# Internshala Scraper — Internships & Jobs, 24 Fields (`themineworks/internshala-jobs-scraper`) Actor

Scrape Internshala.com internships and fresher jobs: title, company, stipend/salary, duration, skills, location, work-from-home. Filter by keyword, category, city, stipend and duration. No login, no browser, pay per listing. Use it as an MCP server in Claude, ChatGPT & any AI agent.

- **URL**: https://apify.com/themineworks/internshala-jobs-scraper.md
- **Developed by:** [The Mine Works](https://apify.com/themineworks) (community)
- **Categories:** Jobs, Lead generation, MCP servers
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 listing scrapeds

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/platform/actors/running/actors-in-store#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: Internships, Fresher Jobs & Stipends

### Overview

Internshala is India's dominant internship and early-career job platform — the first stop for students and freshers looking for a paid internship, a work-from-home gig, or an entry-level job. This actor turns any Internshala search into structured data: title, company, stipend or salary, duration, required skills, location, and posting date, delivered as clean JSON rows.

Search by free-text keyword (`digital marketing`, `python`), category (`computer-science`, `content-writing`), city, or work-from-home — filter by minimum stipend and maximum duration — and get every matching listing without touching Internshala's HTML. No login, no captcha, no browser: the actor calls the same JSON endpoint Internshala's own search page uses internally, so results are exactly what a real visitor would see.

✅ No login required | ✅ No browser / anti-bot friction | ✅ Pay per listing returned | ✅ MCP-ready for AI agents

### Features

**Keyword & category search.** Query any role, skill, or Internshala profile category — each keyword is searched separately and results are merged and deduplicated.

**Three listing boards.** Internships, regular jobs, and fresher jobs — Internshala runs all three on the same search infrastructure, and this actor covers all three via the `employmentType` input.

**Real filters, server-side.** Location, work-from-home, part-time, minimum stipend/salary, and maximum internship duration are all applied by Internshala's own servers, not filtered after the fact from a partial scrape.

**Stipend & salary parsed to numbers.** Raw strings like `₹ 10,000 - 15,000 /month` or `Unpaid` are parsed into `compensation_min_inr`, `compensation_max_inr`, `compensation_unit`, and `is_unpaid` so you can sort and filter compensation directly.

**Deep pagination.** Internshala's paginated result set is followed to the end within your `maxResults` budget, with duplicate-listing and stalled-page protection so a run never spins on a repeating page.

### How it works

Internshala's own search page loads results through a plain JSON AJAX endpoint (`/internships_ajax/`, `/jobs_ajax/`, `/fresher-jobs_ajax/`) that returns an HTML fragment of listing cards plus pagination flags. This actor calls that same endpoint directly with a plain HTTP GET — no browser, no session warm-up, no residential proxy required, because no anti-bot challenge was found anywhere in the search or pagination flow during testing.

Filters compose as URL path segments exactly the way Internshala's own front-end builds them (verified against the site's own search JavaScript): `keywords-<term>`, `category-<slug>`, `location-<city>`, `work_from_home-true`, `part_time-true`, `stipend-<amount>`, `duration-<months>`. Any combination can be requested at once, and the actor walks pages until Internshala reports `is_last_page: true` or your `maxResults` budget is reached, whichever comes first.

### 🧾 Input configuration

```json
{
  "searchKeywords": ["digital marketing"],
  "employmentType": "internship",
  "location": "bangalore",
  "workFromHome": false,
  "stipendMin": 5000,
  "durationMaxMonths": 3,
  "maxResults": 100
}
```

| Field | Description |
| --- | --- |
| `searchKeywords` | Array of free-text keywords. Leave empty to browse by category/location/filters only. |
| `employmentType` | `internship` (default), `job`, or `fresher_job` — which Internshala board to search. |
| `category` | Internshala profile/category slug, e.g. `computer-science`, `digital-marketing`, `content-writing`. |
| `location` | City name, e.g. `bangalore`, `mumbai`. Leave blank for all locations. |
| `workFromHome` | Only return remote / work-from-home listings. |
| `partTime` | Only return part-time listings. |
| `stipendMin` | Minimum monthly stipend (internships) or annual salary (jobs) in INR. |
| `durationMaxMonths` | Internships only — cap on internship duration in months. |
| `maxResults` | Maximum listings to return across all keywords. Hard cap 1000. |
| `includeDescription` | Include the full description text (default: truncated to 400 characters). |
| `monitorMode` | Deliver only listings not seen in a previous run — see below. |
| `proxyConfiguration` | Apify proxy config. Default Apify proxy works; no residential proxy needed. |

