Internshala Scraper [💰$0.38] - Internships, Jobs & Employers,

What does Internshala Scraper do?

Internshala Scraper extracts internships, jobs and fresher jobs from Internshala.com, India's largest internship and entry-level job board, as clean structured records with 79 fields each: stipend or salary as numbers, duration, experience, skills, perks, applicant count, start and apply-by dates and the full description. Every record also carries the employer's track record on Internshala: hiring since, opportunities posted and candidates hired. It's no-code, and the output goes to JSON, CSV, Excel, the API or an AI agent.

Search by keyword, category, city and any of the site's filters, or paste Internshala search and listing URLs. Schedule it in incremental mode and get only new and changed listings, with alerts to Telegram, Slack, Discord or any webhook.

New to Apify? Sign up free and use the included monthly platform credit to try this Actor. No credit card needed.

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What data can you extract from Internshala?

Every record carries 79 fields, grouped like this:

Group	What you get
Listing	Title, listing type (internship / job / fresher job), URL, labels, actively-hiring flag, employment type, occupational category, course-exclusive flag
Pay & offer	Stipend/salary text plus salaryMin / salaryMax / currency / period, unpaid flag, CTC breakup with fixed and variable pay as numbers, and probation length and pay on jobs, job-offer flag + text on internships
Role	Duration in text and months (internships), experience in text and min/max years (jobs), skills, perks, who can apply, other requirements, number of openings, full description as text, HTML and Markdown
Dates & demand	Start date, apply-by date (as text and as an ISO date), posted age + days ago, exact posted and valid-through dates where the listing publishes them, applicant count, early-applicant flag
Location	City, all cities, state/region, work mode (onsite / remote / hybrid), work-from-home flag, in-office days per week on hybrid roles, part-time flag
Company & track record	Company name, logo, Internshala company page, website, industry, about text, hiring since, opportunities posted, candidates hired

On top of that come tracking fields (search keyword, search URL, scrape time, content hash) and, in incremental mode, the change-feed fields (changeType, first/last seen, expired at, repost detection).

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Key features

• 🎓 Internships, jobs and fresher jobs: all three Internshala sections, each with its own filters, from one Actor.
• 🗂️ Several categories and several cities in one run: e.g. Web Development + Data Science across Bangalore, Pune and Mumbai. Results are merged and de-duplicated.
• 🎚️ Every filter the site has: keywords, minimum stipend, minimum salary, experience, maximum duration, with job offer, fast response, early applicant, part-time, work from home and for women. Internshala applies the filters itself, and listings it pads a thin result with (another listing type, a lower stipend, a full-time role in a part-time search) are left out and never billed.
• 🏢 Employer track record: how long each company has hired on Internshala, how many opportunities it has posted and how many candidates it has hired, so you can tell established employers from first-time posters. We haven't seen another Internshala scraper return these fields.
• 💵 Salary breakup & probation on jobs: annual CTC split into fixed and variable pay (as numbers), plus probation length and pay where the job has one.
• 📅 Exact dates & applicant demand: posted and valid-through dates, the apply-by date and the live applicant count.
• 🛡️ No surprise bills from typos: a category or city Internshala doesn't recognise is skipped with a warning instead of expanding into the whole site (see the FAQ).
• ♻️ Incremental monitoring: scheduled runs return only what changed, unchanged listings cost nothing, and reposts can be skipped.
• 🔔 Notifications: Telegram, Slack, Discord or any webhook (n8n / Make / Zapier).
• 📓 Straight into Notion: every listing becomes a page in your Notion database as the run goes, with typed, filterable columns created for you.
• 🤖 AI-ready: compact and drop-empty output modes keep payloads small for LLMs and MCP.

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🚀 How to scrape Internshala

1. Open the Actor and choose a listing type: internships, jobs or fresher jobs.
2. Add keywords, categories and cities (all optional), then pick filters. You can also paste an Internshala URL instead.
3. Set Max results and choose whether to fetch full details.
4. (Optional) Turn on incremental mode and a notification channel, then Schedule it.
5. Click Start. Results stream into the Output tab. Download them as JSON, CSV or Excel, or pull them from the API.

No login, no cookies, no setup. Even an empty input works: it returns the 25 newest internships across India with full details.

