Internshala Scraper

Internshala Scraper — internships and fresher jobs in India

Pulls live postings from Internshala, India's biggest internship and entry-level job board. No login, no cookies, no browser.

Every row comes back with the role, the company, the city, the stipend or salary with a flag saying what kind of figure it is, the duration, the apply-by date, the number of openings, the exact posted date, a work-from-home flag, the required skills, the perks and the eligibility rules.

On 2026-08-08 the site had 7,007 live internships and 8,663 live jobs. Both boards are reachable, in full, page by page.

---

What you get per posting

Three real rows, copied out of live runs:

Mobile App Testing | Shreyans Industries | Bangalore | ₹ 5,000 /month (fixed)
   | 1 Month | posted 2026-08-06 | apply by 2026-09-05 | 5 openings

Meta Ads Executive | EMIAC Technologies | Jaipur | ₹ 2,00,000 - 2,40,000 /year (range)
   | job, 1 year(s) experience | posted 2026-08-01 | apply by 2026-08-31 | 2 openings

Backend Development | Pledge India Foundation | Work from home | Unpaid (unpaid)
   | 2 Weeks | posted 2026-08-07 | apply by 2026-09-06 | 20 openings

---

About the stipend — read this before you trust the number

Internshala mixes several kinds of pay, and a scraper that flattens them into one "stipend" column is lying to you. Every row therefore carries stipendType.

Measured on two real runs of this actor on 2026-08-08 — 1,000 internships and 300 jobs:

An independent 1,050-internship / 530-job sample taken the same day landed within 0.5 points of every one of those figures, so this is the shape of the board, not a lucky page.

Two things follow from that:

1. Every posting states its own pay. There were no blanks in either sample. That is unusual for a job board and it is the main reason this data is worth having. 2. stipendIsEstimate is false on every row, and it always will be. Internshala publishes what the employer typed. It never invents a "salary estimate" the way some Western boards do, so there is no guessed figure hiding in this dataset. Filter on stipendType when you need only hard numbers: range and fixed together are 98.2% of internships and 100% of jobs.

Note that a range is a range. stipendMin and stipendMax differ on 87% of internship rows, so averaging stipendMin alone will understate the market.

---

Searching

You can drive it three ways, and mix them.

Keywords — searchQueries: ["python", "data science"]. Each one is walked separately.

Filters — category, city, work-from-home, part-time, minimum stipend, maximum duration, pre-placement offer, start date, women-only, international, early-applicant, fast-response. On the jobs board: minimum annual salary, experience band, fresher-only, and Internshala's "also show internships" toggle. They compose:

categories: ["computer science"], cities: ["bangalore","mumbai"],
workFromHome: true, maxDurationMonths: 3, minStipend: 5000

Pasted URLs — startUrls accepts any Internshala listing page (https://internshala.com/internships/work-from-home-computer-science-internships/) and any single posting (https://internshala.com/internship/detail/...). Listing URLs are walked page by page from wherever you pasted them.

Measured filter sizes on 2026-08-08, so you know what to expect:

---

Speed and limits

Real runs of this actor, all at the default 1,024 MB:

• A listing page is one request and returns 40–50 postings. Measured 430 ms per page from the

plain Apify container address; 60 pages in a row took 29.6 s and produced 2,400 rows with zero failures and no rate limiting.

• With Open each posting on (the default), each posting costs one extra request, measured at

84 ms per posting at concurrency 10. That is where applyBy, openings, the exact postedAt, startDateText, perks, eligibility, region and the full description come from.

• A single search runs out at Internshala's own last page. The unfiltered internships board ends at

page 176 (7,007 rows) and returns an empty page after that — there is no hidden ceiling and no silent row clamp. To go wider, use several keywords, cities or categories.

Field coverage, measured

From the 1,000-internship run and the 300-job run, percentage of rows where the field is filled:

What this does not do

• No applicant counts, no employer contact details, no candidate data. Internshala hides those

behind a student login and this actor never logs in.

• Multi-city postings carry no JSON-LD. Internshala only emits structured data for

single-location postings, so 17% of rows (169 of 1,000 internships, 52 of 300 jobs — always the "in multiple locations" ones) come back with postedAtIsExact: false, and with region, industry, employmentType and isPartTime null. Everything else on those rows, including applyBy and openings, is read out of the HTML and is still there.

• companyWebsite is missing about half the time. It only exists when the employer filled it

in. It is emitted when it is there and left null when it is not — never guessed.

• No expired postings. Internshala takes a posting down once its apply-by date passes; a pasted

URL for a dead posting returns an uncharged diagnostic row, not a charge.

• India only (plus the 85 international internships Internshala itself lists).
• Posted dates without the detail pass are approximate. With Open each posting off, the

board only says "2 days ago", so postedAt is derived from that and postedAtIsExact is false on every row.

Price

$0.0005 to start a run, then $0.34 per 1,000 postings. A flat rate — no volume tiers to unlock, no plan gates, and the same number on your first run as on your millionth. The start fee is small enough that short runs stay cheap too, not just large ones.

Sample rows, diagnostic rows, failed requests and empty searches are all uncharged. One charge per genuine posting, and nothing else. A run that returns nothing costs you the start fee alone.

---

FAQ

Is there an Internshala API? Not a public one. Internshala paginates its own listings over XHR — internships_ajax and jobs_ajax — and that is what this actor reads. It is the same data the website shows you, in JSON, without rendering a browser.

Do I need an Internshala account or a login? No. Every request in this actor is anonymous.

Can I scrape Internshala internships by city? Yes. cities: ["bangalore","delhi"] combines cities with OR, and it composes with category, work-from-home and every other filter.

Can I get remote / work-from-home internships only? Yes — workFromHome: true. 2,154 of the 7,007 live internships were work-from-home on 2026-08-08.

Does it return the stipend? Yes, on every row, and it says what kind of figure it is. 87% of internships quote a range, 11% a fixed monthly amount, 1.5% are unpaid. Nothing is estimated.

How do I get the application deadline? applyBy (ISO date) and applyByText (Internshala's own 5 Sep' 26 wording). Both need Open each posting to be on, which it is by default.

How many results can I get from one run? As many as the search has. A 1,000-row run finished in 107 seconds. The whole internships board — 7,007 rows — is reachable in one run; maxItems is the only cap, and it goes to 20,000.

What does it cost? $0.0005 per run plus $0.34 per 1,000 postings, flat — no volume tiers, no plan gates and no minimum spend.

Does it work outside India? Yes. The actor runs from Apify's own network and Internshala serves the same board regardless. An Indian residential exit and a US datacenter address were compared side by side and returned the same 40 postings, in the same order, with the same 7,007 total.

What is the difference between the internships board and the jobs board? Internships are short placements with a monthly stipend and a duration. Jobs are full-time fresher/early-career roles with an annual salary and an experience requirement. Set listing: "both" to walk both; every row carries a type field.