Internshala Scraper

Scrape internships and fresher jobs from Internshala at scale — search by keyword, category, or city, pull every posting's full details (stipend, skills, duration, apply-by), and optionally enrich each employer with a contact email. Pure HTTP, no login, no browser.

Why Use This Scraper?

• Search the way recruiters do — filter Internshala by keyword, category, and city, then narrow with work-from-home, part-time, minimum stipend, PPO (pre-placement offer), and women-only toggles. Or just paste any Internshala listing or posting URL.
• Full posting details, not just titles — every row carries the complete JobPosting: company, website, location, stipend range, duration, number of openings, perks, required skills, responsibilities, who-can-apply, apply-by date, and the direct apply URL.
• UNIQUE employer-email enrichment — flip one toggle and the scraper finds a contact email for the hiring company on top of every posting. No other Internshala scraper on the Store offers this — it turns a job feed into a ready-to-use B2B lead list.
• Incremental monitoring — schedule the actor and each re-run returns only postings you have not seen before, so you can watch a category or city for fresh internships without re-paying for old rows.
• Pure HTTP — no login, no browser — the scraper reads Internshala's own embedded structured data over plain HTTP (Cheerio/impit). No headless Chrome, no account, no captcha-solving service. That makes runs fast, cheap, and stable.
• Clean, export-ready output — one flat row per posting, ready to download as JSON, CSV, or Excel, or pipe straight into your ATS, CRM, or spreadsheet.

Overview

Internshala is India's largest internships and fresher-jobs platform, listing hundreds of thousands of internships and entry-level jobs across every category — from software development and data science to marketing, design, finance, and content writing.

This actor turns that public catalog into structured data. Point it at a search (keyword + category + city + filters), a listing page, or individual postings, and it walks the results, opens each internship or job, and reads the JobPosting structured data that Internshala embeds in every posting page. You get a consistent, fully-typed record per posting — the same fields whether you scraped one URL or fifty thousand.

Two things set this scraper apart from the field of competitors: it matches the feature leader's filter set (WFH, part-time, PPO, stipend, women-only, category, city) and then adds employer-email enrichment that none of them offer, at a lower price per result.

Typical uses: building internship and fresher-job aggregators, powering campus-hiring and career-platform dashboards, market research on stipends and demand by category or city, and B2B lead generation using the enriched employer emails.

Supported Inputs

You can drive the scraper three ways — mix and match them freely in a single run:

1. Keyword / category / city search (with filters)

Set any combination of searchQuery, category, and location, then add filters (workFromHome, partTime, withJobOffer, forWomen, minStipend, maxDurationMonths). Choose listingType = internship, job, or both. The scraper builds the correct Internshala search, pages through all results, and scrapes each posting.

2. Listing / search URLs (startUrls)

Already have an Internshala URL from your browser? Paste it in and the scraper pages through it and scrapes every posting it finds. Examples:

• https://internshala.com/internships/computer-science-internship-in-mumbai/
• https://internshala.com/internships/graphic-design-internship/
• https://internshala.com/internships/work-from-home-marketing-internship/
• https://internshala.com/jobs/
• https://internshala.com/jobs/data-science-jobs-in-bangalore/

3. Individual posting URLs (startUrls)

Drop the URL of a single internship or job and the scraper extracts just that posting — useful for enriching a hand-picked shortlist. Example:

• https://internshala.com/internship/detail/graphic-design-internship-in-jaipur-at-emiac-technologies

Detail pages are auto-detected, so listing URLs and posting URLs can sit in the same startUrls list.

Use Cases

Who	What they use it for
Recruiters & staffing agencies	Pull fresh internships/fresher roles by skill, category, and city into an ATS; track which companies are hiring which skills, at what stipend.
Ed-tech & career platforms	Power an internship/job board or a "recommended for you" feed with live, structured Internshala data — skills, stipend, duration, apply-by.
Student job-boards & communities	Aggregate WFH, part-time, and PPO opportunities for a campus, cohort, or Telegram/WhatsApp community, refreshed on a schedule.
B2B lead generation	Turn "who's hiring on Internshala" into a contactable list — the employer-email enrichment attaches a company email to every posting.
Hiring-market research	Analyse stipend ranges, in-demand skills, WFH share, and category/city hiring volume over time for reports, dashboards, or investor decks.

