# Internshala Internships & Jobs Scraper (`technicaldost/internshala-internships-jobs-scraper`) Actor

Scrape Internshala internships and fresher jobs by keyword, city or work from home: stipend or salary, duration, skills, company, posting age and link. New-listings-only mode for schedules.

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

## Pricing

from $0.50 / 1,000 job listings

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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 Internships & Jobs Scraper

Scrape **Internshala internships and fresher jobs** into clean, structured data: title, company, city,
**stipend or salary (parsed into numbers)**, duration, experience, skills, posting age and the listing
link. Search by keyword, city or work from home, and switch on **monitor mode** to get only listings you
have not seen before on every scheduled run.

Built for placement cells, edtech and career platforms, recruiters, job-alert bots and anyone tracking
the Indian internship market.

### What you get

- **Internships or jobs** from Internshala's public listing pages
- **Keyword + city** searches, for example *python* in *Bangalore*, or *work from home* only
- **Stipend / salary as numbers**: `₹ 15,000 - 25,000 /month` → `salaryMin 15000`, `salaryMax 25000`,
  `salaryCurrency INR`, `salaryPeriod month`
- **Skills, duration, experience, "actively hiring"-style labels** and an approximate `postedAt`
- **Monitor mode**: only new listings since your last run, so a daily schedule charges only for fresh ones
- Plain HTTP, no browser, no login, no cookies. Fast and cheap.

### Input

| Field | Description |
|---|---|
| `listingType` | `internships` (default) or `jobs` |
| `keywords` | Skills, roles or profiles, e.g. `python`, `data science`, `marketing`. One search each. Empty = latest listings |
| `cities` | Optional cities, e.g. `Bangalore`, `Delhi`. Each keyword is searched in each city |
| `workFromHome` | Only work-from-home listings |
| `maxItems` | Total listings to save (default 100) |
| `maxPagesPerSearch` | Pages per search, 40 listings per page (default 5) |
| `onlyNewJobs` | Monitor mode: return only listings not returned to you before for the same search |
| `monitorName` | Optional name for the monitor memory |

```json
{
  "listingType": "internships",
  "keywords": ["python", "data science"],
  "cities": ["Bangalore"],
  "maxItems": 200,
  "onlyNewJobs": true
}
```

### Output

One row per listing. Every Actor in this job-data family uses the same columns, so you can merge feeds.

```json
{
  "source": "internshala",
  "jobId": "3291167",
  "url": "https://internshala.com/internship/detail/software-development-engineering-web-internship-...",
  "title": "Software Development Engineering (Web)",
  "company": "LAVORO GROUP OF TECHNOLOGIES",
  "location": "Pune",
  "locations": ["Pune"],
  "country": "IN",
  "workArrangement": "onsite",
  "employmentType": "Internship · 4 Months",
  "salaryMin": 15000,
  "salaryMax": 25000,
  "salaryCurrency": "INR",
  "salaryPeriod": "month",
  "salaryText": "₹ 15,000 - 25,000 /month",
  "skills": ["Java", "PHP", "MySQL"],
  "categories": ["Job offer upto ₹ 6LPA post internship"],
  "summary": "As a Software Development Engineering (Web) intern at ...",
  "postedAt": "2026-09-18T11:22:37.440Z",
  "postedText": "Just now",
  "searchQuery": "python",
  "isNew": null,
  "scrapedAt": "2026-09-18T11:22:40.325Z"
}
```

`postedAt` is approximate because Internshala shows relative ages ("2 weeks ago"). A run summary is saved
to the key-value store as `SUMMARY`.

### Pricing

**$0.50 per 1,000 listings** ($0.0005 each), charged only for listings saved to your dataset.
Duplicates, errors and (in monitor mode) listings you already received are **never charged**. There is no custom start fee; Apify's standard
$0.00005 actor-start event applies once per run.

### Monitor mode: a daily internship feed

1. Set your keywords and cities, and turn on **Only new listings**.
2. Save it as a task and add a **daily schedule**.
3. Connect the dataset to Google Sheets, Slack, email or a webhook with Apify integrations.

Each run returns only listings you have not received before for that search. Seen IDs are kept in a
named key-value store `internshala-internships-jobs-scraper-seen` in your own account. Delete it to start
over.

### FAQ

**Does it need an Internshala account?** No. It reads the same public listing pages anyone can open.

**Why are some fields empty?** Internshala does not show every field for every listing, for example
salary on unpaid internships. Missing values are `null`.

**Is scraping Internshala allowed?** The Actor reads only public listing pages that Internshala's
robots.txt allows, at a polite pace, and never logs in or opens detail or application pages. Use the data
in line with Internshala's terms and applicable law.

### Related job-data Actors

- [Workday Jobs Scraper](https://apify.com/technicaldost/workday-jobs-scraper)
- [Remote Jobs Aggregator](https://apify.com/technicaldost/remote-jobs-aggregator)
- [Shine.com Jobs Scraper](https://apify.com/technicaldost/shine-jobs-scraper)
- [Cutshort Jobs Scraper](https://apify.com/technicaldost/cutshort-jobs-scraper)
- [iimjobs Jobs Scraper](https://apify.com/technicaldost/iimjobs-jobs-scraper)

# Changelog

This Actor's version history is a separate document: https://apify.com/technicaldost/internshala-internships-jobs-scraper/changelog.md

# Actor input Schema

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

Internships or fresher/entry-level jobs listed on Internshala.

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

Skills, roles or profiles to search, for example python, data science, marketing. One search per keyword. Leave empty for the latest listings.

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

Optional cities, for example Bangalore, Delhi, Mumbai. Each keyword is searched in each city. Ignored when Work from home is on.

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

Return only work-from-home listings.

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

Stop after this many listings in total. You pay only for listings saved to the dataset.

## `maxPagesPerSearch` (type: `integer`):

Each page holds up to 40 listings.

## `onlyNewJobs` (type: `boolean`):

Return and charge only listings this Actor has not returned to you before for the same search. Use on a schedule for a daily feed of fresh internships or jobs.

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

Optional name for the monitor-mode memory, so several schedules can share or separate their seen-listing lists. Defaults to one list per unique search.

## Actor input object example

```json
{
  "listingType": "internships",
  "keywords": [
    "python"
  ],
  "workFromHome": false,
  "maxItems": 20,
  "maxPagesPerSearch": 5,
  "onlyNewJobs": false
}
```

# Actor output Schema

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

No description

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

No description

# 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("technicaldost/internshala-internships-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("technicaldost/internshala-internships-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 technicaldost/internshala-internships-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,technicaldost/internshala-internships-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/RtS7ULB4b7KXaLQIT/builds/ewbPJeKzE9g1Bd1k6/openapi.json