### 📤 Output format

```json
{
  "listing_id": "3226637",
  "employment_type": "internship",
  "title": "Digital Marketing",
  "company": "Sanyukt Organisation",
  "actively_hiring": true,
  "location": "Work from home",
  "work_from_home": true,
  "compensation_text": "₹ 9,000 - 10,000 /month",
  "compensation_min_inr": 9000,
  "compensation_max_inr": 10000,
  "compensation_unit": "month",
  "is_unpaid": false,
  "duration_text": "6 Months",
  "duration_months": 6,
  "skills": ["Social Media Marketing", "Digital Marketing", "Email Marketing"],
  "description": "1. Manage and actively contribute to social media platforms...",
  "apply_url": "https://internshala.com/internship/detail/work-from-home-digital-marketing-internship-at-sanyukt-organisation1784697392",
  "posted_text": "1 week ago",
  "posted_days_ago": 7,
  "scraped_at": "2026-07-31T18:12:02.910Z"
}
```

Every record contains these fields:

| Field | Description |
| --- | --- |
| 🆔 `listing_id` | Internshala internal listing ID |
| 🏷️ `employment_type` | `internship`, `job`, or `fresher_job` |
| 📌 `title` | Listing title |
| 🏢 `company` | Company name |
| 🖼️ `company_logo` | Company logo image URL |
| 🔥 `actively_hiring` | Whether Internshala shows the "Actively hiring" badge |
| 📍 `location` | Location text (city name(s) or "Work from home") |
| 🏠 `work_from_home` | True if the listing is remote |
| 💰 `compensation_text` | Raw stipend/salary string from Internshala |
| 💵 `compensation_min_inr` / `compensation_max_inr` | Parsed numeric stipend/salary |
| 🔖 `compensation_unit` | `month` (internship stipend), `year` (job salary), or `lump_sum` |
| 🚫 `is_unpaid` | True if explicitly marked Unpaid |
| ⏳ `duration_text` / `duration_months` | Internship duration, raw and normalised (internships only) |
| 📈 `experience_text` / `experience_min_years` / `experience_max_years` | Experience requirement (jobs only) |
| 🛠️ `skills` | Required skills as an array |
| 📝 `description` | Listing description (truncated to 400 chars unless `includeDescription: true`) |
| 🔗 `apply_url` | URL to the Internshala listing detail / apply page |
| 🗓️ `posted_text` / `posted_days_ago` | Raw and parsed posting recency |

A minority of remote/global listings on Internshala are quoted in USD rather than INR — `compensation_text` always carries the raw string with its currency symbol, so check it when `compensation_unit` alone isn't enough.

**One more row at the end of every run:** every run also ends with a final `_type: "info"` record — informational only, never billed — with a nudge on scheduling and Store reviews.

### 💼 Common use cases

**Internship & fresher-job market monitoring**
Track how many internships or fresher roles open in a category or city each week, and what stipend range they cluster around.

**Stipend/salary benchmarking**
Pull every work-from-home digital marketing internship and compute the median and range of stipends offered.

**Talent sourcing for campus/early-career hiring**
Feed listings into a sourcing tool to see what competitors are offering freshers in a given function.

**Career-content & jobs-board feeds**
Power a niche "internships this week" digest or enrich an existing student jobs board with fresh listings and normalised stipend data.

### 🚀 Getting started

1. Open the actor and add one or more search keywords (`digital marketing`, `python`), or leave blank and use category/location filters only.
2. Pick `employmentType`: internships, jobs, or fresher jobs.
3. Optionally set category, city, work-from-home, part-time, minimum stipend, and max duration.
4. Set max results.
5. Click Start. Download as JSON, CSV, or Excel, or pull the dataset via API or MCP.

### 🔁 Run on a schedule

Turn this from a one-off pull into a standing feed with Apify's built-in Schedules — no code, no cron server of your own.

1. Run the actor once with the input you want repeated, then click **Save as a task** — this keeps your exact input attached for every future run.
2. In the Apify Console, go to **Schedules** → **Create new**.
3. Name it, set your timezone, and pick a frequency — a preset (hourly/daily/weekly) or a custom cron expression.
4. Under **Actors or tasks to run**, add the task you saved in step 1.
5. Save. From then on it runs unattended, billed the same pay-per-listing way as a manual run.

#### Monitor mode — pay only for NEW listings

Set `monitorMode: true` and this actor remembers what it delivered last time (keyed on `listing_id`) — on the next scheduled run, only genuinely new listings are pushed and charged.

```json
{ "monitorMode": true }
```

Pairs directly with **Run on a schedule** above: save a task with `monitorMode: true`, attach it to a daily schedule, and you have a standing "what's new" feed with no duplicate charges. The summary row reports `new_this_run` and `skipped_duplicates`. First run establishes the baseline; every run after that is incremental.

