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Internshala Scraper | Internships & Fresher Jobs

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Scrape internships and fresher jobs from Internshala by keyword, category, city or URL: title, company, stipend or salary, location, duration, start date, applicants, skills, perks and full description.

🎓 Internshala Scraper

Scrape internships and fresher jobs from Internshala in seconds: title, company, stipend or salary, location, duration, start date, applicants, skills, perks, posted date and the full description. Search by keyword, category and city, filter by work from home, stipend or duration, or paste any Internshala results page. No login needed, and a thousand listings cost about 30 cents all in.

✨ Why use Internshala Scraper?

  • ⚡ Fast — listings are read straight from Internshala's public pages with plain HTTP, no browser, and detail pages are fetched in parallel: 100 full listings in about 20 seconds.
  • 🔎 Every way to search — keywords, categories, cities, work from home, part-time, minimum stipend or salary, duration, job offer (PPO), fast response, early applicant and listings for women.
  • 🧾 Complete rows — stipend or salary as text and as numbers (min, max, period), duration in months, openings, applicants, skills, perks, who can apply, company overview and the full description.
  • 🔗 Paste any URL — a filtered results page or a single internship or job page. Pagination is followed for you and duplicates are removed.
  • 💸 Cheap — $0.25 per 1,000 listings, with no start fee. You can also turn detail pages off for a quicker run on search-card data only.
  • 🧰 Ready for pipelines — JSON, CSV, Excel or API, schedules, webhooks, empty-field stripping and description length caps.

🎯 Use cases

  • 🧑‍🎓 Job boards and aggregators — keep a feed of new internships and fresher jobs fresh.
  • 📊 Stipend and salary benchmarking — compare pay by role, city, duration or work mode.
  • 🏢 Hiring intelligence — see which companies hire interns, how many openings they post and how many people apply.
  • 🎓 Career services and bootcamps — build lists of paid, remote or job-offer internships for students.
  • 🔔 Alerts — schedule a daily run for one search and send new rows to Slack, email or a sheet.

🚀 How to use

  1. Open the actor and type one or more keywords, or pick categories and cities, or paste Internshala URLs.
  2. Choose Internships, Jobs or Fresher jobs only, and set Max results.
  3. Optionally add filters: work from home, part-time, stipend, duration, job offer and more.
  4. Click Start. Rows appear in the dataset as they are found.
  5. Export as JSON, CSV or Excel, or read them through the API.

📥 Input

FieldWhat it does
queryKeywords, one search per keyword. Keyword search runs on its own.
category, locationCategory names (web-development, data-science, marketing, …) and cities (mumbai, delhi, bangalore, …). One search per combination.
listingTypeinternship, job (all levels) or fresher-job.
startUrlsInternshala results pages or single listing pages.
maxResultsTotal listings to save. 0 means every listing Internshala shows for the search.
workFromHome, partTime, forWomenListing type filters.
durationMonthsInternships up to 1, 2, 3, 4, 6, 12, 24 or 36 months.
minStipend, minSalaryMinimum monthly stipend or yearly salary in INR.
withJobOffer, fastResponse, earlyApplicantInternship signals.
includeDetailsOpen each listing for the full description (default on).
descriptionMaxLength, excludeEmptyFieldsShape the output.
proxyConfigurationDatacenter proxies by default.
{
  "query": ["web development"],
  "listingType": "internship",
  "maxResults": 20,
  "workFromHome": true,
  "minStipend": 5000
}

📤 Output

Each listing is one dataset row.

FieldDescription
title, company, companyUrl, companyWebsite, companyLogoThe listing and who posted it
listingType, location, workMode, isWorkFromHome, isPartTimeType and where the work happens
stipendText, salaryMin, salaryMax, salaryPeriodPay as shown and as numbers (INR)
duration, durationMonths, startDate, applyBy, validThroughTiming
skills, perks, numberOfOpenings, applicantCountRequirements and competition
description, descriptionHtml, whoCanApply, otherRequirements, aboutCompanyFull text
hasJobOffer, jobOfferText, activelyHiring, earlyApplicantSignals
descriptionMarkdown, extractedEmailsEvery section as one Markdown document, and any email written in the listing text
postedAt, publishedAge, canonicalUrl, scrapedAt, contentHash, contentQualityProvenance and change detection

Example (fictional listing):

{
  "jobKey": "9000001",
  "listingType": "internship",
  "title": "Web Development - Internship",
  "company": "Northwind Labs",
  "location": "Work from home",
  "workMode": "remote",
  "isWorkFromHome": true,
  "stipendText": "₹ 8,000 - 12,000 /month",
  "salaryMin": 8000,
  "salaryMax": 12000,
  "salaryPeriod": "MONTH",
  "duration": "3 Months",
  "durationMonths": 3,
  "startDate": "Immediately",
  "numberOfOpenings": 2,
  "applicantCount": 87,
  "skills": ["HTML", "CSS", "JavaScript", "React"],
  "perks": ["Certificate", "Letter of recommendation", "Flexible work hours"],
  "hasJobOffer": true,
  "postedAt": "2026-10-10",
  "publishedAge": "Posted 4 days ago",
  "applyBy": "9 Nov' 26",
  "description": "Selected intern's day-to-day responsibilities include:\n1. Build responsive pages with React\n2. Fix bugs and review pull requests\n3. Work with the design team on new features",
  "canonicalUrl": "https://internshala.com/internship/detail/example-listing-9000001",
  "extractedEmails": [],
  "sourceDomain": "internshala.com",
  "contentQuality": "full",
  "detailFetched": true
}

💰 Pricing

$0.25 per 1,000 listings: a quarter of a cent per listing saved, with no start fee. Platform usage is billed on top and is small: in our test runs 1,000 listings with full details used about $0.04 of datacenter proxy traffic and under $0.01 of compute.

JobListingsApproximate total
Quick check20≈ $0.007
One search100≈ $0.03
Big pull1,000≈ $0.30
Every internship on the site~7,500≈ $2.25

Set a maximum charge on the run and the scraper stops cleanly when it is reached, so you never pay for more than you allow.

❓ FAQ

Is it legal to scrape Internshala? The actor reads public listing pages that anyone can open without logging in. You are responsible for using the data in line with Internshala's terms and local law, and for not collecting personal data you have no right to use.

Do I need a login or cookies? No. Everything comes from public pages.

Do I need a proxy? Datacenter proxies are on by default because Internshala limits requests per IP. Switch to residential in the Proxy section if you ever see "blocked" in the run status.

How many results can I get? Every listing Internshala shows for the search. An unfiltered internship search holds several thousand, and the run stops cleanly when the list ends. Set maxResults to cap it.

What if a field is empty? Not every listing has every field (for example a stipend, a duration for jobs, or a company website). Empty fields are null, or removed when Exclude empty fields is on.

Can I schedule it or call it from code? Yes. Use schedules, webhooks or the API like any other actor.

⚠️ Limits

  • Internshala search only understands Latin letters in keywords. Other scripts are skipped.
  • Keyword search runs on its own. Category and city are ignored when a keyword is set, and the city is ignored for work from home.
  • Minimum stipend and salary drop listings with no stated stipend or salary. Duration means "up to this many months".
  • Only public pages are read: no applications, no logged-in recommendations, no employer contact details.
  • Internshala limits requests per IP address, so large runs are paced automatically: 100 listings take about 20 seconds, and the full internship catalogue (about 7,500 listings) about 14 minutes.
  • Internshala itself caps what a search shows. An unfiltered internship search lists about 7,500 listings; the run stops cleanly when the list ends.

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4.7/5
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