# Internshala Jobs Scraper — India Job Portal API (`promising_fire/internshala-jobs-scraper`) Actor

Scrape job listings from Internshala — internships and fresher jobs portal. Extract job title, company, location, salary, skills, and apply links.

- **URL**: https://apify.com/promising\_fire/internshala-jobs-scraper.md
- **Developed by:** [Bhaskar Pandey](https://apify.com/promising_fire) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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 Jobs Scraper

Scrape job listings from [Internshala](https://internshala.com/jobs) — internships and fresher jobs portal in India.

### What it extracts

- Job title
- Job URL
- Job ID

> Note: Internshala's search pages show limited data in the listing. Full details (company, salary, skills) require visiting individual job detail pages.

### Input

```json
{
  "searchQueries": ["software engineer", "data scientist"],
  "locations": ["bangalore", "mumbai"],
  "maxJobs": 100,
  "maxPages": 50,
  "proxyConfiguration": {}
}
```

### Output

```json
{
  "record_type": "job",
  "job_id": "1787548787",
  "job_title": "Junior Lawyer",
  "company_name": "",
  "location": "",
  "salary": "",
  "skills": [],
  "job_url": "https://internshala.com/job/detail/junior-lawyer-job-in-pune-at-cns-juris1787548787",
  "source_page": 1,
  "source_query": "software engineer",
  "source_location": "bangalore"
}
```

### Tech

- Python 3.14 + Playwright (headless)
- Crawlee (PlaywrightCrawler)
- Apify Actor runtime
- Data source: JSON-LD schema.org/ItemList

### Notes

Internshala embeds job listings in JSON-LD structured data (`schema.org/ItemList`). The scraper extracts data directly from this, making it fast and reliable.

# Actor input Schema

## `searchQueries` (type: `array`):

Job titles or keywords to search for on Internshala

## `locations` (type: `array`):

Limit results to specific Indian cities

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

Experience requirement in years

## `maxJobs` (type: `integer`):

Stop crawling after this many jobs per query

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

Stop after scraping this many pages per query

## Actor input object example

```json
{
  "searchQueries": [
    "software engineer"
  ],
  "locations": [
    "bangalore"
  ],
  "experience": "",
  "maxJobs": 100,
  "maxPages": 50
}
```

# Actor output Schema

## `records` (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 = {
    "searchQueries": [
        "software engineer"
    ],
    "locations": [
        "bangalore"
    ],
    "maxJobs": 100,
    "maxPages": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("promising_fire/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 = {
    "searchQueries": ["software engineer"],
    "locations": ["bangalore"],
    "maxJobs": 100,
    "maxPages": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("promising_fire/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 '{
  "searchQueries": [
    "software engineer"
  ],
  "locations": [
    "bangalore"
  ],
  "maxJobs": 100,
  "maxPages": 50
}' |
apify call promising_fire/internshala-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,promising_fire/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/joBhNhHoRg745KTFG/builds/r35vuN7DFGSNeqmkD/openapi.json