Quick-start example input

{
  "listingType": "internship",
  "categories": ["Web Development", "Data Science"],
  "locations": ["Bangalore", "Pune"],
  "minStipend": 10000,
  "maxResults": 100
}

This finds up to 100 web-development and data-science internships in Bangalore and Pune paying at least ₹10,000 a month. They come de-duplicated across both cities, with the full description, applicant count and each employer's hiring track record.

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Input

Configure it in the visual editor (no code needed) or pass JSON through the API. 42 inputs are available, grouped exactly as in the editor.

🔎 Search

Field	Type	What it does
listingType	enum	internship (default), job or fresher-job (0–1 year experience).
query	string	Keywords, e.g. react or content writing. Separate several with commas. Each runs as its own search and the results are merged.
categories	array	Internshala categories as named on the site, e.g. Web Development, Python/Django, Data Science, Marketing, Human Resources (HR). Several values widen the search.
locations	array	Cities, e.g. Bangalore, Mumbai, Delhi, Hyderabad, Pune, Chennai. Several values widen the search.
startUrls	array	Internshala search pages (with any filters applied on the site) or single internship/job pages, used in addition to the search.
maxResults	integer	Maximum listings across all searches (default 25, 0 = everything the search has).
maxPages	integer	Stop each search after this many results pages, about 40 listings each (0 = no limit).

🎚️ Filters

Internshala applies these filters itself. Filters marked (internships) or (jobs) only apply to that listing type.

Field	Type	What it does
workFromHome	boolean	Remote listings only.
partTime	boolean	Part-time listings only.
forWomen	boolean	(internships) Internshala's internships-for-women section.
minStipend	integer	(internships) Minimum monthly stipend in ₹. The site's steps are 2,000 / 4,000 / 6,000 / 8,000 / 10,000, and other values are rounded down to a step.
maxDurationMonths	integer	(internships) Maximum duration. The site's steps are 1, 2, 3, 4, 6, 12, 24 and 36 months.
withJobOffer	boolean	(internships) Only internships with a pre-placement job offer.
fastResponse	boolean	(internships) Only employers that respond quickly.
earlyApplicant	boolean	(internships) Only internships with few applicants so far.
minSalaryLpa	integer	(jobs) Minimum annual salary in lakh ₹ (1–10).
experience	enum	(jobs) Jobs open to a candidate with 1, 2, 3, 4, 5 or 5plus years of experience, so roles asking for less (including fresher roles) are included. For 0 years, pick the fresher-jobs listing type.

📄 Output

Field	Type	What it does
includeDetails	boolean	Open each listing for the description, dates, applicant count, openings, perks, who can apply, salary breakup and company profile (default on).
descriptionFormat	enum	all, text, html or markdown.
descriptionMaxLength	integer	Truncate descriptions to N characters (0 = no limit).
compact	boolean	Core fields only. Ideal for AI agents and MCP clients.
excludeEmptyFields	boolean	Drop null and empty fields for cleaner output.

♻️ Incremental monitoring

Field	Type	What it does
incrementalMode	boolean	Emit only what changed since the last run, tagged with a changeType.
stateKey	string	Stable name for the tracked search (derived automatically if left blank).
emitUnchanged	boolean	Also emit listings that haven't changed.
emitExpired	boolean	Also emit listings that have closed since the last run (needs maxResults: 0).
skipReposts	boolean	Drop re-posts of a listing seen in an earlier run (same title, company and place under a new ID). They cost nothing.

🔔 Notifications

Credentials are secret inputs: encrypted at rest, masked in the UI and never written to the run log.

Field	Type	What it does
telegramToken + telegramChatId	string	Telegram bot token + chat or channel ID.
slackWebhookUrl / discordWebhookUrl	string	Incoming webhook URL.
webhookUrl + webhookHeaders	string / object	POST the matched listings as JSON to n8n, Make, Zapier or any endpoint.
notificationLimit	integer	Listings per notification message (1–20, default 5).
notifyOnlyChanges	boolean	In incremental mode, alert only on NEW, UPDATED and REAPPEARED listings, even when unchanged ones are emitted.

📓 Send results to Notion

Field	Type	What it does
notionApiKey	string	Internal integration secret from notion.so/my-integrations (starts with ntn_). Connect the integration to your database (⋯ → Connections). Secret input.
notionDatabaseId	string	The database URL or its 32-character ID. It can start empty: the columns are created on the first run.
notionCreateProperties	boolean	Create any missing columns with the right Notion type (on by default). Off = write only into columns you made.

