# Internshala Scraper: Internships & Jobs with Applicants (`deriverge/internshala-jobs-scraper`) Actor

Scrape Internshala internships and jobs in India: stipend or salary as numbers, applicants and openings, applicants per opening, deadline, perks, eligibility, job offers after internship and company hiring history. Keywords, cities, remote. JSON, CSV, API.

- **URL**: https://apify.com/deriverge/internshala-jobs-scraper.md
- **Developed by:** [deriverge s.r.o.](https://apify.com/deriverge) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.20 / 1,000 listing returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Internshala Scraper: Internships and Jobs with Applicants per Opening

Export internships and jobs from **Internshala** (internshala.com), India's largest internship platform for students and freshers. Search by keywords and cities, or only remote or part-time listings, and get every listing with the **stipend or salary as numbers**, the **number of applicants and openings**, the **applicants per opening**, the **application deadline**, perks, eligibility, the **job offer after the internship** and the **company hiring history**. A watch name turns it into a daily alert for new listings.

You pay only for listings returned, from $0.20 per 1,000, with no start fee. The $5 of monthly credit in Apify's Free plan covers about 12,000 listings, so you can try it for free.

### Why use Internshala Scraper?

- **Applicants per opening in every row.** See at a glance where competition is light: 25 applicants for 20 openings beats 400 applicants for 2.
- **Pay as numbers.** Stipends and salaries in Indian lakh format become a minimum, a maximum and a period; unpaid internships are 0.
- **The whole listing.** Deadline, start date, duration, perks, who can apply, pay breakup, probation, job offer after the internship and the full description.
- **Company track record.** When the company started hiring on Internshala, how many listings it posted and how many candidates it hired.
- **Internships and jobs together.** One run covers both, with filters for cities, work from home, part time, fresher jobs, minimum salary and minimum stipend.
- **Alerts and no start fee.** New-only mode returns only listings you have not seen; you pay per listing only.

### What data does Internshala Scraper return?

| Field | What it contains |
|---|---|
| `title` | Profile or job title |
| `company` | Company |
| `category` | Category |
| `locations` | Cities or Work from home |
| `salaryMin` | Stipend or salary from |
| `salaryMax` | Stipend or salary to |
| `salaryPeriod` | Per month or year |
| `applicants` | Applicants |
| `openings` | Openings |
| `applicantsPerOpening` | Applicants per opening |
| `applyBy` | Deadline |
| `startDate` | Start date |
| `duration` | Internship duration |
| `experience` | Experience for jobs |
| `jobOfferMaxAnnual` | Job offer after internship |
| `perks` | Perks |
| `whoCanApply` | Eligibility |
| `skills` | Skills |
| `description` | Full description |
| `companyHiringSince` | Company hiring since |
| `companyCandidatesHired` | Candidates hired |
| `url` | Listing page |

Fields marked "With full details on" in the output schema come from the listing page; **Include full details** is on by default at no extra cost.

### Who uses Internshala Scraper?

- **Students and freshers:** find internships with few applicants per opening, good stipends and job offers, before the deadline.
- **Colleges and placement cells:** track which companies hire interns in your fields, and at what stipend.
- **Career platforms and job boards:** import Indian internships and fresher jobs with full details, refreshed daily.
- **HR and compensation analysts:** benchmark stipends and fresher salaries by city, category and company.
- **Researchers:** study the Indian internship market: demand by skill, pay, remote work and competition.

### How much does it cost to scrape Internshala listings?

You pay per result. There is no start fee and no charge for compute time or proxies.

| | Free plan | Starter | Scale | Business |
|---|---|---|---|---|
| 1,000 listings with full details | $0.40 | $0.32 | $0.26 | $0.20 |

For example, exporting 5,000 internships and jobs with full details costs $2.00 on the Free plan and $1.00 on the Business plan. The $5 of monthly credit in Apify's Free plan covers about 12,000 listings.

Listings removed by a filter, duplicates across searches and listings already returned in new-only mode are never charged.

### How to scrape Internshala listings

1. Click **Try for free** (or **Start** if you are signed in) to open the actor in Apify Console.
2. Pick **Internships or jobs** and type **Keywords**, for example "data science" or "marketing".
3. Optionally add **Cities**, or turn on **Work from home only** or **Part-time only**, and set a minimum stipend or salary.
4. For a daily alert, give the run a **Watch name**, turn on **Return only listings new since the last run** and schedule it.
5. Click **Start**. Rows appear in the **Output** tab within seconds.
6. Download the results as JSON, CSV, Excel or HTML, or read them through the API.

