Internshala Scraper

Every internship and fresher job on Internshala — India's biggest internship site — for your words and city, newest first: the stipend or salary as numbers (INR per month or year), duration or experience asked, required skills, city or work from home, number of openings and applicants, apply-by date, posting date and the full description, as clean JSON. Pick internships, jobs or both. Schedule it and you get only the postings that are new since the last run.

Don't know which companies to watch? The Greenhouse Jobs Scraper searches 4,800 companies by job title, with no company names needed, and reports exactly which matching roles are new or closed each run.

How "new since last run" works

The Actor remembers which jobs each search returned last time. A job it has not seen before is marked isNewSinceLastRun: true. If the whole search fits within Max jobs, the comparison is exact and jobs that disappeared come back as type: "closed" rows. If the search is bigger than Max jobs, a job only counts as new when it was also posted after your previous run, so an old job that merely moved into view is never reported as new.

Filters (title, location text, salary, remote) never change the comparison, so changing a filter never makes jobs look new.

What you get

Field
site, kind	internships or jobs, and internship or job
title, company, companyWebsite	as listed, and the company's own website from the posting page. Postings whose employer name looks like a person's name (some individuals post under their own name) are left out entirely and not charged
location, locations, cities, region, remote	the cities as listed, the cities and state from the posting page, and true for work from home
salaryMin, salaryMax, salaryCurrency, salaryInterval, salaryText	the stipend or salary as numbers (INR, per month or year) and as shown (₹ 10,000 - 12,000 /month); unpaid internships are 0
duration, experienceText, experienceMonths	an internship's length (6 Months); the experience a job asks for, as shown and in months
skills, industry, category, employmentTypes	the required skills; the industry and role category; internship, full-time, part-time, contract
openings, applicants, applyBy, activelyHiring	number of openings, applicants so far as Internshala shows it (1000+), the apply-by date, and the "actively hiring" badge
postedAt, postedLabel, description	the posting date (Internshala gives the day, not the time) and the list's label (Today, 2 weeks ago), and the full text
isNewSinceLastRun	true / false, or null on the first run (unknown, not "old")
jobUrl	link to the job on Internshala
search, site	which of your searches returned it (and on which site: internships or jobs)

Internshala lists postings by relevance with promoted ones on top. This Actor reads the list of a search (up to its first 1,000 postings, about 25 pages), puts the newest first (by Internshala's own posting number), and returns the top Max jobs per search; "new since the last run" counts postings that appear above the ones returned last time. Recruiter names, company logos and anything about applicants other than their number are never returned.

Input

Put one search per line in Searches (e.g. python) and optionally a Location (e.g. Bangalore). Pick internships, jobs or both (both by default) — each row says which it is. Many searches in one run are cheaper than one run each.

A search the site refuses comes back as an error row and the run carries on. When the job board itself is down or failing (HTTP 5xx or no answer), the error row says so and carries sourceDown: true, so you can tell it from a problem in this Actor; nothing is charged for what could not be read.

How the search works: your words go to Internshala's keyword search (python, data analyst, content writing, graphic design). Location is a city as Internshala names it (Bangalore, Mumbai, Delhi, Pune, Hyderabad, Chennai, Kolkata, Gurgaon) or work from home. Internshala lists postings by relevance with promoted ones on top; this Actor reads the list (up to its first 1,000 per search) and puts the newest first.

Get only the new jobs every morning (3 steps)

1. Open this Actor in Apify Console, fill in your searches, set What to return to Only jobs that are new since the last run, and click Save as a new task.
2. On the task, add a Schedule, for example daily at 07:00.
3. Open the task's Integrations tab and connect Slack, email, Google Sheets (or Zapier / Make / a webhook). Each morning you get only the new jobs.

You pay only for the new jobs plus $0.01 per run, so a quiet day costs about a cent. When you export by hand, pick the Jobs view: 15 tidy columns, title first, instead of every raw field.

Pricing

$0.60 per 1,000 jobs, plus $0.01 per run. Closed-job rows and errors are free. With Only jobs that are new since the last run, a daily schedule only pays for the new ones.

For AI agents

For a fast answer call with {"searches": ["python"], "maxJobsPerSearch": 20, "includeDescription": false}. It takes about 20 seconds. The defaults (up to 200 jobs with full descriptions) can take about 6 minutes, which is longer than many agent tool timeouts. Each row has type: job, closed or error. isNewSinceLastRun: null means "no previous run to compare with".

Same filters on every site (10/2026): experience level (read from the title: intern → executive, returned as a seniority column) and employment type (the site's own words normalised into full-time / part-time / contract / temporary / internship, returned as employmentTypes). They only narrow what is returned, with no extra requests and no extra cost.

Zero rows is never ambiguous. The run's status message says why, per search, e.g. "zzz": no results on the site, results found but all removed by your filters or nothing new since the last run, and the OUTPUT record in the run's key-value store has the same as JSON: perSearch[].status is ok, no-results, all-filtered, nothing-new or error, with listed, read, returned, new and closed. Set summaryRows: true to get it as free type: "summary" rows instead.

Same core columns on every northbell job scraper (15 job sites + 10 company-career-page scrapers), so you can stack them into one table: jobId, title, company, location, countryCode (ISO, job sites), remote (true / false / null), employmentType (the site's own words), postedAt, jobUrl, salaryMin, salaryMax, salaryCurrency, salaryInterval, isNewSinceLastRun. Unknown is null, never a guess.

More job scrapers from northbell

Job sites: SEEK · Instahyre · Reed · InfoJobs · XING · Dice · HelloWork · Computrabajo · Foundit · jobs.ch · Arbeitsagentur · Arbeitnow · Remote OK · We Work Remotely.

Company career pages with exact new/closed tracking: Greenhouse · Lever · Workday · AI companies.