⚙️ Advanced

Field	Type	What it does
proxyConfiguration	object	Optional and off by default. Runs work without it.
maxConcurrency	integer	Pages fetched in parallel (1–16, default 16).
maxRequestRetries	integer	Retries per failed request (default 3).
ignoreUrlFailures	boolean	Skip URLs that can't be read instead of failing the run (default on).

More example inputs

Remote fresher jobs for a keyword:

{ "listingType": "fresher-job", "query": "content writing, digital marketing", "workFromHome": true, "maxResults": 200 }

Jobs for candidates with 2 years of experience, at least 5 LPA, in two cities:

{ "listingType": "job", "locations": ["Hyderabad", "Chennai"], "experience": "2", "minSalaryLpa": 5, "maxResults": 0 }

A daily alert for new paid internships with a job offer:

{ "listingType": "internship", "categories": ["Python/Django"], "withJobOffer": true, "minStipend": 8000, "maxResults": 0, "incrementalMode": true, "telegramToken": "<bot token>", "telegramChatId": "@yourchannel" }

Specific Internshala pages:

{ "startUrls": [{ "url": "https://internshala.com/fresher-jobs/" }, { "url": "https://internshala.com/internship/detail/sales-and-business-development-executive-us-sales-internship-in-bangalore-at-spryte-labs-private-limited1789980112" }] }

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Output

Each dataset item is one internship or job. Every record carries the card fields (title, company, location, stipend/salary, duration or experience, skills, posted age). Fetch full details (on by default) adds the description, dates, applicant count, openings, perks, salary breakup and the company's track record. Here is a real fresher-job record, trimmed:

{
  "id": "3291202",
  "listingType": "job",
  "title": "Business Development Executive",
  "company": "Zucol Solutions Private Limited",
  "url": "https://internshala.com/job/detail/fresher-business-development-executive-job-in-jaipur-at-zucol-solutions-private-limited1789720402",
  "activelyHiring": true,
  "location": "Jaipur",
  "regions": ["Rajasthan"],
  "workMode": "onsite",
  "salaryText": "₹ 2,53,000 - 4,56,000 /year",
  "salaryMin": 253000,
  "salaryMax": 456000,
  "salaryCurrency": "INR",
  "salaryPeriod": "YEAR",
  "salaryBreakup": "Annual CTC: ₹ 2,53,000 - 4,56,000 /year\nAnnual CTC breakup:\n1. Fixed pay: ₹ 2,50,000 - 4,50,000 /year\n2. Variable pay: ₹ 3,000 - 6,000 /year",
  "fixedPayMin": 250000,
  "fixedPayMax": 450000,
  "variablePayMin": 3000,
  "variablePayMax": 6000,
  "experienceText": "No experience required",
  "experienceMinYears": 0.0,
  "experienceMaxYears": 0.0,
  "isFresherJob": true,
  "skills": ["Business Development", "Client Relationship", "Effective Communication", "Lead Generation", "Sales"],
  "startDate": "Immediately",
  "applyBy": "18 Oct' 26",
  "applyByDate": "2026-10-18",
  "postedAgo": "3 weeks ago",
  "postedAt": "2026-09-18",
  "validThrough": "2026-10-18T23:59:59",
  "applicantCount": 125,
  "applicantVolumeLabel": "125 applicants",
  "numberOfOpenings": 10,
  "whoCanApply": "Only those candidates can apply who:\n1. are from Jaipur only",
  "description": "Key responsibilities:\n1. Will be responsible for finding new business opportunities.\n2. Building client relationships and increase company sales.\n3. They generate leads, pitch products or services, and close deals to drive growth.",
  "employmentType": "FULL_TIME",
  "occupationalCategory": "Business Development (Sales)",
  "companyIndustry": "Computer Services",
  "companyUrl": "https://internshala.com/company/zucol-solutions-private-limited-1650688633",
  "companyHiringSince": "December 2025",
  "companyOpportunitiesPosted": 17,
  "companyCandidatesHired": 5,
  "source": "internshala.com",
  "scrapedAt": "2026-10-18T10:07:25.425135+00:00"
}

Descriptions also come as descriptionHtml and descriptionMarkdown. Internship records carry duration, durationMonths, hasJobOffer and jobOfferText (e.g. "Job offer upto ₹ 4.5LPA post internship") instead of the experience fields. In incremental mode, each record also carries a changeType.