### Input example

```json
{
  "type": "internships",
  "keywords": [
    "data science",
    "python"
  ],
  "cities": [
    "Bangalore",
    "Pune"
  ],
  "minStipend": "10000",
  "maxItems": 500
}
```

### Output example

A real row from a run in September 2026 (long texts shortened). In the **Output** tab the **Overview** view shows the same data as a table.

```json
{
  "key": "internshala:3303105",
  "listingId": "3303105",
  "type": "internship",
  "title": "Artificial Intelligence (AI)",
  "url": "https://internshala.com/internship/detail/work-from-home-part-time-artificial-intelligence-ai-internship-at-cornixe1790423681",
  "company": "Cornixe",
  "companyUrl": "https://internshala.com/company/cornixe-1784618687",
  "companyLogo": null,
  "companyWebsite": "https://www.cornixe.in/",
  "category": "Artificial Intelligence (AI)",
  "locations": [
    "Work from home"
  ],
  "workFromHome": true,
  "workplace": "Remote",
  "officeDaysPerWeek": null,
  "partTime": true,
  "fresherJob": null,
  "salaryText": "₹ 6,000 - 20,000 /month",
  "salaryMin": 6000,
  "salaryMax": 20000,
  "salaryPeriod": "monthly",
  "salaryCurrency": "INR",
  "payBreakup": [
    "Fixed pay: ₹ 4,000 - 12,000 /month",
    "Incentive pay: ₹ 2,000 - 8,000 /month"
  ],
  "probationDuration": null,
  "probationSalary": null,
  "jobOfferText": "Job offer upto ₹ 5LPA post internship",
  "jobOfferMaxAnnual": 500000,
  "experience": null,
  "experienceYearsMin": null,
  "duration": "3 Months",
  "durationMonths": 3,
  "startDate": "Immediately",
  "applyBy": "2026-10-26",
  "postedText": "1 day ago",
  "postedAt": "2026-09-26",
  "applicants": 492,
  "applicantsText": "492 applicants",
  "openings": 20,
  "applicantsPerOpening": 24.6,
  "activelyHiring": true,
  "earlyApplicant": false,
  "skills": [
    "Artificial intelligence",
    "Data Science",
    "Data Structures",
    "Deep Learning",
    "Natural Language Processing (NLP)",
    "Neural Networks",
    "Python"
  ],
  "perks": [
    "Certificate",
    "Letter of recommendation",
    "Flexible work hours",
    "Job offer"
  ],
  "whoCanApply": [
    "are available for the work from home job/internship",
    "can start the work from home job/internship between 26th Sep'26 and 31st Oct'26",
    "are available for duration of 3 months",
    "have relevant skills and interests",
    "* Women wanting to start/restart their career can also apply."
  ],
  "otherRequirements": [
    "Engineering and management department students."
  ],
  "additionalInformation": "Stipend Structure:\nFixed pay: ₹ 4,000 - 12,000 /month\nIncentive pay: ₹ 2,000 - 8,000 /month\n\nJob offer:\nOn successful conversion to a permanent employee, the candidate can expect a salary of ₹ 300000 to 500000/year",
  "description": "Selected intern's day-to-day responsibilities include:\n\n1. Assist in collecting, cleaning, and preparing datasets for AI projects.\n2. Support the development and testing of AI/ML models under supervision.\n3. Perform data analysis to identify patterns and generate meaningful insights.\n4. Assist in training, evaluating, and improving machine learning models.\n5. Work with tools and frameworks such as Python, NumPy...",
  "aboutCompany": "At Cornixe, we believe that every student has a unique professional \"Vision\". Our role is to provide the empowerment to achieve it. Guided by elite professional trainers, Cornixe serves as the strategic backbone for the next generation of industry giants...",
  "companyHiringSince": "2026-07",
  "companyOpportunitiesPosted": 65,
  "companyCandidatesHired": null,
  "status": "active",
  "detailsIncluded": true,
  "searchQuery": "internships: \"python\"",
  "scrapedAt": "2026-09-27T12:25:13.184Z"
}
```

### Tips and limitations

- Sort by **applicantsPerOpening** to find listings where your application stands out.
- Internshala cannot combine part time with cities or work from home; the run log and the summary say when a filter was dropped, with the exact address searched.
- For filters the form does not have, set them on internshala.com and paste the address into **Search links**.
- Only the first page of a big search is needed for a quick look: set **Maximum listings** to 20 or 50.
- Names and contact details of recruiters are not collected.
- For jobs elsewhere in Asia and Australia, see our SEEK, JobStreet and JobsDB scrapers.

