Internshala Internship Scraper

Returns: one row per Internshala internship or job with title, company, compensationText, locations, duration, applicants, validThrough and skills. Input: {"keyword": "python", "listingType": "internships", "maxItems": 50} Best for: internship and fresher job lead lists, stipend and salary research, tracking who is hiring in a city or category.

{
    "id": "3315801",
    "employmentType": "job",
    "title": "Artificial Intelligence (AI) Specialist",
    "company": "Smarth Technology",
    "locations": ["Mumbai"],
    "compensationText": "₹ 2,10,000 - 3,80,000 /year",
    "experience": "1 year(s)",
    "applicants": 60
}

What does Internshala Internship Scraper do?

Internshala Internship Scraper collects internship and job postings from Internshala, India's large internship and fresher job board. Give it a keyword (for example python or graphic design), a category and city (for example data-science in mumbai), the work-from-home filter, or any Internshala listing URL, and it returns one clean row per posting: role title, company, stipend or salary, locations, duration or required experience, when it was posted, the skills asked for, and the posting link.

By default it also opens each posting's own page and adds the details that the search results don't show: the number of applicants, the start date, the date posted and the application deadline, the number of openings, the salary as numbers with currency and period, the full skills list, the company's industry and website, Internshala's category for the role, and the full description text. All of it comes from public pages that load without logging in.

Use it as an Internshala scraper or an unofficial Internshala API for internship lead lists, stipend benchmarks by city and skill, monitoring new postings in a category, or feeding job data to an AI agent. Results export to JSON, CSV, Excel or XML, or come straight from the Apify API.

What data can you get from Internshala?

Field	Description	Example
id	Internshala posting ID, unique within a run	3315801
employmentType	internship or job	job
title	Role title	Artificial Intelligence (AI) Specialist
company	Hiring company or organisation	Smarth Technology
companyLogo	Logo image URL, null for the placeholder logo	https://internshala-uploads.internshala.com/logo%2F73hzfyzocib-56042.jpg.webp
activelyHiring	True when the card shows the "Actively hiring" badge	true
locations	Location names, or "Work from home"	["Thane", "Navi Mumbai", "Mumbai"]
isWorkFromHome	True when one location is "Work from home"	false
compensationText	Stipend or salary as shown	₹ 2,10,000 - 3,80,000 /year
duration	Internship duration (null for jobs)	1 Month
experience	Required experience for jobs (null for internships)	1 year(s)
postedAgo	Relative posting time	2 days ago
tags	Extra labels such as "Part time"	["Part time"]
listSkills	Skills shown on the search card	["HTML", "Python", "SQL"]
sourceUrl	Posting page URL	https://internshala.com/job/detail/...
applicantsText	Applicant count as shown	1000+ applicants
applicants	Applicant count as a number	1000
startDate	Start date as shown	Immediately
datePosted	Date posted	2026-10-14
validThrough	Application deadline	2026-11-13 23:59:59
openings	Number of openings	6
salaryMin	Lower salary or stipend bound	210000
salaryMax	Upper salary or stipend bound	380000
salaryCurrency	Currency code	INR
salaryUnit	Salary period	YEAR
skills	Full skills list from the posting page	["Artificial intelligence"]
industry	Company industry	Entertainment
category	Internshala category of the role	Artificial Intelligence (AI)
companyWebsite	Company website, when listed	http://salesforce.com
description	Full posting text as plain text	About the job: As an AI Specialist ...
searchUrl	Listing page the posting was found on	https://internshala.com/jobs/data-science-jobs-in-mumbai/
scrapedAt	When the record was scraped (UTC)	2026-10-17T00:16:09.449Z

The fields from applicantsText to description come from the posting page and are null when includeDetails is false. Internshala doesn't publish structured posting data on every page (multi-location jobs often lack it); on those pages the date, salary-number, industry, category and website fields stay null, while the listing fields, applicants, start date, openings and skills are still filled.

How to use Internshala Internship Scraper

1. Open Internshala Internship Scraper in Apify Console and go to the Input tab.
2. Choose what to search. Type a keyword such as python, or leave the keyword empty and set a category (data-science), a city (mumbai) or switch on "Work from home only". To scrape a page you already have open on Internshala, paste its URL into "Listing URLs" instead.
3. Pick "Internships" or "Jobs" in "Internships or jobs".
4. Set "Maximum results". The run stops as soon as that many postings are saved.
5. Keep "Include detail page fields" on for applicants, dates, openings, salary numbers and descriptions, or switch it off for a faster run with listing fields only.
6. Click Start. When the run finishes, open the Output tab and export the dataset as JSON, CSV, Excel or XML.

Tips:

1. Keyword search takes free text. Multi-word keywords work: graphic design becomes Internshala's keywords-graphic-design search.
2. Category and city use Internshala's URL slugs. If a slug doesn't exist, Internshala quietly redirects to a broader list; the run log warns when that happens so you can fix the slug.
3. Search pages hold about 40 to 60 postings each, and the scraper follows page-2/, page-3/ and so on until it has maxItems results or the listing ends.
4. Internshala usually works without a proxy. If a run reports blocked or rate-limited requests, switch on Apify Proxy in the Proxy section.