Data fields

• Core: id, listingType, title, company, companyLogo, url, location, locations, regions, workMode, isWorkFromHome, inOfficeDaysPerWeek, isPartTime, salaryText, salaryMin, salaryMax, salaryCurrency, salaryPeriod, isUnpaid, duration, durationMonths, experienceText, experienceMinYears, experienceMaxYears, skills, descriptionSnippet, postedAgo, postedDaysAgo, activelyHiring, earlyApplicant, hasJobOffer, jobOfferText, isFresherJob, isCourseExclusive, labels.
• Details (with includeDetails): description, descriptionHtml, descriptionMarkdown, whoCanApply, otherRequirements, perks, numberOfOpenings, applicantCount, applicantVolumeLabel, startDate, applyBy, applyByDate, postedAt, validThrough, employmentType, occupationalCategory, salaryBreakup, fixedPayMin, fixedPayMax, variablePayMin, variablePayMax, probation, probationMonths.
• Company & track record (with includeDetails): aboutCompany, companyWebsite, companyUrl, companyIndustry, companyHiringSince, companyOpportunitiesPosted, companyCandidatesHired.
• Tracking & change feed: source, searchKeyword, searchUrl, scrapedAt, detailFetched, contentHash, changeType, firstSeenAt, lastSeenAt, previousSeenAt, expiredAt, isRepost, repostOfId, repostDetectedAt.

In standard mode every field is present, and missing values are null. The Output tab has two table views: Overview (the essentials per listing) and Full details (adds start date, openings, skills, perks, who can apply and the company website).

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♻️ How to monitor Internshala with incremental mode

Schedule the Actor and turn on incremental mode. Each run compares against the last one and emits only NEW / UPDATED / REAPPEARED / EXPIRED listings. Unchanged listings are recognised from the search results before their detail page is fetched, so you skip both the work and the cost.

	First run (baseline)	Next run (nothing changed)
Listings found	all	all
Detail pages fetched	all	none
Records emitted & billed	all	none

After the baseline, your cost depends on how much of Internshala changes, not on how much of it you watch:

Daily churn	of 1,000 tracked	billable records	you save
5 %	1,000	50	95 %
15 %	1,000	150	85 %
30 %	1,000	300	70 %

Reposted listings are detected and flagged with isRepost and repostOfId, so a re-listed role doesn't look like a brand-new opening. Closed listings (EXPIRED) are reported only on runs that cover the whole search (maxResults: 0). A capped run can't tell a closed listing from one it simply didn't reach.

Setting up scheduled monitoring

1. Configure your listing type, categories, cities and filters.
2. Set Max results to 0 and turn on Incremental mode.
3. Run it once to seed the baseline.
4. Open the Schedules tab and set a recurring run (e.g. every morning).
5. Add a notification channel. From then on, each alert carries only new and changed listings.

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🔔 How to set up Internshala alerts

Get pinged the moment a matching internship or job is posted. Fill in only the channels you want (Telegram, Slack, Discord or a JSON webhook for n8n / Make / Zapier; the fields are in the Notifications table under Input). To keep every listing as a row instead, send results to a Notion database.

Each message lists up to notificationLimit listings with title, company, city, stipend or salary and link. Every channel fires independently, so a broken channel can't stop the scrape or the other channels. With incremental mode on, alerts include only listings that are genuinely new or changed, with no duplicates across runs.

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💡 What can you do with Internshala data?

Run an internship or fresher-job alert channel

Feed new listings for a category and city into a Telegram, Slack or Discord channel for your students, community or newsletter. Incremental mode makes sure each listing is announced exactly once.

Benchmark stipends and entry-level salaries

Numeric salaryMin / salaryMax with period, plus the fixed-vs-variable CTC breakup on jobs, let you compare pay by role, city, category and work mode. Track the averages month over month to see where entry-level pay is moving.

Vet employers before you apply or partner

Hiring-since, opportunities-posted and candidates-hired show whether a company is an established recruiter or posting for the first time. Placement cells and career platforms can rank or flag employers on that track record.

Map hiring demand across India

Count listings, openings and applicants by skill, category, city and state to see where internships and fresher jobs are growing. Applicant counts show which roles are crowded and which still have room.

Power a job board or career app

Keep an aggregator, campus portal or edtech product stocked with fresh, de-duplicated Internshala listings, with descriptions in text, HTML or Markdown. Scheduled incremental runs keep it current at low cost.