### FAQ

**Does it log in to Internshala?**
No. The actor works from public search endpoints only. No account, no cookies, no captcha, no ban risk.

**Why do some listings show `Unpaid` with no numeric stipend?**
Internshala allows unpaid internships. `is_unpaid` is set to `true` and `compensation_min_inr`/`compensation_max_inr` are omitted rather than set to zero, so they don't skew any average you compute.

**I set `stipendMin` but I still got some Unpaid listings — is that a bug?**
No — this matches Internshala's own filter behaviour. Their minimum-stipend filter is inclusive of Unpaid listings, not a strict floor (verified directly against internshala.com). Filter `is_unpaid` / check `compensation_min_inr` in the output if you need a strict "paid only, above X" cut.

**Can I search jobs and fresher jobs, not just internships?**
Yes — set `employmentType` to `job` or `fresher_job`. Field coverage differs slightly: job/fresher\_job listings carry `experience_text`/`experience_min_years`/`experience_max_years` instead of `duration_text`/`duration_months`.

**How do I get more than one page of results?**
Set `maxResults` to whatever budget you want. The actor follows Internshala's paginated result set until the budget is reached or Internshala reports the last page.

**Can I use it in an AI agent?**
Yes. It's exposed as an MCP tool. See below.

### Use in Claude, ChatGPT & any MCP agent

```
https://mcp.apify.com/?tools=themineworks/internshala-jobs-scraper
```

Or call it programmatically with the Apify client:

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

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('themineworks/internshala-jobs-scraper').call({
  searchKeywords: ['digital marketing'],
  workFromHome: true,
  maxResults: 100,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

### 🛠️ Complete your hiring intelligence pipeline

Found the roles. Now enrich and act on them with the rest of the suite:

- **[Naukri Job Scraper](https://apify.com/themineworks/naukri-jobs)**: cross-check the same category against India's broader experienced-hire market.
- **[CutShort Jobs Scraper](https://apify.com/themineworks/cutshort-jobs-scraper)**: tech-focused roles for candidates who outgrow entry-level internships.
- **[LinkedIn Company Scraper](https://apify.com/themineworks/linkedin-company-details)**: profile the hiring company — size, industry, HQ.

Questions or need a custom field set? Reach out through the Apify profile.

# Actor input Schema

## `searchKeywords` (type: `array`):

One or more free-text keywords (role, skill or company), e.g. 'digital marketing', 'python'. Each keyword is searched separately and results are merged. Leave empty to browse by category/location/filters only.

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

Which Internshala board to search.

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

Internshala profile/category slug, e.g. 'computer-science', 'digital-marketing', 'human-resources', 'content-writing', 'graphic-design'. Use the slug from the matching internshala.com/internships/<slug>-internship URL. Leave blank for all categories.

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

City name, e.g. 'bangalore', 'mumbai', 'delhi', 'pune'. Leave blank for all locations. For remote roles use the 'Work from home' toggle below instead.

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

Only return remote / work-from-home listings.

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

Only return part-time listings.

## `stipendMin` (type: `integer`):

Minimum monthly stipend in INR for internships, or minimum annual salary in INR for jobs. Note: Internshala's own filter also includes Unpaid listings alongside the ones meeting your minimum (matching the site's own filter behaviour) — check compensation\_min\_inr / is\_unpaid in the output to separate them.

## `durationMaxMonths` (type: `integer`):

Only for internships. Only return internships lasting up to this many months.

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

Maximum number of listings to scrape across all keywords. Hard cap 1000.

## `includeDescription` (type: `boolean`):

If true, include the full listing description text. If false, descriptions are truncated to 400 characters.

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

Run on a schedule and deliver ONLY results not seen in a previous run. You are charged per new result, not for the whole feed each time. Ideal for daily monitoring. Requires the same input across runs.

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

Apify proxy. Internshala has no anti-bot wall observed — default Apify proxy works; switch to RESIDENTIAL only if you see blocks at very high volume.

## Actor input object example

```json
{
  "searchKeywords": [
    "digital marketing",
    "python"
  ],
  "employmentType": "internship",
  "category": "digital-marketing",
  "location": "bangalore",
  "workFromHome": false,
  "partTime": false,
  "maxResults": 5,
  "includeDescription": false,
  "monitorMode": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (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 = {
    "searchKeywords": [
        "digital marketing"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("themineworks/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 = { "searchKeywords": ["digital marketing"] }

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

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

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

```

## CLI example

```bash
echo '{
  "searchKeywords": [
    "digital marketing"
  ]
}' |
apify call themineworks/internshala-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=themineworks/internshala-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/CCdDoqTOLmj8uxrrd/builds/cLzIWLQP2aOuuIoKV/openapi.json