Internshala Scraper

Extract internships and fresher jobs from Internshala.com at scale, with structured stipends, skills, company logos, and optional full detail-page enrichment. No API key required.

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Why this scraper?

🎯 Built for India

A dedicated Internshala scraper. Stipends are parsed in INR, categories and cities use Internshala's own URL grammar, and both internships and fresher jobs are covered from a single input.

📄 Two modes in one

Fast list mode returns the full card data — title, company, stipend, skills, duration and badges — in seconds. Switch on detail mode for the complete description, industry, openings count, apply-by date and precise location.

💶 Structured stipend

Minimum, maximum, unit (monthly, weekly, annual, lump sum) parsed from the raw stipend text. Listings without a published stipend return null, never a guess.

🏢 Company data

Company name, logo, hiring organisation and, in detail mode, an about-company summary.

🔎 Filter the way Internshala does

By category, city, work-from-home, part-time, and minimum stipend — or paste a Internshala search URL directly and every other filter is ignored.

🏷️ Hiring signals

Every record carries actively-hiring, early-applicant, part-time and PPO-offer flags so you can spot the strongest listings at a glance.

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Input parameters

Parameter	Type	Default	Description
listingType	string	internship	internship, job, or both.
categories	array	(empty)	Profiles to filter by (e.g. computer science, marketing). Empty means all.
locations	array	(empty)	Cities to filter by (e.g. delhi, mumbai). Empty means all.
workFromHome	boolean	false	Return only work-from-home internships.
partTimeOnly	boolean	false	Return only part-time listings.
minStipendInr	integer	(none)	Minimum stipend in INR per month. Listings with no parsed stipend are kept.
fetchDetails	boolean	false	Fetch each detail page for full description, industry, openings, apply-by date, structured salary, location and company info.
maxResults	integer	1000	Maximum listings to return.
requestsPerSecond	integer	5	Request rate limit. The default is reliable without proxies.
startUrls	array	(empty)	Specific Internshala listing URLs to scrape directly. Overrides all other filters.

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Output schema

Every field below is present on every record. Fields the source does not publish for a given listing are returned as null. Fields marked (detail) are populated only when fetchDetails: true.

Field	Type	Description
id	string	Internshala's internal listing ID.
listing_type	string	internship or job.
url	string	Direct link to the listing.
title	string	Role title.
company	string	Company name.
company_logo	string|null	URL of the company logo.
location	string|null	City, or "Work from home".
is_work_from_home	boolean	Whether the listing is work-from-home.
stipend_or_salary	string|null	Raw stipend or salary text as shown on the card.
stipend_min_inr	number|null	Parsed minimum stipend in INR.
stipend_max_inr	number|null	Parsed maximum stipend in INR.
stipend_unit	string|null	monthly, weekly, lump sum, fixed, or annual.
duration	string|null	Internship duration (e.g. "6 Months").
experience_required	string|null	Experience requirement, where shown.
posted_ago	string|null	Relative posting time (e.g. "3 weeks ago").
actively_hiring	boolean	Whether the actively-hiring badge is present.
is_early_applicant	boolean	Whether early-applicant status applies.
is_part_time	boolean	Whether the listing is part-time.
ppo_offer	string|null	Pre-placement-offer note, where present.
skills	array	Skills listed on the card.
description_snippet	string|null	Short description shown on the card.
detail_description	string|null	(detail) Full job description, plain text.
industry	string|null	(detail) Industry of the hiring company.
employment_type_detail	string|null	(detail) Employment type (e.g. INTERN, FULL_TIME).
total_openings	number|null	(detail) Number of openings.
date_posted	string|null	(detail) Date the listing was posted.
apply_by	string|null	(detail) Application deadline.
salary_currency	string|null	(detail) Currency of the structured salary (INR).
salary_min_detail	number|null	(detail) Minimum salary from the detail page.
salary_max_detail	number|null	(detail) Maximum salary from the detail page.
salary_period_detail	string|null	(detail) Pay period of the structured salary.
city	string|null	(detail) City from structured location.
region	string|null	(detail) State / region.
country	string|null	(detail) Country code (IN).
direct_apply	boolean|null	(detail) Whether direct apply is available.
hiring_organization	string|null	(detail) Hiring organisation name.
about_company	string|null	(detail) Company background summary.
content_hash	string	Stable hash of core identity fields, for deduplication across runs.
scraped_at	string	ISO timestamp when this record was scraped.