Feed AI agents and LLM pipelines

Send compact JSON straight into an LLM context, an MCP tool or a vector store, for example to match students to roles by skills. excludeEmptyFields and compact mode keep token costs low.

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💰 How much does it cost to scrape Internshala?

This Actor uses Apify's pay-per-event model: a small fee when a run starts, plus a fee for each listing in the dataset. The Actor's Pricing tab shows the current numbers live, so this page never goes stale.

Each results page returns about 40 listings at once, with no browser and no proxy needed by default, which keeps the per-listing fee at the low end of the market. You're billed only for listings that match your filters: filtered-out rows, padding the site adds and misspelt categories or cities never reach the dataset. Incremental mode cuts the bill further, since after the baseline you pay only for what changed (see the table above). You can also cap any run with Max results or with Apify's per-run spending limit.

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🔌 Integrations & export

Export to JSON, CSV, Excel or an HTML table, or pull results from the REST API and the JavaScript / Python clients. Runs work on a schedule, connect to Google Sheets, Slack, Make, Zapier and n8n, and plug into AI agents as an MCP tool.

Also covering India: our Foundit Jobs Scraper for the wider Indian job market.

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🔗 Using the API

Run this Actor from your own code. Example with the Apify Python client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "listingType": "internship",
    "categories": ["Data Science"],
    "locations": ["Bangalore", "Mumbai"],
    "maxResults": 50,
}

run = client.actor("corvuslab/internshala-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["company"], item["salaryText"], item["companyCandidatesHired"])

It also works with the JavaScript/TypeScript client, the Apify CLI and the REST API.

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❓ FAQ

Do I need an Internshala account or login? No. The Actor reads only public listings, with no account, cookies or proxy setup.

Why do I get fewer listings than Internshala's own count? For city searches, Internshala's headline count also includes remote listings, which a city search doesn't return. Listings the site adds that don't match your filters are also left out, and never billed.

Can I search several cities at once? Yes. Internshala itself honours only one city per search, so the Actor runs one search per city, then merges and de-duplicates the results. maxResults is shared across all of those searches, not applied per city.

What happens if I misspell a category or city? When Internshala doesn't recognise a filter value, it ignores it and returns the whole site. The Actor detects this: an unrecognised value is dropped with a warning in the log, and a search where every value was unrecognised is skipped. You never pay for thousands of unrelated listings because of a typo.

Why is applicantCount empty on some listings? Internshala shows a number only once a listing has a meaningful number of applicants. Otherwise it shows "Be an early applicant", which comes through in applicantVolumeLabel and sets earlyApplicant: true. Expect a numeric count on about half of listings.

Why is companyCandidatesHired sometimes null? Internshala only displays it once the company has hired at least one candidate through the site, which is the case on a little over half of listings. companyHiringSince and companyOpportunitiesPosted are present on practically every detailed record. The exact postedAt / validThrough dates appear where the listing publishes them (most listings). postedAgo and postedDaysAgo are always there.

Does it return employer emails or phone numbers? No. Internshala doesn't publish employer contact details, since applications go through the site. You get the company's website (on about 60% of listings), its Internshala company page, industry, about text and hiring track record.

Which fields apply to internships and which to jobs? Duration, stipend steps, job offer, fast response, early applicant and for women are internship-only. Experience, salary breakup, fixed/variable pay and probation are jobs-only (fixed/variable pay only where the job publishes a breakup, probation only where it has one). occupationalCategory is filled only when the site gives a real category rather than repeating the title. inOfficeDaysPerWeek is filled only on hybrid listings. Fields that don't apply are null.

What does isCourseExclusive mean? Some listings are reserved for students of Internshala's own placement course. They appear in search results, so the Actor returns their card fields and flags them isCourseExclusive: true, but their full details aren't public.

How many listings can I get? Set maxResults to 0 for everything a search has. The whole Internshala catalogue is reachable, not just the first pages.

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⚖️ Is it legal to scrape Internshala?

This Actor collects only publicly available listing data: the same internships and jobs anyone can browse on Internshala without logging in. It doesn't collect candidate data or employer contact details. You're responsible for how you use the data, in particular any personal information, and for complying with Internshala's terms and applicable law, including India's Digital Personal Data Protection Act and the GDPR/LGPD where they apply. Not affiliated with, endorsed by or sponsored by Internshala.

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