Instahyre Jobs Scraper — India Tech Jobs & Hiring Monitor

Search India's tech job market on Instahyre and watch it change over time. Every row carries the job (title, skills, locations, apply URL) plus the hiring company's full profile — name, tagline, founding year, employee count and description. Run it once for a clean dataset, or turn on monitor mode to get only the postings that are new since your last run, so you catch companies the moment they start hiring. Powered by Instahyre's own JSON API, so runs are fast and rows are exact — no HTML guesswork.

Search by skill and city, paste listing or job URLs, and optionally add employer contact emails to turn each hiring company into an outreach-ready lead.

How it works

✨ Why use this scraper?

• API-exact data — rows come from Instahyre's JSON API, one request per 35 jobs. Fast, cheap, and immune to layout changes.
• Company intelligence included — founding year, headcount, tagline and company description ride along on every job row, which most job scrapers skip.
• Skill search that actually filters — the skills filter binds server-side (verified against row content, since Instahyre ignores several of its own documented parameters).
• Honest city filtering — Instahyre's API ignores location parameters, so the city and remote filters are applied to row content on our side; rows that miss the filter are skipped and never billed.
• Employer emails on demand — opt-in enrichment discovers the company's website and harvests a contact email, billed only per row where one is found.
• Bulk-friendly and fail-safe — paste many URLs or skills; failed requests retry direct then through residential, and produce no billed placeholder rows.

🔁 Hiring monitor — track only what's new

Companies that just started hiring are the freshest lead of all. Turn on monitoringMode and the scraper remembers which jobs it has already seen, then on every later run emits only the postings that appeared since — new roles, new companies, new stacks. Point it at a skill (react) or a city (bangalore), put it on an Apify schedule, and you get a daily feed of who's newly hiring for what, with the company profile and optional email already attached.

• First run emits a baseline of current postings (or skip the baseline and start clean).
• Later runs emit only changes, so you pay for signal, not for re-scraping the same board.
• State is per-actor, and resetMonitoringState clears it when you want a fresh baseline.

This is the difference between a one-off export and a standing hiring-signal feed.

🎯 Use cases

Who	What they do with it
Recruiters & sourcing teams	Monitor which companies hire for which stacks across India's tech hubs.
Lead generation	Companies actively hiring are companies actively buying — enriched with emails, each row is an outreach-ready lead.
Job boards & aggregators	Clean structured rows with stable ids for deduplicated ingestion.
Market & salary researchers	Skill demand by city and company size over time.
Founders & analysts	Track competitor hiring as a growth signal, with founding year and headcount context built in.

📥 Supported inputs

Input	Example
Skills / keywords	python, react, data science
City	bangalore, gurgaon, hyderabad, mumbai
Remote only	roles listed under Work From Home
Listing URLs	https://www.instahyre.com/python-jobs-in-bangalore/
Job detail URLs	https://www.instahyre.com/job-439825-backend-engineer-at-biopeak-bangalore/

Not supported: candidate-side pages behind login, applying to jobs, and non-instahyre.com domains.

⚙️ Input parameters

Field	Type	Default	Notes
searchQueries	array	["python"]	One search walk per skill/keyword
city	string	—	Applied to row content (see FAQ)
remoteOnly	boolean	false	Work From Home roles only
startUrls	array	[]	Listing or job URLs; override the search fields
enrichEmails	boolean	false	Employer email discovery, billed per found email
maxItems	integer	1000	Hard cap on billed rows
proxy	object	direct	Direct works; residential fallback kicks in on retries automatically

📦 Output sample

Real row from a live run:

{
    "type": "job",
    "source": "instahyre",
    "jobId": "439825",
    "jobUrl": "https://www.instahyre.com/job-439825-backend-engineer-at-biopeak-bangalore/",
    "title": "Backend Engineer",
    "companyName": "Biopeak",
    "location": "Bangalore",
    "remote": false,
    "skills": ["Java", "Python", "CI / CD", "Golang", "Microservices", "Node.js", "SQL"],
    "companyTagline": "Personalized longevity clinic",
    "companyFounded": 2024,
    "companyEmployeeCount": 10,
    "companyDescription": "Biopeak is a personalised longevity clinic…",
    "companyImage": "https://media.instahyre.com/images/profile/…",
    "acceptsOutstationCandidates": true,
    "applyType": "internal",
    "applyUrl": "https://www.instahyre.com/job-439825-backend-engineer-at-biopeak-bangalore/",
    "scrapedAt": "2026-08-22T12:07:41.512Z"
}

Rows follow the portfolio-wide canonical job shape (same field names as the CutShort, Naukri and RemoteOK scrapers), so multi-source pipelines map one column layout across all of them.

🔑 Output fields

Every job row carries these fields (missing values come back null, never guessed):

Field	What it is
jobId	Stable Instahyre job id — use it as the dedup key
title	Job title
jobUrl / applyUrl	Listing URL and where to apply
applyType	internal (apply on Instahyre) or external
companyName	Hiring company
location / remote	City, and whether the role is Work From Home
skills	Array of the stack the role asks for
companyTagline	One-line company positioning
companyFounded	Founding year — a maturity signal
companyEmployeeCount	Headcount — segment startups vs enterprises
companyDescription	Full company blurb
companyImage	Logo URL
acceptsOutstationCandidates	Whether non-local applicants are considered
contactEmail	Employer email (only when enrichEmails is on and one is found)
scrapedAt	ISO timestamp of the run

The company fields are what most job scrapers drop — they turn a job feed into a company-intelligence feed you can segment by size, age and stack.

❓ FAQ

Can I get a daily feed of only new jobs? Yes — that's monitor mode. Turn on monitoringMode, put the actor on an Apify schedule, and each run returns only postings that appeared since the last one. See the Hiring Monitor section above.

How does the city filter work if the API ignores location parameters? The skill filter narrows the walk server-side; the city/remote filters then keep only rows whose location matches, on our side. Skipped rows are never billed. The trade-off: a very narrow city in a broad skill can take a few extra unbilled pages to fill your maxItems.

Does it include salary? Instahyre's public API does not expose salary on listings, so there is no salary column pretending otherwise.

What does enrichEmails cost? It is billed as an additional-data event only on rows where an email was actually found — see the pricing tab. Discovery uses the company name plus a business-match guard, so unrelated domains are rejected rather than guessed.

Do I need a proxy? No. Instahyre's Cloudflare passes browser-grade TLS from a direct connection; the retry ladder adds residential automatically if a request struggles.

💬 Support

Open an issue on the actor's Issues tab in Apify Console — answered within 1–2 business days.

🛠 Additional services

Scheduled hiring-signal feeds, multi-board merges (Instahyre + CutShort + Naukri), or delivery straight to your CRM — custom builds available, contact me through the actor page.

🔎 Explore more scrapers

Same developer, same canonical row shape: CutShort Jobs, Naukri, RemoteOK, Remote Jobs Aggregator — full portfolio at memo23 on Apify Store.

🤖 For AI Agents & LLM Apps

Stable, typed JSON with a type discriminator and canonical field names shared across the whole jobs family — an agent that learns one scraper's shape can drive them all. Skill search maps cleanly to tool calls; keep maxItems low per call for cost control.

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⚠️ Disclaimer

This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Instahyre or its operators. All trademarks are the property of their respective owners. The scraper accesses only publicly available listing data — no login, no candidate profiles, no private information. Users are responsible for compliance with Instahyre's Terms of Service, applicable data-protection law (GDPR, DPDP Act, CCPA), and their own organisation's obligations, particularly when using contact enrichment for outreach.

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