.
• 🏠 Work-from-home: use the dedicated .../work-from-home-internships/ URL to capture only remote roles.
• 🧮 Keep runs cheap by setting maxItems — you rarely need every one of tens of thousands of listings for a single analysis.
• 🔀 Mix internships and jobs in one startUrls list; the employmentType field tells them apart in the output.
• 🧠 Skills live in an array — flatten or explode the skills field for skill-frequency analysis.
• 🗓️ Schedule daily runs to track how stipends, skills demand and new listings change over time.

❓ FAQ

Is scraping Internshala legal? This actor collects only publicly available listing information — the same content any visitor sees on Internshala search pages without logging in. It does not access private data or require an account. You are responsible for using the data lawfully (recruitment, research, analytics) and in line with the source platform's Terms and applicable data-protection laws.

Does it cover both internships and fresher jobs? Yes. Paste an internships URL, a jobs URL, or several of each — the actor handles both in one run and captures the stipend/salary and skills for each. The employmentType field marks which is which.

How many listings can I collect and how fast is it? As many as the search contains — roughly 40–50 per page, paginated to the end. A recent run pulled 500 unique listings in about 34 seconds. Set maxItems to 0 for unlimited to sweep an entire category. It is lightweight HTTP scraping over Apify Proxy, so even large runs finish in seconds to a couple of minutes depending on volume.

Do I need proxies or a login? No login ever. Apify Proxy is enabled by default and recommended for reliable results at scale; the actor rotates IPs and retries automatically.

Does every listing include a stipend and skills? Internshala shows a stipend/salary and a skills list on the vast majority of listings, and this actor captures them in the stipend and skills fields. duration applies mainly to internships, and posted is present when Internshala displays a recency label.

Which export formats are supported? Is there an API? JSON, CSV, Excel, HTML and RSS, plus full programmatic access via the Apify API and integrations (Google Sheets, Zapier, Make, n8n, Airbyte and more).

How fresh is the data? Every run scrapes Internshala live at run time, so results reflect the listings currently online — run it on a schedule to keep your dataset current.

Can I filter by city, category or work-from-home? Yes — build the search with those filters on internshala.com and paste the resulting URL. The scraper collects exactly what that URL returns.

Why is a logo sometimes a placeholder image? When a company has not uploaded a logo, Internshala serves a default placeholder; the actor returns that absolute URL so your output always has a usable image link.

🔗 Related scrapers

Building a cross-platform recruitment or job-market dataset? Pair this Internshala scraper with other job-board actors:

• Naukri Scraper — India's largest job portal, jobs & salaries.
• Seek Scraper — jobs across Australia & New Zealand.
• ZipRecruiter Scraper — US job listings with pay and company.
• Xing Jobs Scraper — DACH-region professional jobs.
• GulfTalent Jobs Scraper — Middle East & Gulf job listings.
• Workana Scraper — freelance projects across Latin America.

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▶️ Ready to scrape Internshala?

Paste a search URL, hit Start, and export clean internships and fresher-jobs data — with stipend, skills, company and location — in JSON, CSV, Excel or API. Run the Internshala Scraper now →