Example record

{
  "id": "3174220",
  "listing_type": "internship",
  "url": "https://internshala.com/internship/detail/telecalling-internship-in-dehradun-at-surge-fintech-private-limited1780915136",
  "title": "Telecalling",
  "company": "Surge Fintech Private Limited",
  "company_logo": "https://internshala-uploads.internshala.com/logo%2F5cer8aczxo3-11192.jpg.webp",
  "location": "Dehradun",
  "is_work_from_home": false,
  "stipend_or_salary": "₹ 8,000 - 10,000 /month",
  "stipend_min_inr": 8000,
  "stipend_max_inr": 10000,
  "stipend_unit": "monthly",
  "duration": "6 Months",
  "experience_required": null,
  "posted_ago": "3 weeks ago",
  "actively_hiring": true,
  "is_early_applicant": false,
  "is_part_time": false,
  "ppo_offer": null,
  "skills": ["Effective Communication", "English Proficiency (Spoken)"],
  "description_snippet": "Surge Fintech is a Dehradun-based fintech company offering payday loans ...",
  "detail_description": "About the Internship. Surge Fintech is a Dehradun-based fintech company ...",
  "industry": "Finance",
  "employment_type_detail": "INTERN, FULL_TIME",
  "total_openings": 2,
  "date_posted": "2026-06-08",
  "apply_by": "2026-07-25 23:59:59",
  "salary_currency": "INR",
  "salary_min_detail": 8000,
  "salary_max_detail": 10000,
  "salary_period_detail": "MONTH",
  "city": "Dehradun",
  "region": "Uttarakhand",
  "country": "IN",
  "direct_apply": true,
  "hiring_organization": "Surge Fintech Private Limited",
  "about_company": "Surge Fintech is a financial technology company focused on providing payday loans ...",
  "content_hash": "a1b2c3d4e5f60718",
  "scraped_at": "2026-07-06T12:18:04.000Z"
}

---

Examples

Computer science internships in Bangalore

{
  "listingType": "internship",
  "categories": ["computer science"],
  "locations": ["bangalore"],
  "maxResults": 100
}

Work-from-home internships with full details

{
  "workFromHome": true,
  "fetchDetails": true,
  "maxResults": 50
}

Paid internships only (minimum stipend)

{
  "minStipendInr": 10000,
  "maxResults": 200
}

Daily feed of new listings (run on a schedule)

{
  "listingType": "both",
  "maxResults": 500
}

Schedule this input to run once a day in the Apify Scheduler and use the id field as a stable key to detect new listings against yesterday's export.

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💰 Pricing

$1.99 per 1,000 results — you only pay for successfully retrieved listings. Failed retries are never charged, and an over-filtered query that returns nothing costs nothing.

Results	Cost
100	~$0.20
1,000	~$1.99
10,000	~$19.90
100,000	~$199.00

Flat-rate alternatives typically charge $29–$49/month regardless of usage.

Use the Max results cap in the input to control your spend exactly.

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Performance

Run size	Typical time
100 results (list only)	under 30 seconds
1,000 results (list only)	2–4 minutes
100 results with fetchDetails	1–2 minutes
1,000 results with fetchDetails	8–12 minutes

List mode is the fastest and cheapest. Enable fetchDetails only when you need descriptions, openings counts, apply-by dates, or structured location.

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Known limitations

• Some listings, especially fresher jobs, do not display a stipend or posted date on the card; those fields return null.
• Full description, industry, openings and apply-by date are only available with fetchDetails: true.
• Internshala's category and location filters are advisory; the scraper post-filters stipend to keep the dataset precise.
• Applying to a listing requires an Internshala student account; the actor returns the public detail-page URL, which anyone can open.

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Technical details

• Source: internshala.com — internships and fresher jobs in India
• Coverage: internships and jobs, filterable by category, city, work-from-home, part-time and stipend
• Deduplication: every record carries a stable content_hash for cross-run matching
• Retry: automatic retry on network errors with exponential backoff
• Push notifications: get new listings delivered to Telegram, Discord, Slack, WhatsApp or any webhook the moment a scheduled run finds them

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