Input

Field	Type	Required	Description
keyword	string	No	Free-text search, e.g. python. When set, category, city and work from home are ignored.
listingType	string	No	internships (default) or jobs.
category	string	No	Category slug, e.g. data-science, marketing, content-writing.
city	string	No	City slug, e.g. bangalore, mumbai, pune. Ignored with work from home.
workFromHome	boolean	No	Only remote postings, optionally within the category. Default false.
startUrls	array	No	Internshala listing URLs (any /internships/... or /jobs/... page) or single posting URLs. When given, the fields above are ignored.
locationKeywords	string array	No	Match any location substring, case-insensitive, up to 20; default empty.
workFromHomeOnly	boolean	No	Require isWorkFromHome: true, including keyword searches and URLs; default false.
partTimeOnly	boolean	No	Require a Part time tag; default false.
includeDetails	boolean	No	Open each posting page for the detail fields. Default true.
maxItems	integer	No	Maximum number of postings across all targets, 1-10000, default 50.
proxyConfiguration	object	No	Proxy settings. Default: no proxy.

With no keyword, category, city or URL at all, the scraper returns the newest postings of the chosen listing type.

Example: Python internships, 50 results with details.

{
    "keyword": "python",
    "listingType": "internships",
    "maxItems": 50,
    "includeDetails": true
}

Example: data science jobs in Mumbai.

{
    "listingType": "jobs",
    "category": "data-science",
    "city": "mumbai",
    "maxItems": 100
}

Example: a listing URL copied from the browser.

{
    "startUrls": [
        { "url": "https://internshala.com/internships/work-from-home-content-writing-internships/" }
    ],
    "maxItems": 60
}

The optional result filters work with every target form. For example, {"keyword":"python","workFromHomeOnly":true,"partTimeOnly":true,"maxItems":7} returns up to seven remote, part-time Python postings. locationKeywords matches any supplied substring against locations; the remote and part-time switches must also match when enabled. Filtering happens before detail requests, saving those requests for matching postings. Pagination continues past pages with no matching rows, until the source ends or the shared result limit is reached. Narrow filters can return fewer results. All three options are off by default.

Output

Each posting is one dataset item. Two real records from a local run (descriptions shortened):

[
    {
        "id": "3318726",
        "employmentType": "internship",
        "title": "Data Analytics",
        "company": "Basti Ki Pathshala Foundation",
        "companyLogo": "https://internshala-uploads.internshala.com/logo%2F73hzfyzocib-56042.jpg.webp",
        "activelyHiring": true,
        "locations": ["Work from home"],
        "isWorkFromHome": true,
        "compensationText": "Unpaid",
        "duration": "1 Month",
        "experience": null,
        "postedAgo": "Today",
        "tags": ["Part time"],
        "listSkills": ["HTML", "Python", "SQL", "Data Analytics", "MS-Excel", "Data Science", "Power BI"],
        "sourceUrl": "https://internshala.com/internship/detail/work-from-home-data-analytics-internship-at-basti-ki-pathshala-foundation1792146175",
        "applicantsText": "101 applicants",
        "applicants": 101,
        "startDate": "Immediately",
        "datePosted": "2026-10-16",
        "validThrough": "2026-11-15 23:59:59",
        "openings": 20,
        "salaryMin": null,
        "salaryMax": null,
        "salaryCurrency": null,
        "salaryUnit": null,
        "skills": ["HTML", "Python", "SQL", "Data Analytics", "MS-Excel", "Data Science", "Power BI", "Tableau"],
        "industry": "Education",
        "category": "Data Analytics",
        "companyWebsite": null,
        "description": "About the internship: Are you a data-savvy individual looking to make a real impact? Join us at Basti Ki Pathshala Foundation as a Data Analytics intern! ...",
        "searchUrl": "https://internshala.com/internships/keywords-python/",
        "scrapedAt": "2026-10-17T00:15:46.487Z"
    },
    {
        "id": "3315801",
        "employmentType": "job",
        "title": "Artificial Intelligence (AI) Specialist",
        "company": "Smarth Technology",
        "companyLogo": null,
        "activelyHiring": false,
        "locations": ["Mumbai"],
        "isWorkFromHome": false,
        "compensationText": "₹ 2,10,000 - 3,80,000 /year",
        "duration": null,
        "experience": "1 year(s)",
        "postedAgo": "2 days ago",
        "tags": [],
        "listSkills": ["Artificial intelligence"],
        "sourceUrl": "https://internshala.com/job/detail/artificial-intelligence-ai-specialist-job-in-mumbai-at-smarth-technology1791962807",
        "applicantsText": "60 applicants",
        "applicants": 60,
        "startDate": "Immediately",
        "datePosted": "2026-10-14",
        "validThrough": "2026-11-13 23:59:59",
        "openings": 6,
        "salaryMin": 210000,
        "salaryMax": 380000,
        "salaryCurrency": "INR",
        "salaryUnit": "YEAR",
        "skills": ["Artificial intelligence"],
        "industry": "Entertainment",
        "category": "Artificial Intelligence (AI)",
        "companyWebsite": null,
        "description": "About the job: As an AI Specialist at our cutting-edge Smart Technology company, you'll be at the forefront of revolutionizing the way we interact with technology. ...",
        "searchUrl": "https://internshala.com/jobs/data-science-jobs-in-mumbai/",
        "scrapedAt": "2026-10-17T00:16:09.449Z"
    }
]

