# Internshala Jobs & Internships Exporter (`fetch_cat/internshala-jobs-scraper`) Actor

Export public Internshala internship and fresher-job listings with normalized job, company, compensation, skills, and deadline fields.

- **URL**: https://apify.com/fetch\_cat/internshala-jobs-scraper.md
- **Developed by:** [Hanna Nosova](https://apify.com/fetch_cat) (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 $1.44 / 1,000 listing exporteds

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Internshala Scraper: Jobs & Internships Exporter

Export public internship and fresher-job listings from Internshala into a structured dataset for recruiting research, job-market mapping, and compensation analysis. This **Internshala scraper** returns listing identity, employer, location, skills, compensation, deadlines, and canonical listing links from public pages.

It is designed for teams that need a repeatable export rather than manual copying. Use a keyword or a public Internshala board URL, choose a small or large result cap, and receive one normalized row per unique listing. It also works as an **Internshala jobs scraper** for research into **internship listings India** teams need to monitor.

### Who is it for

- **Recruiting teams** monitoring public internship and entry-level hiring activity.
- **Talent-market researchers** comparing employers, locations, skills, and compensation.
- **Operations and analytics teams** building a recurring public-listing dataset.
- **Agents and developers** that need Internshala listings in an API-ready format.

### What you get

Each dataset item represents one public Internshala listing. Core fields include:

- `listingId`, `listingType`, `title`, `company`, and `canonicalUrl`
- `location`, `isWorkFromHome`, `isPartTime`, `activelyHiring`, and `earlyApplicant`
- `skills`, `durationText`, `durationMonths`, `experienceText`, and `startDate`
- `compensationText`, normalized INR compensation fields, and `isUnpaid`
- `applyBy`, `postedAt`, `numberOfOpenings`, and `companyLogoUrl`
- Public description and company context when available

### Input recipes

Start with a small export:

```json
{
  "listingType": "job",
  "startUrls": [{ "url": "https://internshala.com/jobs/" }],
  "maxResults": 10,
  "includeDetails": true
}
```

For internship listings without optional detail enrichment:

```json
{
  "listingType": "internship",
  "maxResults": 10,
  "includeDetails": false
}
```

### Input settings

| Input | What it controls |
| --- | --- |
| `query` | Optional public-board keyword query. |
| `listingType` | `job` or `internship`; used when generating a public board URL. |
| `startUrls` | One or more public Internshala jobs or internships URLs. |
| `maxResults` | Maximum number of unique listings to export (1–100). |
| `includeDetails` | Adds available public listing-detail fields. |
| `category` | Optional public-board category filter. |
| `location` | Optional public-board location filter. |
| `workFromHome` | Restricts generated searches to work-from-home listings. |
| `partTime` | Restricts generated searches to part-time listings. |
| `minCompensation` | Optional minimum displayed compensation filter. |
| `durationMonths` | Optional internship duration filter. |
| `incrementalMode` | Keeps stable identity and content-hash fields useful for change tracking. |

### Output example

```json
{
  "listingId": "public-listing-id",
  "listingType": "job",
  "title": "Business Development Associate",
  "company": "Example Company",
  "location": "Bengaluru",
  "skills": ["Sales", "Communication"],
  "compensationText": "₹ 3,00,000 - 5,00,000 /year",
  "compensationMinInr": 300000,
  "compensationMaxInr": 500000,
  "applyBy": "2026-09-15",
  "canonicalUrl": "https://internshala.com/job/detail/...",
  "detailFetched": true
}
```

### Output fields

| Group | Fields |
| --- | --- |
| Identity and provenance | `listingId`, `listingType`, `canonicalUrl`, `sourceUrl`, `searchUrl`, `scrapedAt`, `contentHash` |
| Employer and location | `company`, `companyLogoUrl`, `location`, `isWorkFromHome`, `isPartTime`, `activelyHiring`, `earlyApplicant` |
| Listing content | `title`, `skills`, `description`, `aboutCompany`, `durationText`, `durationMonths`, `experienceText`, `startDate`, `numberOfOpenings`, `applyBy`, `postedAt`, `detailFetched` |
| Compensation | `compensationText`, `compensationMinInr`, `compensationMaxInr`, `compensationCurrency`, `compensationUnit`, `isUnpaid` |

### Use cases

- Build a weekly internship and fresher-job market tracker.
- Identify employers hiring for a skill, city, or work-from-home role.
- Compare public compensation and duration patterns across listings.
- Feed public job opportunities into an internal recruiting or research workflow.

### Pricing and limits

You are charged for a run start and each exported public listing. See the current [Pricing tab](https://apify.com/fetch_cat/internshala-jobs-scraper/pricing) before starting a run.

- Only public `https://internshala.com` listing and search URLs are accepted.
- `maxResults` is capped at 100 unique listings per run.
- A listing card is retained when optional public detail fields are unavailable.
- Results reflect public page availability at run time.
- This Actor does not apply for jobs, sign in, or return private candidate data.

