Internshala [Just 💰$0.4] — Internships & Fresher Jobs in India

What does Internshala do?

Internshala extracts structured job data from internshala.com — including salary data, apply URLs, company metadata, full descriptions, and skill tags. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions and company metadata) where the source provides them.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 💰 Structured stipend & job-offer signal — stipend parsed to min, max, currency and period (handles Indian lakh formatting). Pre-placement job offers are flagged with the offer amount. Filter by minimum stipend or salary.
• 📋 Detail enrichment — optional detail pages add the full description, skills, duration, start date, openings, apply-by deadline, who-can-apply, perks and company overview.
• 🔔 Notifications — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + notifyOnlyChanges for daily "new Internshala jobs" pings to your hiring channel.
• 🔗 Paste-mode — paste any internshala.com search URL as a start URL — multiple URLs are merged and deduplicated by listing id in one run.
• 📦 Compact mode — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
• ♻️ Incremental mode — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring.
• 📤 Export anywhere — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …).
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from Internshala?

Each result includes Core job fields (jobId, jobKey, listingType, title, location, isWorkFromHome, isPartTime, and workMode, and more), detail fields when enrichment is enabled (description, descriptionHtml, descriptionMarkdown, descriptionLength, and detailFetched), apply information (whoCanApply, applyBy, and applyUrl), and company metadata (company, companyLogo, companyUrl, and aboutCompany). In standard mode, all fields are always present — unavailable data points are returned as null, never omitted. In compact mode, only core fields are returned.

Enable detail enrichment in the input to get richer fields such as full descriptions and company metadata where the source provides them.

Input

The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.

Key parameters:

• listingType — Scrape internships or fresher jobs. (default: "internship")
• query — Free-text keyword search (e.g. "web development"). Use a JSON array for multiple keywords, e.g. ["data science","marketing"]. Keyword search runs standalone — for category/city/WFH filtering, leave this empty and use the filters below.
• category — Internshala category slug, e.g. web-development, data-science, marketing, graphic-design, content-writing, human-resources, finance, sales, operations, android-app-development, machine-learning. Use a JSON array for multiple categories.
• location — City name, e.g. mumbai, delhi, bangalore. Use a JSON array for multiple cities.
• workFromHome — Only return work-from-home (remote) listings. (default: false)
• partTime — Only return part-time listings. (default: false)
• durationMonths — Internships only. Restrict to specific durations in months (e.g. 1, 2, 3, 4, 6). One search runs per value. Leave empty for any duration.
• withJobOffer — Only return internships that come with a guaranteed pre-placement job offer. (default: false)
• fastResponse — Internships only. Only return listings where employers are likely to respond quickly. (default: false)
• earlyApplicant — Only return listings where you would be among the first applicants. (default: false)
• forWomen — Only return listings from Internshala's "for women" vertical. (default: false)
• minStipend — Internships: only return listings whose monthly stipend is at least this amount (INR). 0 = no minimum. Undisclosed stipends are kept. (default: 0)
• ...and 28 more parameters

Input examples

Basic search — Keyword-driven search with a result cap.

→ Full payload per result — all standard fields populated where the source provides them.

{
  "query": "web development",
  "maxResults": 50
}

Incremental tracking — Only emit jobs that changed since the previous run with this stateKey.

→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set emitUnchanged: true to include unchanged records as well.

{
  "query": "web development",
  "maxResults": 200,
  "incrementalMode": true,
  "stateKey": "web-development-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
  "query": "web development",
  "maxResults": 50,
  "compact": true
}