How It Works

1. Input — give the scraper a keyword/category/city search with filters, paste listing URLs, or drop individual posting URLs. Pick listingType = internships, jobs, or both.
2. Fetch & parse — over plain HTTP (no browser, no login), the scraper walks the listing page by page (/page-2, /page-3, …), opens each internship or job, and reads the JobPosting structured data embedded in the page. If enrichEmails is on, it then finds the employer's contact email. If monitoringMode is on, it skips postings seen in previous runs.
3. Emit — each posting becomes one flat row with all fields below, streamed to the dataset for download as JSON, CSV, or Excel, or via the API.

Input Configuration

Field	Type	Description
listingType	enum	internship, job, or both — which catalog(s) to scrape.
searchQuery	string	Keyword to search, e.g. graphic design, data science, content writing.
category	string	Internshala category to filter by, e.g. Marketing, Web Development, Finance.
location	string	City to filter by, e.g. Mumbai, Bangalore, Delhi.
workFromHome	boolean	Only return work-from-home (remote) opportunities.
partTime	boolean	Only return part-time opportunities.
withJobOffer	boolean	Only return internships that come with a pre-placement job offer (PPO).
forWomen	boolean	Only return opportunities in the "internships for women" segment.
maxDurationMonths	integer	Cap internship duration at this many months.
minStipend	integer	Minimum monthly stipend in INR.
startUrls	array	Internshala listing/search URLs or individual posting URLs to scrape directly. Detail pages are auto-detected.
includeDetails	boolean	Open each posting to extract the full JobPosting (default). Turn off for a faster, shallower listing-only pass.
maxItems	integer	Hard cap on the number of postings to return (across all inputs).
enrichEmails	boolean	Opt-in — find a contact email for the hiring company on each posting.
monitoringMode	boolean	Incremental mode — return only postings not seen in previous runs.
resetMonitoringState	boolean	Forget previously-seen postings — the next monitoring run returns everything again.
minConcurrency / maxConcurrency	integer	Advanced — tune parallelism for very large runs.
maxRequestRetries	integer	Advanced — how many times a failed page is retried before being skipped.
proxy	object	Apify proxy configuration. Residential proxies recommended for large runs.

Output Overview

Every posting is emitted as one flat JSON object. All fields come straight from Internshala's own JobPosting structured data (plus the scraper's own id, url, scrapedAt, and — when enabled — the enriched employer email). Fields that a given posting doesn't publish come back empty rather than missing, so the schema stays consistent across the whole dataset. Download the result as JSON, CSV, or Excel, or pull it via the Apify API.

Output Sample

A trimmed internship row (some text fields shortened for readability):

{
  "type": "internship",
  "id": "graphic-design-internship-in-jaipur-at-emiac-technologies",
  "url": "https://internshala.com/internship/detail/graphic-design-internship-in-jaipur-at-emiac-technologies",
  "title": "Graphic Design - Internship",
  "companyName": "EMIAC Technologies",
  "companyWebsite": "https://emiactech.com/",
  "aboutCompany": "EMIAC Technologies is a digital marketing agency specialising in SEO, content, and outreach...",
  "location": "Jaipur, Rajasthan",
  "addressLocality": "Jaipur",
  "addressRegion": "Rajasthan",
  "country": "IN",
  "workFromHome": false,
  "partTime": false,
  "employmentType": "INTERN",
  "stipend": { "currency": "INR", "min": 5000, "max": 7000, "unit": "MONTH", "text": "₹5,000 - 7,000 /month" },
  "durationText": "6 months",
  "startDateText": "Immediately",
  "numberOfOpenings": 2,
  "withJobOffer": false,
  "perks": ["Certificate", "Letter of recommendation", "Flexible work hours"],
  "postedDate": "2026-06-25",
  "applyByDate": "2026-07-25",
  "category": ["Marketing"],
  "skills": ["Adobe Photoshop", "CorelDRAW", "Adobe Illustrator", "Graphic Design"],
  "responsibilities": "Design social media creatives, banners, and marketing collateral...",
  "whoCanApply": "Available for a full-time (in-office) internship, can start between the given dates...",
  "otherRequirements": "Portfolio of prior design work preferred.",
  "description": "Selected intern's day-to-day responsibilities include designing...",
  "applyUrl": "https://internshala.com/internship/detail/graphic-design-internship-in-jaipur-at-emiac-technologies",
  "employerEmail": "careers@emiactech.com",
  "scrapedAt": "2026-07-03T09:14:22.000Z"
}

employerEmail appears only when enrichEmails is enabled.