### Integrations and API

Connect the actor to **Make**, **Zapier**, **n8n**, **Google Sheets**, **Slack** or any webhook, or call it from your own code. With the Python client:

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")
run = client.actor("deriverge/internshala-jobs-scraper").call(run_input={"type": "internships", "keywords": ["marketing"], "workFromHome": true, "maxItems": 200})
for j in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(j["title"], j["company"], j["salaryText"], j["applicantsPerOpening"], j["url"])
```

The **API** tab on this page has the same call for Node.js and cURL, and AI agents can run the actor through the Apify MCP server.

### Is it legal to scrape Internshala?

The scraper reads internship and job listings that Internshala shows publicly to every visitor, at a moderate pace, and collects no personal data of recruiters or candidates. Listings are business information. Check the terms before republishing descriptions, and link back to the listing.

### FAQ

#### Does it cover all of India?

Yes. Leave Cities empty for all of India, or add the cities you want.

#### How many listings can I get?

All results of a search, page by page: Internshala has around 7,000 internships and 9,000 jobs at any time.

#### How fresh is the data?

Live: every run reads Internshala as it is at that moment, including the current applicant counts.

#### Do I need an Internshala account, proxies or an API key?

No.

### Related scrapers

- [Remote Jobs Scraper](https://apify.com/deriverge/remote-jobs-scraper): six remote job boards in one table
- [SEEK Jobs Scraper](https://apify.com/deriverge/seek-jobs-scraper): Australian and New Zealand jobs with salaries
- [Dice Jobs Scraper](https://apify.com/deriverge/dice-jobs-scraper): US tech jobs with salaries and skills
- [Foundit Jobs Scraper](https://apify.com/deriverge/foundit-jobs-scraper): India, Southeast Asia and Gulf jobs
- [Career Site Jobs Search](https://apify.com/deriverge/career-site-jobs-search): open jobs from company career sites
- [Career Site Jobs Scraper](https://apify.com/deriverge/greenhouse-lever-workday-jobs-scraper): fourteen applicant tracking systems in one table
- [Greenhouse Jobs Scraper](https://apify.com/deriverge/greenhouse-jobs-scraper): any Greenhouse job board
- [Lever Jobs Scraper](https://apify.com/deriverge/lever-jobs-scraper): any Lever careers page
- [Workday Jobs Scraper](https://apify.com/deriverge/workday-jobs-scraper): any myworkdayjobs career site

### Support and feedback

Missing a field or found something that does not work? Open an issue in the **Issues** tab and it will be answered, usually within a day. If the actor saves you time, a short review helps other people find it.

# Actor input Schema

## `type` (type: `string`):

What to collect. With both, each search runs for internships and for jobs.

## `keywords` (type: `array`):

What to search for, as in the Internshala search box: a profile, skill or company, for example "data science", "marketing" or "web development". Each keyword is its own search. Leave empty for all listings.

## `cities` (type: `array`):

Cities as Internshala writes them, for example Bangalore, Delhi, Mumbai, Pune, Hyderabad or Gurgaon. Each city is its own search. Leave empty for all of India.

## `workFromHome` (type: `boolean`):

Only remote internships and jobs. Internshala cannot combine this with cities, so cities are ignored when it is on.

## `partTime` (type: `boolean`):

Only part-time internships and jobs. Internshala cannot combine this with cities or work from home.

## `freshersOnly` (type: `boolean`):

For jobs: only jobs open to freshers (no experience required).

## `minSalaryLakhs` (type: `integer`):

For jobs: only jobs paying at least this many lakh rupees a year, from 1 to 10 (the highest filter Internshala offers).

## `minStipend` (type: `string`):

For internships: only internships paying at least this stipend per month.

## `searchUrls` (type: `array`):

Internshala search addresses with your filters, for example https://internshala.com/internships/work-from-home-data-science-internships/. Each link is its own search.

## `excludeKeywords` (type: `array`):

Drop listings whose title or company contains any of these, for example "sales" or "telecaller".

## `includeDetails` (type: `boolean`):

Opens each listing for applicants, openings, applicants per opening, deadline, start date, perks, who can apply, pay breakup, probation, job offer after the internship, category and company history. The price is the same; turn it off only for the fastest runs.

## `newOnly` (type: `boolean`):

Keeps a snapshot per watch name (or per saved task) and returns only listings that were not there before. Schedule it daily for an internship or job alert.

## `watchName` (type: `string`):

Name of the snapshot used by the new-only mode, for example "python-bangalore". Runs from a saved task get one automatically.

## `maxItems` (type: `integer`):

Hard cap on returned listings. When the cap is smaller than the results, every search gets an equal share.

## Actor input object example

```json
{
  "type": "both",
  "keywords": [
    "python"
  ],
  "workFromHome": false,
  "partTime": false,
  "freshersOnly": false,
  "minStipend": "0",
  "includeDetails": true,
  "newOnly": false,
  "maxItems": 20
}
```

# Actor output Schema

## `listings` (type: `string`):

One row per internship or job with pay, applicants, openings, deadline, perks, eligibility and company history.

## `summary` (type: `string`):

Listings returned per search, the exact Internshala address of each search, details read, dropped rows and warnings.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "python"
    ],
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("deriverge/internshala-jobs-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["python"],
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("deriverge/internshala-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "python"
  ],
  "maxItems": 20
}' |
apify call deriverge/internshala-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,deriverge/internshala-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/kKxVEaCE5cQEhb9d7/builds/0n7B10mhMqWCteKxj/openapi.json