Output

Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example job record

{
  "jobId": "3c81f57a2cf2b2dbd12246348ff6e7cfda18e2b6de17e250d78ae345d8cf823f",
  "jobKey": "3175537",
  "listingType": "internship",
  "title": "Artificial Intelligence (AI) - Internship",
  "company": "Karma Infratech",
  "companyLogo": "/static/images/search/placeholder_logo.svg",
  "companyUrl": "https://internshala.com/company/karma-infratech-1765372449",
  "location": "Kanpur",
  "isWorkFromHome": false,
  "isPartTime": false,
  "workMode": "onsite",
  "category": "Construction",
  "skills": [
    "Search Engine Optimization (SEO)",
    "Web development",
    "Web Design",
    "Natural Language Processing (NLP)",
    "Artificial intelligence",
    "... 4 more items"
  ],
  "description": "About the internship:1. Build AI chatbots and automation solutions for business use cases. 2. Work with WhatsApp API integrations and chatbot deployment. 3. Develop websites using Vibe Coding, no-code...",
  "descriptionHtml": "<br><p>About the internship:</p>1. Build AI chatbots and automation solutions for business use cases.<br />\n2. Work with WhatsApp API integrations and chatbot deployment.<br />\n3. Develop websites usi...",
  "descriptionMarkdown": "About the internship:\n\n1. Build AI chatbots and automation solutions for business use cases.\n\n2. Work with WhatsApp API integrations and chatbot deployment.\n\n3. Develop websites using Vibe Coding, no-...",
  "descriptionLength": 2756,
  "whoCanApply": "Only those candidates can apply who: 1. are available for full time (in-office) internship 2. can start the internship between 10th Jun'26 and 15th Jul'26 3. are available for duration of 3 months 4....",
  "perks": [
    "Informal dress code",
    "Free snacks & beverages",
    "Job offer"
  ],
  "aboutCompany": "Founded in 2021, Karma Infratech is an associate of Shree Sukhada Construction (1996). We specialize in turnkey infrastructure, telecom, and supply projects for Central Government departments. With a...",
  "stipendText": "₹ 10,000 /month",
  "salaryMin": 10000,
  "salaryMax": 10000,
  "salaryCurrency": "INR",
  "salaryPeriod": "MONTH",
  "employmentType": "INTERN, FULL_TIME",
  "duration": "3 Months",
  "durationMonths": 3,
  "startDate": "Immediately",
  "numberOfOpenings": 2,
  "applicantCount": 63,
  "hasJobOffer": true,
  "jobOfferText": "Job offer upto ₹ 3LPA",
  "activelyHiring": true,
  "earlyApplicant": false,
  "postedAt": "2026-06-10",
  "publishedAge": "Posted 1 week ago",
  "applyBy": "11 Jul' 26",
  "validThrough": "2026-07-11 23:59:59",
  "canonicalUrl": "https://internshala.com/internship/detail/artificial-intelligence-ai-internship-in-kanpur-at-karma-infratech1781073908",
  "applyUrl": "https://internshala.com/internship/detail/artificial-intelligence-ai-internship-in-kanpur-at-karma-infratech1781073908",
  "sourceUrl": "https://internshala.com/internship/detail/artificial-intelligence-ai-internship-in-kanpur-at-karma-infratech1781073908",
  "sourceCountry": "IN",
  "sourceDomain": "internshala.com",
  "searchQuery": "web-development",
  "searchUrl": "https://internshala.com/internships/web-development-internship/",
  "scrapedAt": "2026-06-20T11:10:04.711Z",
  "fetchedAt": "2026-06-20T11:10:04.711Z",
  "detailFetched": true,
  "contentQuality": "full",
  "contentHash": "0217d0cb1a89095bd0a2ce74fb63bd4a00cb14ca858782c7c67d594fd41f2dbd"
}

Incremental fields

When incremental mode is on, each record also carries:

• changeType — one of NEW, UPDATED, UNCHANGED, REAPPEARED, EXPIRED. Default output covers NEW / UPDATED / REAPPEARED; set emitUnchanged: true or emitExpired: true to opt into the others.
• firstSeenAt, lastSeenAt — ISO-8601 timestamps tracking the listing across runs.
• isRepost, repostOfId, repostDetectedAt — populated when a new listing matches the tracked content of a previously expired one. Set skipReposts: true to drop detected reposts from the output.

How to scrape Internshala

1. Go to Internshala in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set maxResults to control how many results you need.
4. Enable includeDetails if you need full descriptions, company data.
5. Click Start and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.

Use cases

• Extract job data from Internshala for market research and competitive analysis.
• Track salary trends across regions and categories over time.
• Monitor new and changed jobs on scheduled runs without processing the full dataset every time.
• Auto-apply or feed apply URLs into your ATS / hiring pipeline.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.
• Analyze skill demand across listings using structured skill tags.

How much does it cost to scrape Internshala?

Internshala uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.0005 per run
• Per result: $0.0004 per job record

Example costs:

• 10 results: $0.0045
• 25 results: $0.011
• 100 results: $0.041
• 200 results: $0.081
• 500 results: $0.2

Example: recurring monitoring savings

These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of jobs that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.

Example setup: 200 jobs per run, daily polling (30 runs/month). Costs scale linearly with the number of jobs.

Churn rate	Full re-scrape run cost	Incremental run cost	Savings vs full re-scrape	Monthly cost after baseline
5% — stable niche query	$0.08	$0.0045	$0.08 (94%)	$0.14
15% — moderate broad query	$0.08	$0.01	$0.07 (84%)	$0.38
30% — high-volume aggregator	$0.08	$0.02	$0.06 (70%)	$0.73

Full re-scrape monthly cost at the same cadence: $2.42. First month with incremental costs $0.21 / $0.44 / $0.79 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.

Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.

FAQ

How many results can I get from Internshala?

The number of results depends on the search query and available jobs on Internshala. Use the maxResults parameter to control how many results are returned per run.

Does Internshala support recurring monitoring?

Yes. Enable incremental mode to only receive new or changed jobs on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.

Can I integrate Internshala with other apps?

Yes. Internshala works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Internshala with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Internshala through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape Internshala?

This actor extracts publicly available data from Internshala. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.

Disclaimer

This actor accesses only publicly available data on internshala.com. You are responsible for how you use the extracted data — in particular any personal information such as names, phone numbers, or email addresses — and for complying with Internshala's terms of use, applicable data-protection law (including the GDPR where it applies), and the anti-spam rules of your jurisdiction.

This actor is not affiliated with, endorsed by, or connected to Internshala.

Search keywords

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