Internshala Scraper - internships and fresher jobs with stipend/salary, deadline and description

Turn Internshala listing pages into a clean table: internships and fresher jobs with the stipend or salary as numbers, the apply-by date, number of openings, skills, perks, the job description and the company website. Paste a category, city, work-from-home, part-time or fresher-jobs listing page (or single listing URLs) and get one row per listing. Public pages only, no login, no cookies, no applying.

What you get

• The Internshala listing pages listed under Input: the plain all-internships, all-jobs and all-fresher-jobs pages, category and city pages, work-from-home and part-time pages, fresher-jobs pages, and filter pages with a second part. Internships and jobs in one Actor; the Actor follows "Next" until the last page.
• Pay as numbers (salaryMin, salaryMax, salaryCurrency, salaryPeriod) and the exact posting date (datePosted, applyBy) when Internshala publishes them. Internshala publishes this structured data for only part of its listings. In our checks on the Apify platform on 21 Oct 2026 (140 listings from three pages: Python internships, Pune internships, Pune fresher jobs) 55 in 100 listings had pay numbers and 70 in 100 had the exact dates; the share differed by page, from 48 to 65 in 100 for pay numbers and from 57 to 90 in 100 for dates. The pay as shown on the page (payText, for example ₹ 5,000 - 8,000 /month) is always there.
• Detail per listing: the "About the internship/job" text, start date, apply-by date, openings, skills, perks, company website and "about the company". The separate "Who can apply", "Other requirements" and "Additional information" sections of a listing are not included.
• Cheap: pay per listing with the detail page included. One row costs the same with or without the details.

Input

Field	What it does
searchUrls	Internshala listing pages, in the shapes listed below the table. A page-N part or a query string is ignored: the Actor always starts from page 1 and follows "Next".
listingUrls	Single listings: https://internshala.com/internship/detail/<name><number> or https://internshala.com/job/detail/<name><number>. The row is built from that page alone.
includeDetails	Default true: opens each listing for the details (one extra request per listing). false returns the list-page fields only, much faster.
maxResults	Listings per run: 200 when you leave it out of an API call, hard cap 5,000. The Console form starts with 20, a quick and cheap first run.
proxyConfiguration	Apify datacenter proxy by default. Residential proxies are not needed.

Accepted searchUrls addresses (they may start with https://, http://, www. or nothing, and may carry a query string or a # part):

• category, city, work-from-home and part-time pages: https://internshala.com/internships/marketing-internship/, https://internshala.com/internships/work-from-home-internships/, https://internshala.com/jobs/jobs-in-pune/
• fresher-jobs pages: https://internshala.com/fresher-jobs/jobs-in-pune/
• the plain pages: https://internshala.com/internships/, https://internshala.com/jobs/, https://internshala.com/fresher-jobs/
• filter pages with a second part: https://internshala.com/internships/work-from-home-internships/part-time-true/, https://internshala.com/jobs/jobs-in-pune/work-from-home/

Anything else (for example internshala.com/student/..., an address with three or more path parts, another website) is not read.

Fill searchUrls or listingUrls (or both). If neither holds a usable address, the run fails at once with a one-line message that lists the accepted shapes (and names the first unusable address, if you gave one), and nothing is charged. Unusable addresses next to usable ones are skipped and listed in the FAILURES record with the status unsupported_input.

Output

One row per listing (duplicates across your URLs are removed, the first one wins). Fields, in this order:

Field	Meaning
listingId	Internshala's id of the listing
type	internship or job
url	Link to the listing
title, company	Role title and company name (the NGO tag Internshala shows next to some company names is not part of it)
companyLogoUrl	Logo link, null when the company has no logo
companyWebsite	Company website (details on)
activelyHiring	true when the card shows the "Actively hiring" badge
locations	Locations as listed, for example ["Pune"] or ["Work from home"]; when a listing has several cities the list page can show them as one text, for example ["Hyderabad, Thane, Bangalore"]
locationNote	Extra note on the location, for example Hybrid
cities, regions, country	City, state and country code from Internshala's structured data, when published
payText	Stipend or salary exactly as shown, for example ₹ 5,000 - 8,000 /month
salaryMin, salaryMax, salaryCurrency, salaryPeriod	Pay as numbers, for example 5000, 8000, INR, MONTH (period for example MONTH, WEEK or YEAR), when published
durationText	Internship duration, for example 6 Months
experienceText, experienceMonths	Experience for jobs as shown, and as a number of months when published
startDateText	Start date as shown, for example Immediately
applyByText, applyBy	Apply-by date as shown (10 Nov' 26) and as YYYY-MM-DD when published
datePosted, postedText	Exact posting date YYYY-MM-DD when published, and the relative text from the list page (1 week ago)
openings	Number of openings
skills, perks	Skills required and perks (certificate, flexible hours, ...)
partTime	true when the card is marked "Part time"
jobOfferText	For example Job offer upto ₹ 6LPA post internship
earlyApplicant	true when the card shows "Be an early applicant"
employmentType, industry, category	From Internshala's structured data, when published (for example INTERN, PART_TIME)
snippet	The short description shown on the list page
description, aboutCompany	The "About the internship/job" text and the company description (details on)
jsonLd	true when the listing had Internshala's structured data, false when it did not, null when details were not read
detailStatus	ok, failed (the detail page could not be read; the list-page fields are kept) or not_requested
sourceUrl	The listing page or listing URL that produced the row
scrapedAt	When the row was collected (ISO time)

