Internshala Scraper: India Internships & Fresher Jobs

Scrape internships and fresher jobs in India from Internshala (internshala.com), India's biggest internship site, with no login and no API key, and get a report for every search:

• Every listing: title, company, city or work from home, stipend per month (internships) or salary per year (jobs), duration, experience asked for, skills, posted date, part-time, job offer after internship, fresher job and actively-hiring flags, link
• Listing details (optional): full description, who can apply, perks, number of openings, number of applicants, start date, apply-by date, exact posting date, CTC breakup, industry, company website, and the employer's track record (hiring since, opportunities posted, candidates hired)
• Filters: keywords, cities, work from home, minimum monthly stipend, minimum yearly salary (LPA)
• Report per search: stipend or salary ranges, unpaid share, work-from-home and part-time share, durations, top skills, top companies and cities, freshness; with details also applicants, openings, perks and industries

What does this Internshala scraper do?

Internshala · "python" internships · 277 listings, all read
 Stipend median ₹12,000 a month (₹7,500 – 18,500) · 17% unpaid
 62% work from home · 41% part time · 16% offer a job after the internship
 Skills asked with Python: Machine Learning 30% · HTML 22% · SQL 21%

1. Choose internships or jobs and enter keywords (one search each) and optional cities.
2. Add filters: work from home, minimum stipend or minimum salary.
3. Turn on listing details for openings, applicants, perks and deadlines.
4. You get one row per listing and one report per search.

flowchart LR
    A[Keywords,<br/>cities,<br/>filters] --> B[Internshala<br/>listing pages<br/>40-60 per page]
    B --> C[Listings<br/>stipend, city,<br/>skills, flags]
    C --> D[Listing pages<br/>openings, applicants,<br/>perks, deadline<br/>optional]
    C --> E[Report<br/>pay ranges,<br/>top skills,<br/>companies, cities]
    D --> E

Who is it for?

• Colleges, placement cells and career coaches: which internships are open for a field, what they pay, and which skills students need
• Ed-tech and training companies: the skills employers ask for most, by role, to plan courses
• Recruiters and staffing agencies: companies hiring freshers and interns now, by city
• Sales teams selling to startups and SMEs: employers actively hiring on Internshala, with their website and how much they hire
• Students and job seekers: every open internship for a role in one sheet, with stipend, deadline and how many people already applied
• Analysts and journalists: stipends, unpaid internships and remote work across India's entry-level market

What data do you get?

Listings (dataset, one row per internship or job)

Field	What it tells you
id, type, title, url, company, activelyHiring	The listing and the employer
locations, workFromHome	Cities, or work from home
payText, payMin, payMax, payPeriod, unpaid, incentives, performanceBased	Stipend (internships, mostly per month) or salary (jobs, per year) in rupees
durationText, durationMonths	Internship length
experienceText, experienceMinYears, experienceMaxYears	Experience a job asks for
partTime, jobOfferAfterInternship, fresherJob, international, earlyApplicant	Internshala's own labels
skills, snippet	Skills on the card and the first line of the ad
postedAgoText, approxPostedAt	When it was posted
description, whoCanApply, perks, otherRequirements, additionalInformation, ctcBreakup	With details: the full ad
openings, applicants, applicantsAtLeast, startDate, applyBy, datePosted	With details: openings, applicants (1000+ is 1000 with applicantsAtLeast), dates
aboutCompany, companyWebsite, industry, category, employerHiringSince, employerOpportunitiesPosted, employerCandidatesHired	With details: the employer

Report (REPORTS, one per search; REPORTS_CSV as a flat sheet)

Field	What it tells you
matchingListings, allMatchesRead, listingsRead	How many listings match, and whether all were read
pay	Monthly stipend (internships) or yearly salary (jobs): 25th percentile, median, 75th percentile, highest
unpaidPercent, workFromHomePercent, partTimePercent, jobOfferAfterInternshipPercent, fresherJobPercent	The shape of the market
medianDurationMonths, durations, experience	How long internships run, what jobs ask for
topSkills, topCompanies, topCities	Who asks for what, where
freshness	Share posted in the last 24 hours and 7 days
applicants, medianOpenings, topPerks, topIndustries	With details: competition, openings, perks, industries

Example: 24 October 2026

Five internship searches, up to 1,000 listings each (3,023 listings in 7 minutes):

Search	Listings	Median stipend / month	Unpaid	Work from home	Top skill besides the keyword
python	277 (all)	₹12,000	17%	62%	Machine Learning 30%
data science	373 (all)	₹10,900	12%	57%	MS-Excel 26%
marketing	3,508	₹11,000	1%	5%	Social Media Marketing 31%
content writing	1,292	₹9,500	5%	31%	Social Media Marketing 57%
graphic design	373 (all)	₹10,000	3%	28%	Adobe Photoshop 57%

Three job searches with details on (170 jobs, all detail pages read, about 2 minutes):

Search	Jobs	Median salary / year	For freshers	Median applicants	Top perk
sales	2,191 (100 read)	₹8,00,000	61%	110	Health insurance 30%
data analyst	51 (all)	₹5,30,000	98%	370	–
software developer	19 (all)	₹3,70,000	58%	1,000+	5 days a week 58%

Pricing

Pay per event:

Event	Price
Listing saved	$0.001
Listing details read (only with details on)	$0.001
Search report	$0.02

1,000 internships with a report cost $1.02; with details $2.02. Platform usage is small: the 1,000-listing marketing search used under $0.001 of compute.

Good to know

• Cities: Internshala has one page per city name and treats spellings as different cities (Bangalore had 2,900 internships, Bengaluru 650, and the Bengaluru ones checked all appear under Bangalore too). Bengaluru, New Delhi, Gurugram, Bombay, Madras and Calcutta are mapped to Internshala's main page. A city Internshala has no page for is reported in the run summary.
• Work from home with a city returns work-from-home listings plus listings in that city, as on Internshala.
• Minimum stipend is Internshala's own filter: it keeps a listing when the top of its range reaches the amount, so "₹1,000 - 30,000" passes ₹8,000. It accepts ₹2,000 to ₹10,000 in steps of 2,000; minimum salary accepts 2 to 10 LPA.
• Counts: matchingListings is exact when every page was read (allMatchesRead), otherwise it is the number in Internshala's page heading.
• Pay: "Unpaid", "Performance based" and "Competitive salary" carry no number. Lump-sum and weekly stipends keep their own payPeriod and are left out of the monthly median.
• Dates: listing pages say "3 days ago"; approxPostedAt is worked out from that. With details it is the exact posting date when Internshala publishes it.
• No personal data: recruiters' names are not collected.

Input

Field	Default	What it does
listingType	internships	Internships or jobs
keywords	["python"]	One search per keyword; empty = every listing
locations	–	One search per city (combined with each keyword)
workFromHome	false	Remote listings only
minStipend	any	Internships: ₹2,000 to ₹10,000 a month
minSalaryLpa	any	Jobs: 2 to 10 lakh a year
maxResultsPerSearch	200	Most listings per search, newest first (up to 5,000)
includeDetails	false	Open each listing for openings, applicants, perks and dates
includeReports	true	One report per search

{
  "listingType": "internships",
  "keywords": ["python", "data science"],
  "locations": ["Bangalore"],
  "workFromHome": false,
  "minStipend": "6000",
  "maxResultsPerSearch": 500,
  "includeDetails": true
}

Integrations

Run it on a schedule to track new internships every morning, send the dataset to Google Sheets, Airtable or Excel, or call it from Make, Zapier, n8n or the Apify API. The REPORTS_CSV record opens directly in any spreadsheet.