The Output tab's Overview shows the most useful columns (title, company, type, locations, stipend or salary, duration, experience, posted, applicants, dates and link); the full dataset has every field above. Download it as JSON, CSV, Excel, XML or RSS, or read it with the API.

How much does it cost to scrape Internshala?

Internshala Internship Scraper is charged per result. You pay only for the postings returned, and maxItems caps how many that can be. Detail pages are included in the per-result charge: switching includeDetails off makes runs faster but doesn't change what a result costs. See the Pricing tab for the current price.

If you set a maximum cost per run in the run options, the scraper stops cleanly when that budget is used up and keeps everything it saved so far.

Use with AI agents (MCP)

Connect Internshala Internship Scraper to Claude, Cursor or any MCP client through the Apify MCP server:

{
    "mcpServers": {
        "apify": {
            "url": "https://mcp.apify.com/?tools=axiomworks/internshala-internships-scraper"
        }
    }
}

Example prompts:

1. "Find 30 Python internships on Internshala and list the ones with a stipend above 10,000 a month."
2. "Get data science jobs in Mumbai from Internshala and summarise the salary ranges and required experience."
3. "Which companies are hiring work-from-home content writing interns on Internshala this week? Give me titles, stipends and deadlines."

The agent sees the input fields and their descriptions, so it can pick a keyword, a category and city, or a listing URL by itself.

Integrations and API

Run Internshala Internship Scraper from your own code with the Apify API. Set APIFY_TOKEN to your Apify API token (send it in the Authorization header, never in the URL).

Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("axiomworks/internshala-internships-scraper").call(
    run_input={"keyword": "python", "listingType": "internships", "maxItems": 50}
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["company"], item["compensationText"])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('axiomworks/internshala-internships-scraper').call({
    listingType: 'jobs',
    category: 'data-science',
    city: 'mumbai',
    maxItems: 50,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

cURL

curl -X POST "https://api.apify.com/v2/acts/axiomworks~internshala-internships-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keyword": "python", "listingType": "internships", "maxItems": 20}'

You can also schedule runs (for example every morning for new postings in your category) and send results to Google Sheets, Make, Zapier, n8n, Slack or a webhook from the Integrations tab.

FAQ

How many postings can I get? Up to 10,000 per run with maxItems. In practice you get as many as Internshala lists for your search: a popular keyword such as python has a few hundred internships, while a niche category in a small city may have a handful.

Why did my run return 0 results? The keyword, category or city has no postings right now, or the URL isn't an Internshala listing page. The run still ends successfully and the status message says so. Try a broader keyword, drop the city, or open the URL in a browser to check it shows postings.

Why do some records have null dates, salary numbers or industry? Those fields come from structured data that Internshala adds to most posting pages but not all (multi-location jobs often lack it). Unpaid postings can also omit the entire salary object, leaving salaryCurrency and salaryUnit null. Missing dates, currency, units, industry and category are not inferred from nearby text. Listing fields, applicants, start date, openings and skills are still filled where the page shows them. With includeDetails set to false all detail fields are null.

What is the difference between listSkills and skills? listSkills is what the search card shows, which is cut to about seven skills with "+N more". skills is the full list from the posting page.

Can I scrape a single posting? Yes. Put the posting URL (https://internshala.com/internship/detail/... or https://internshala.com/job/detail/...) in "Listing URLs" and the run returns that one posting.

Do I need an Internshala account or a proxy? No account: the scraper reads public pages only. Internshala normally answers without a proxy; if you see blocked or rate-limited requests in the log, switch on Apify Proxy.

How fresh is the data? Every run reads Internshala live, so results are as current as the site at run time. postedAgo, datePosted and scrapedAt tell you how old each posting is.

Is it legal to scrape Internshala?

Internshala Internship Scraper reads only publicly available pages that anyone can open without logging in, and it requests them at a modest rate. Postings can include company names and other business details; if you store or process personal data, you are responsible for following the laws that apply to you, such as GDPR or India's DPDP Act, and Internshala's terms. This is not legal advice; ask a lawyer if you are unsure about your use case.

Internshala Internship Scraper is an independent tool. It is not affiliated with, endorsed by or sponsored by Internshala.

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