Fast Internshala Jobs & Internships Scraper

Search Internshala jobs and internships from Apify using structured filters, then export clean listing data from the default Dataset.

This Actor is designed for users who need reliable Internshala listing data without managing browser automation, pagination, retries, or response cleanup. Each run accepts a search configuration, retrieves matching listings through the Actor owner's private retrieval service, normalizes the response, removes duplicates, and stores one Dataset item per listing.

What This Actor Does

• Finds internships or jobs by keywords, categories, cities, and work mode
• Supports work-from-home, part-time, full-time, fresher, salary, experience, and stipend filters
• Saves clean structured records to the Apify Dataset
• Limits output with maxListings
• Retries temporary network or service failures
• Produces export-ready data in JSON, JSONL, CSV, XLSX, XML, and RSS through Apify
• Keeps private connection details outside Actor input, Dataset items, and logs

Pricing

This Actor is intended to use usage-based pricing:

Charge	Price
Actor start	$0.00005 per run
Saved listings	$1.00 per 1,000 Dataset records

The listing charge is based on records saved to the Dataset after filtering, normalization, and deduplication.

How To Use

1. Open the Actor in Apify Console.
2. Enter your search filters in the Input tab.
3. Click Start.
4. Open the Dataset tab after the run finishes.
5. Export the results in your preferred format.

Input

The Actor input is a JSON object. The most common fields are shown below.

Search

Field	Type	Default	Description
listingType	string	internships	Use internships or jobs.
keywords	string	empty	Role, skill, or search phrase such as Python, Data Analyst, or Marketing.
categories	string array	[]	Optional Internshala category names. Leave empty to search all categories.
cities	string array	[]	Optional city names. Ignored when workFromHome is enabled.
workFromHome	boolean	false	Return only remote/work-from-home listings.

Listing Filters

Field	Type	Default	Description
scheduleType	string	any	One schedule choice: any, part_time, or full_time. Full-time applies only to jobs.
minStipend	integer	0	Internships only. Minimum monthly stipend filter applied after results are fetched.
fresherOnly	boolean	false	Jobs only. Return fresher jobs.
salaryLevel	integer	0	Jobs only. Salary filter level from 0 to 10; 0 means no salary filter.
experienceYears	integer	0	Jobs only. Minimum experience from 0 to 10; ignored when fresherOnly is enabled.
matchingPreference	boolean	false	Requests preference-matched listings when supported.

Limits And Reliability

Field	Type	Default	Description
maxListings	integer	100	Maximum number of Dataset records to save. Allowed range: 1 to 2000.
requestTimeoutSecs	integer	180	Request timeout. Allowed range: 10 to 600.
retryCount	integer	3	Number of attempts for retryable network or service failures. Allowed range: 1 to 5.

Example Inputs

Remote Python Internships

{
  "listingType": "internships",
  "keywords": "Python",
  "categories": [],
  "cities": ["Delhi"],
  "workFromHome": true,
  "scheduleType": "any",
  "minStipend": 0,
  "fresherOnly": false,
  "salaryLevel": 0,
  "experienceYears": 0,
  "matchingPreference": false,
  "maxListings": 25,
  "requestTimeoutSecs": 180,
  "retryCount": 3
}

Remote Data Analyst Jobs

{
  "listingType": "jobs",
  "keywords": "Data Analyst",
  "categories": [],
  "cities": ["Bengaluru", "Hyderabad"],
  "workFromHome": true,
  "scheduleType": "full_time",
  "minStipend": 0,
  "fresherOnly": false,
  "salaryLevel": 4,
  "experienceYears": 2,
  "matchingPreference": false,
  "maxListings": 50,
  "requestTimeoutSecs": 180,
  "retryCount": 3
}

Output

The Actor stores results in the default Apify Dataset. Each Dataset item represents one job or internship listing.

Important fields include:

Field	Description
listingId	Stable listing identifier from the source data.
listingType	internships or jobs.
url	Public Internshala listing URL.
title	Listing title.
company	Company name.
location	Display location, or Work From Home for remote listings.
locations	List of locations when available.
isRemote	Whether the listing is remote/work-from-home.
isPartTime	Whether the listing is part-time.
stipend, stipendMin, stipendMax	Internship stipend data. These are usually empty for jobs.
salary, salaryMin, salaryMax	Job salary data. These are empty for internship records.
durationMonths	Internship duration when available.
experienceYears	Job experience requirement when available.
skills	Skills extracted from the listing.
perks	Perks or benefits listed by the employer.
description	Listing description.
openings	Number of openings when available.
applicationDeadline	Application deadline text.
postedAt	Human-readable posting date.
postedAtIso	Source-provided posting timestamp when available.
scrapedAt	Timestamp when the Actor saved the record.
source	Always Internshala.

Example Dataset Item

{
  "listingId": "3202603",
  "listingType": "internships",
  "url": "https://internshala.com/work-from-home-data-analytics-internship-at-example",
  "title": "Data Analytics - Internship (WFH)",
  "company": "Example Company",
  "location": "Work From Home",
  "locations": [],
  "workMode": "remote",
  "isRemote": true,
  "isPartTime": false,
  "stipend": "Rs. 10,000 - 20,000 /month",
  "stipendMin": 10000,
  "stipendMax": 20000,
  "salary": null,
  "salaryMin": null,
  "salaryMax": null,
  "durationMonths": null,
  "experienceYears": null,
  "skills": ["Python", "SQL", "Data Analytics"],
  "perks": ["Certificate", "Flexible work hours"],
  "description": "Listing description...",
  "openings": 4,
  "applicationDeadline": "4 Aug' 26",
  "postedAt": "5 Jul' 26",
  "postedAtIso": "1783189800",
  "activelyHiring": true,
  "earlyApplicant": false,
  "hasJobOffer": false,
  "womenOnly": false,
  "fastResponse": false,
  "aboutCompany": "Company summary...",
  "searchCategories": [],
  "searchCities": [],
  "scrapedAt": "2026-07-05T15:54:17.684250Z",
  "source": "Internshala"
}

Output Summary

At the end of each successful run, the Actor writes an OUTPUT record to the default key-value store. It includes:

• success
• listingType
• fetchedResults
• savedResults
• requestedMax
• minimumStipend
• pagesFetched
• startedAt
• finishedAt
• durationSeconds

Behavior Notes

• workFromHome=true overrides cities.
• scheduleType is a single-choice filter, so users cannot select part-time and full-time together.
• scheduleType=full_time, fresherOnly, salaryLevel, and experienceYears are job-focused filters.
• minStipend is applied after source results are fetched. The Actor may fetch extra internship listings internally, then filter and trim to maxListings.
• Dataset records are deduplicated before saving.
• If no listings match the input, the run can still succeed with an empty Dataset.

Security

• Private connection details are not exposed in Actor input.
• Private credentials are not written to Dataset items.
• Error messages redact sensitive values if an upstream response includes them.
• The Actor logs only high-level run information, such as listing type and result counts.