### API usage

Run the Actor with the same JSON used in the input recipes. The default dataset contains the exported rows.

#### Node.js

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

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/internshala-jobs-scraper').call({
  listingType: 'job',
  maxResults: 10,
  includeDetails: true,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("fetch_cat/internshala-jobs-scraper").call(run_input={
    "listingType": "internship",
    "maxResults": 10,
    "includeDetails": False,
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)
```

#### cURL

```bash
curl "https://api.apify.com/v2/acts/fetch_cat~internshala-jobs-scraper/runs?token=$APIFY_TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"listingType":"job","maxResults":10,"includeDetails":true}'
```

### MCP and agent use

Add Apify MCP to a supported client, scoped to this Actor:

```bash
claude mcp add --transport http apify https://mcp.apify.com/?tools=fetch_cat/internshala-jobs-scraper
```

Or use this JSON configuration:

```json
{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=fetch_cat/internshala-jobs-scraper"
    }
  }
}
```

Example prompts:

- “Export 20 public Internshala internship listings with compensation and deadlines.”
- “Find public fresher-job listings on Internshala and return company, location, skills, and apply-by date.”

### Tips for reliable exports

- Begin with 5–10 results to confirm your filters return the right public board.
- Use a public board URL in `startUrls` when you need an exact page context.
- Enable `includeDetails` when description and company context matter to your analysis.
- Use `listingId`, `canonicalUrl`, and `contentHash` to deduplicate or monitor changes across runs.

### FAQ

**What data can I export with internshala scraper?** Available public fields include title, employer, location, skills, compensation, duration, deadline, listing link, and optional description/company context.

**Can I export internships?** Yes. Set `listingType` to `internship` or provide a public Internshala internships URL.

**Can I run Internshala Jobs & Internships Exporter through an API, schedule, or MCP client?** Yes. Use the same input JSON through the Apify API, a scheduled run, or the MCP tool configuration above.

**How much does it cost to use Internshala Jobs & Internships Exporter?** The [Pricing tab](https://apify.com/fetch_cat/internshala-jobs-scraper/pricing) shows the current per-run and per-listing rates before you run it.

**What are the alternatives?** For other public job sources, see the related Actors below. They have different source coverage and input contracts.

**Why can optional fields be null?** Public cards and detail pages do not expose every fact for every listing. The Actor preserves the listing row and reports the available public values.

### Related Actors

- [Career Page Job Postings Scraper](https://apify.com/fetch_cat/career-page-job-postings-scraper)
- [LinkedIn Jobs Scraper](https://apify.com/fetch_cat/linkedin-jobs-scraper)
- [Naukri Jobs Scraper](https://apify.com/fetch_cat/naukri-naukrigulf-jobs-scraper)
- [Google Jobs Scraper](https://apify.com/fetch_cat/google-jobs-scraper)
- [Indeed Jobs Scraper](https://apify.com/fetch_cat/indeed-jobs-scraper)

### Support

Report a reproducible public URL, input, and run ID through the Actor’s Issues tab. Do not include account credentials or private applicant information.

# Actor input Schema

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

Optional public Internshala keyword search.

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

Choose the public Internshala board to search.

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

Optional Internshala jobs or internships search URLs. These override the generated search.

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

Maximum unique public listings to export.

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

Enrich each listing from its public detail page.

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

Keep listings whose public title, company, description, or skills contain this category.

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

Keep listings whose public location contains this value.

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

Keep only listings marked work from home on the public board.

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

Keep only listings marked part time on the public board.

## `minCompensation` (type: `integer`):

Keep listings whose public maximum (or only) compensation is at least this INR amount.

## `durationMonths` (type: `integer`):

Keep internships whose public duration equals this number of months.

## `incrementalMode` (type: `boolean`):

After the first run for the same search settings, export only listings whose public content changed or is new.

## Actor input object example

```json
{
  "listingType": "job",
  "startUrls": [
    {
      "url": "https://internshala.com/jobs/"
    }
  ],
  "maxResults": 5,
  "includeDetails": true,
  "workFromHome": false,
  "partTime": false,
  "minCompensation": 0,
  "incrementalMode": false
}
```

# Actor output Schema

## `overview` (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 = {
    "listingType": "job",
    "startUrls": [
        {
            "url": "https://internshala.com/jobs/"
        }
    ],
    "maxResults": 5,
    "includeDetails": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("fetch_cat/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 = {
    "listingType": "job",
    "startUrls": [{ "url": "https://internshala.com/jobs/" }],
    "maxResults": 5,
    "includeDetails": True,
}

# Run the Actor and wait for it to finish
run = client.actor("fetch_cat/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 '{
  "listingType": "job",
  "startUrls": [
    {
      "url": "https://internshala.com/jobs/"
    }
  ],
  "maxResults": 5,
  "includeDetails": true
}' |
apify call fetch_cat/internshala-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fetch_cat/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/h7AYliBS3yNIe2RPF/builds/K4rg9afMmUyyB7lT1/openapi.json