Key Output Fields

Identity & links

• type — internship or job
• id — stable Internshala posting slug/id
• url — canonical posting URL
• applyUrl — direct apply link
• scrapedAt — ISO timestamp of extraction

Role

• title, employmentType
• category[] — Internshala categories the posting belongs to
• skills[] — required skills
• responsibilities, whoCanApply, otherRequirements, description

Company

• companyName, companyWebsite, aboutCompany
• employerEmail — enriched contact email (only with enrichEmails)

Location & mode

• location, addressLocality, addressRegion, country
• workFromHome, partTime

Compensation & terms

• stipend — { currency, min, max, unit, text }
• durationText, startDateText, numberOfOpenings
• withJobOffer — comes with a PPO
• perks[] — certificate, LoR, flexible hours, etc.

Dates

• postedDate, applyByDate

FAQ

Do I need an Internshala account or login? No. The scraper reads Internshala's public pages over plain HTTP and parses the structured data every posting already publishes. There is no login, no cookie, and no headless browser involved.

Can it scrape both internships and jobs? Yes. Set listingType to internship, job, or both. Internshala lists fresher/entry-level jobs alongside internships, and each row is tagged with a type field so you always know which is which.

How do the filters work — and can I just paste a URL instead? Both. You can set searchQuery, category, location, and the boolean/numeric filters (workFromHome, partTime, withJobOffer, forWomen, minStipend, maxDurationMonths) and the scraper builds the matching Internshala search. Or, if you already have an Internshala URL from your browser — a listing, a filtered search, or a single posting — paste it into startUrls. Listing and posting URLs can be mixed in the same list; detail pages are detected automatically.

How does the employer-email enrichment work, and what's the coverage? It's an opt-in extra (enrichEmails). When enabled, the scraper takes the hiring company on each posting — using the company website Internshala publishes where available — and looks up a contact email for it, attaching employerEmail to the row. Coverage depends on whether the company has a discoverable public email; postings where none can be found simply come back without the field. This is the one capability no competing Internshala scraper offers, and it's what turns a job feed into a lead list.

Can I run this on a schedule and only get new postings? Yes. Turn on monitoringMode and schedule the actor. Each run compares against postings seen in previous runs and returns only the new ones, so you can watch a category, city, or search for fresh internships without re-processing (or re-paying for) rows you already have.

What format is the stipend in? stipend is a structured object: { currency, min, max, unit, text } — e.g. { "INR", 5000, 7000, "MONTH", "₹5,000 - 7,000 /month" }. The min/max/unit fields are numeric and machine-friendly for filtering and analysis, while text preserves Internshala's original human-readable string. Fixed (non-range) stipends come through with min equal to max; unpaid internships come through as zero.

What export formats are supported? Every run writes to an Apify dataset you can download as JSON, CSV, Excel, XML, or JSONL, or fetch via the Apify API. It plugs into scheduling, webhooks, and integrations (Google Sheets, Zapier, Make, etc.) like any Apify actor.

How fast is it, and how many postings can it handle? Because it's pure HTTP with no browser, throughput is high and cost per result is low. It scales from a single posting to tens of thousands across many searches; use maxItems to cap volume and Apify residential proxies for the largest runs. Enabling enrichEmails adds a lookup step per posting, so email-enriched runs take a little longer.

Support

• Found a bug or need a new field? Open a ticket on the Issues tab of this actor — it's the fastest way to reach me and I actively maintain this scraper.
• Email: muhamed.didovic@gmail.com
• Website: muhamed-didovic.github.io

Additional Services

Need something beyond the standard output? I build and maintain custom scrapers and data pipelines. Happy to help with:

• Custom fields, filters, or export formats tailored to your workflow
• Scheduled, incremental feeds wired into your ATS, CRM, or data warehouse
• Enrichment beyond employer email (company firmographics, social profiles, etc.)
• Private or dedicated actors for high-volume or compliance-sensitive use

Reach out via the Issues tab or email and describe what you need.

Explore More Scrapers

Browse my other Apify actors — job boards, business directories, review sites, social platforms, and more — on my profile: memo23 on Apify.

⚠️ Disclaimer

Internshala is a trademark of Scholiverse Educare Pvt. Ltd. (Internshala). This actor is an independent tool and is not affiliated with, authorized by, endorsed by, or in any way officially connected to Internshala or Scholiverse Educare.

This scraper accesses only publicly available data — the same information any visitor can see in their browser without logging in. It does not bypass authentication, access private or gated data, or collect personal data beyond what companies voluntarily publish on public postings.

You are responsible for how you use the data you collect. Use it in compliance with Internshala's Terms of Service, applicable laws (including the GDPR, India's DPDP Act, and other data-protection and anti-spam regulations), and any contractual obligations you may have. In particular, when using enriched employer emails, ensure your outreach complies with applicable consent and marketing laws. Do not use scraped data to spam, harass, or violate anyone's privacy.

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