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

Internshala Jobs & Internships Scraper SD - Internshala Jobs & Internships Scraper is a jobs data tool that extracts Internshala internships and jobs by keyword, category, city or URL: stipend, salary, skills, duration, applicants, openings and description.

- **URL**: https://apify.com/neuro-scraper/internshala-jobs-internships-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (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 $2.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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

./README.md

# Actor input Schema

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

What to scrape from Internshala: internships (internshala.com/internships), jobs (internshala.com/jobs) or fresher jobs (internshala.com/fresher-jobs). Start URLs keep their own type.

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

Internshala keyword search, e.g. "python", "web development", "Infosys". Several searches: one per line. Internshala's keyword search takes no other filter, so the filters below that a listing card shows (work from home, part time, stipend, salary, job offer, early applicant, duration) are applied to keyword results by this Actor; the others are not applied to keyword searches.

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

Internshala category (profile), e.g. "web development", "marketing", "data science", "content writing", "python django". Several categories: separate with commas - each is searched separately and duplicates are removed.

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

City, e.g. "bangalore", "delhi", "mumbai", "pune". Several cities: separate with commas - each is searched separately (with every category).

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

Only remote (work from home) listings - Internshala's own Work from home filter.

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

Only part-time listings - Internshala's own Part-time filter.

## `minStipend` (type: `integer`):

Internships: Internshala's "Desired minimum monthly stipend" filter, e.g. 5000. 0 = off.

## `minSalary` (type: `integer`):

Jobs: minimum yearly CTC, e.g. 400000 (= 4 lakhs). Sent as Internshala's "Annual salary (in lakhs)" filter (whole lakhs), then rows whose top salary is below the amount are dropped. 0 = off.

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

Jobs: Internshala's "Years of experience" filter. For jobs that need no experience choose the listing type "Fresher jobs".

## `maxDurationMonths` (type: `integer`):

Internships: Internshala's Duration filter (its menu offers 1, 2, 3, 4, 6, 12, 24, 36 months), e.g. 3. 0 = off.

## `withJobOffer` (type: `boolean`):

Internships: only internships with a job offer after the internship (Internshala's "Internships with job offer" filter).

## `fastResponse` (type: `boolean`):

Internships: only employers that respond fast (Internshala's Fast response filter).

## `earlyApplicant` (type: `boolean`):

Internships: only listings with few applicants so far (Internshala's "Be an early applicant" filter).

## `forWomen` (type: `boolean`):

Only listings that are also open to women (re)starting their careers (internshala.com/internships-for-women, /jobs-for-women).

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

Keeps listings by their posting age ("Today", "3 days ago", "2 weeks ago"). Internshala has no posting-date filter, so this is applied by the Actor while it pages; weeks and months are approximate.

## `startUrls` (type: `array`):

Internshala listing pages (e.g. https://internshala.com/internships/work-from-home-marketing-internships/, https://internshala.com/jobs/jobs-in-pune/) or detail pages (https://internshala.com/internship/detail/... or /job/detail/...). Listing pages are paged to the end.

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

Open each listing's detail page (one extra request per row) for the full description, start date, apply-by date, applicants, openings, perks, who can apply, other requirements, category, industry and the company profile.

## `maxResults` (type: `integer`):

Maximum listings for the whole run. The Actor follows Internshala's next-page link until this number or the last page.

## `maxPages` (type: `integer`):

Stop each search after this many result pages (Internshala shows 40-60 listings per page). 0 = no page limit.

## `monitorMode` (type: `boolean`):

Remembers the listings of earlier runs (named key-value store "internshala-monitor") and outputs only listings that are new or whose title, company, location, stipend/salary, duration or experience changed; the row says which in changeType. You pay only for those rows.

## `proxyConfiguration` (type: `object`):

Internshala answered every logged-out request without a challenge in tests; an Indian residential proxy is the default for steady runs on the Apify platform.

## Actor input object example

```json
{
  "listingType": "internship",
  "category": "web development",
  "workFromHome": false,
  "partTime": false,
  "minStipend": 0,
  "minSalary": 0,
  "experienceYears": "any",
  "maxDurationMonths": 0,
  "withJobOffer": false,
  "fastResponse": false,
  "earlyApplicant": false,
  "forWomen": false,
  "datePosted": "all",
  "startUrls": [],
  "includeDetails": false,
  "maxResults": 50,
  "maxPages": 0,
  "monitorMode": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}
```

# 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 = {
    "query": "",
    "category": "web development",
    "location": "",
    "startUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ],
        "apifyProxyCountry": "IN"
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/internshala-jobs-internships-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 = {
    "query": "",
    "category": "web development",
    "location": "",
    "startUrls": [],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
        "apifyProxyCountry": "IN",
    },
}

# Run the Actor and wait for it to finish
run = client.actor("neuro-scraper/internshala-jobs-internships-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 '{
  "query": "",
  "category": "web development",
  "location": "",
  "startUrls": [],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "IN"
  }
}' |
apify call neuro-scraper/internshala-jobs-internships-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/internshala-jobs-internships-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/glC2eVP4tvA4f2Reo/builds/ztJUapF1j3fV56dZW/openapi.json