Fields that exist only when Internshala publishes them (the structured data) are null otherwise; with includeDetails off every detail field is null or [] (the list page's skills stay). A single listing URL row has no list-page fields (snippet, postedText, durationText, experienceText, jobOfferText, companyLogoUrl, locationNote are null, and activelyHiring, earlyApplicant, partTime are null because they are only known from the list page).

Run summary

Every run that starts reading Internshala writes RUN_SUMMARY to the key-value store: complete, terminationReason (finished, max_results, charge_limit, time_budget, blocked or request_failed), rowsPushed, searchUrls, pages, details, detailFailed, jsonLdRows and requests. The FAILURES record lists every URL that could not be used and why (unsupported_input, no_listings, not_found, redirected, detail_unparsed, request_failed, blocked). A run that fails because its input holds nothing usable to read writes FAILURES only, no RUN_SUMMARY.

If the Apify platform moves a run to another server, the Actor carries on where it stopped: listings already in the dataset are not written (or charged) again, and the summary gets a restarts count. After such a restart rowsPushed still equals the number of rows in the dataset; requests, pages and the FAILURES list are counted from the last saved position, so they can be a little off for that run.

Speed, big runs and limits

• The Actor is polite: one request at a time, one every 2 seconds at most, never faster. Measured on the Apify platform at 512 MB memory: with details a listing took 3.3 to 3.8 seconds in three runs on 21 Oct 2026 and 3.8 to 4.4 seconds on 20 Oct (6.5 seconds in one slow hour), so plan on about 4 seconds: 50 listings take about 3 to 4 minutes and the default 200 about 11 to 15 minutes. Without details a list page took about 6.5 seconds (400 listings from 10 pages in 65 seconds on 21 Oct) and adds about 40 new listings (neighbouring pages repeat a few), so 1,000 listings take about 3 minutes. One listing page address is followed for at most 100 pages (about 4,000 listings); give several addresses for more.
• The 5,000 cap with details would take about 6 hours: raise the run timeout, or turn includeDetails off. The default 1-hour timeout fits about 800 to 1,000 listings with details. A run that is about to hit its timeout stops cleanly, keeps every row, and says time_budget in the summary.
• If Internshala answers with an access refusal (HTTP 403, 429, any other 4xx except "not found", or a challenge page), the Actor stops at once: rows already collected are kept, nothing is retried and no workaround is tried. The summary says blocked. If that happens before any row, the run fails with a message.
• Only public pages are read. The Actor does not collect applicant counts (Internshala shows them on its public pages), candidate data or recruiter contact details: e-mail addresses and phone numbers that appear in descriptions, snippets and company texts are replaced with [email redacted] and [phone redacted] (international and Indian mobile formats).
• Internshala is an India-focused board: stipends and salaries are mostly in INR and the listings are mostly in India.
• Redirects are never followed. An address that does not exist on Internshala is answered with a redirect to its main listing page; the Actor then returns no rows for it and lists it in FAILURES as redirected (with the Location), and nothing is charged.
• Page overlap is handled: Internshala's page 2 can repeat listings of page 1, each listing becomes one row.

Price

Pay per result, at the rate shown in the pricing panel of this page, plus a very small per-run start fee. You are charged only for the results delivered.

Unsupported inputs, pages with no listings and refused or failed listing pages produce no rows and are not charged. If a listing's detail page cannot be read or is refused, that listing is still returned with its list-page fields (detailStatus: failed) and counts as a result; a refusal also ends the run (see above).

Use cases

Internship and fresher-job market data, stipend benchmarks by skill or city, campus hiring pipelines, job aggregators and alerts (schedule the Actor daily), salary research for India, lists of hiring companies (company names and websites only).

Notes

Use the data in line with Internshala's terms and the law that applies to you. The Actor reads only what Internshala shows to any visitor.

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