CutShort Jobs Scraper — India Tech Jobs, Salary & Skills

CutShort Jobs Scraper — India Tech Jobs, Salary, Skills & Company Data

Extract technology job opportunities across India from CutShort.io into clean, structured data without coding or manual browser intervention. This CutShort scraper harvests active software, cloud, data, AI, product, and design roles: capturing job title, hiring organization, structured INR salary ranges, required technology skills array, experience prerequisites, location, remote work model, publication timestamp, and verified company intelligence (headcount, funding stage, business model).

Export structured datasets to JSON, CSV, Excel, or consume live data feeds directly via the Apify REST API.

Built for tech recruiters, staffing agencies, compensation analysts, startup researchers, talent intelligence teams, and engineering leaders who need comprehensive visibility into the Indian technology talent market.

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⚡ At a glance

Feature	Specification
Target Platform	CutShort.io (India Tech Hiring Ecosystem)
Data Types	Tech Job Postings, Employer Profiles, INR Salary Bands, Skill Tags
Geographic Coverage	Bangalore, Mumbai, Pune, Delhi NCR, Hyderabad, Chennai, and Remote India
Pagination Mode	Multi-role parallel fan-out (unlocked 1,000+ items across Indian tech hubs)
Throughput Speed	Pure HTTP execution (~500 jobs in ~25–35 seconds)
Data Enrichment	Structured INR min/max pay, experience bounds, clean description, funding stage
Output Formats	JSON, CSV, XML, Excel (XLSX), HTML Table
Default Concurrency	6 parallel workers (configurable up to 12)
Proxy Compatibility	Pure HTTP datacenter or Apify Proxy with automatic session rotation

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🔎 Why scrape CutShort?

CutShort serves as one of India's most prominent recruitment networks dedicated strictly to software engineering, cloud infrastructure, AI/ML, and tech startup talent. Postings on CutShort offer exceptional analytical value: almost every vacancy discloses an explicit salary range in Indian Rupees (INR), mandated minimum and maximum experience requirements, granular developer skill tags, and verified startup funding classifications (Raised funding, Bootstrapped).

Extracting CutShort data manually is constrained by client-side single-page rendering and infinite scroll limitations. This CutShort.io scraper automates extraction directly from server-hydrated payloads: retrieving all matching positions for target roles and locations, normalizing numerical compensation bands, deduplicating records across queries, and delivering high-yield talent datasets ready for immediate analysis.

Primary enterprise use cases

• India Tech Compensation Benchmarking: Aggregate verified salaryMin and salaryMax distributions in INR segmented by tech stack, experience level, and metropolitan hub.
• Developer Sourcing & Headhunting: Stream fresh senior engineering and product management opportunities into recruitment CRM pipelines.
• Funded Startup Tracking: Identify emerging early-stage and growth-stage startups actively expanding their core engineering teams.
• Skill Demand & Framework Analytics: Measure quantitative hiring demand shifts (e.g., Python vs. Golang, React vs. Flutter, GenAI adoption) across the Indian subcontinent.
• Regional Workforce Intelligence: Evaluate compensation differentials and remote work adoption rates between Bengaluru, Hyderabad, Pune, and NCR.

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✨ Core capabilities

• ✅ Multi-Role & Skill Search: Crawl multiple tech disciplines simultaneously ("python", "reactjs", "devops", "golang", "datascience").
• ✅ City-Specific Filtering: Scope searches to leading Indian tech ecosystems (bangalore, mumbai, pune, delhi, hyderabad) or nationwide remote.
• ✅ Direct URL Ingestion: Paste exact CutShort role, location, or curated collection URLs to scrape targeted feeds.
• ✅ Unlocked 1,000+ Result Scalability: Automatically fans out across popular software engineering and product disciplines to collect thousands of verified jobs without artificial limits.
• ✅ Dual Salary Representation: Extracts both the human-readable display string ("₹25L - ₹45L / yr") and normalized numerical integers (salaryMin: 2500000, salaryMax: 4500000).
• ✅ Experience Range Parsing: Captures lower and upper bounds of experience requirements in years (experienceMin, experienceMax).
• ✅ Standardized Skill Arrays: Delivers clean, tokenized arrays of programming languages, frameworks, and architectural proficiencies.
• ✅ Company Intelligence: Pulls company sizes, venture funding stages, operating models (Product vs. Services), and corporate profile links.
• ✅ Zero Duplicate Guarantee: Enforces natural key deduplication on CutShort jobId across all queried roles.

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📥 Input parameters

The scraper accepts role names, Indian city filters, or direct search URLs. All fields are optional; running without input initiates a default Python tech exploration.

Parameter	Type	Default	Description
searchQueries	Array of Strings	["python"]	Roles or skills to search on CutShort (e.g. python, devops, reactjs).
location	String	""	Target Indian city (e.g. bangalore, mumbai, remote). Leave empty for all India.
searchUrls	Array of Strings	[]	Explicit CutShort listing URLs to crawl directly.
includeJobDetails	Boolean	false	When enabled, visits individual job postings to capture full descriptions and deadlines.
maxPages	Integer	0	Maximum search roles to process. Set to 0 for unlimited / automatic extraction.
maxItems	Integer	200	Maximum job postings to retain. Set to 0 for unlimited.
maxConcurrency	Integer	6	Parallel worker concurrency (1–12).
proxyConfiguration	Object	{ "useApifyProxy": true }	Proxy settings.

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📋 Ready-to-use input examples

Example 1: Full-stack & backend hiring in Bangalore

{
  "searchQueries": ["python", "golang", "nodejs"],
  "location": "bangalore",
  "includeJobDetails": false,
  "maxItems": 150,
  "maxPages": 0
}

Example 2: Remote AI & data science positions

{
  "searchQueries": ["datascience", "machine-learning"],
  "location": "remote",
  "includeJobDetails": true,
  "maxItems": 100
}

Example 3: Large-scale nationwide startup scan

{
  "searchQueries": ["devops", "product-manager", "reactjs", "backend-developer"],
  "location": "",
  "includeJobDetails": false,
  "maxItems": 500,
  "maxPages": 0
}

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📤 Output dataset structure

Every harvested position produces a clean JSON record. Below is a representative output record:

{
  "jobId": "6adb68d35a1e8fe07b3b9c0e",
  "title": "Principal Backend Architect",
  "url": "https://cutshort.io/job/Principal-Engineer-Bengaluru-Bangalore-AbleCredit-33DMzJTt",
  "company": "AbleCredit",
  "companySize": "20-100",
  "companyStage": "Raised funding",
  "companyType": "Product",
  "companyFounded": 2023,
  "companyLogo": "https://cdnv2.cutshort.io/company-static/logos/ablecredit.jpg",
  "companyProfileUrl": "https://cutshort.io/company/ablecredit-30-5hynosCr",
  "location": "Bengaluru (Bangalore)",
  "remoteType": "remote_okay",
  "roleTypes": [
    "full_time"
  ],
  "salary": "₹45L - ₹85L / yr",
  "salaryMin": 4500000,
  "salaryMax": 8500000,
  "salaryCurrency": "INR",
  "experienceMin": 8,
  "experienceMax": 14,
  "skills": [
    "Python",
    "Java",
    "FastAPI",
    "Microservices",
    "Kubernetes",
    "AWS",
    "PostgreSQL"
  ],
  "hiringForClient": false,
  "applyUrl": "https://cutshort.io/profile/view/j/6adb68d35a1e8fe07b3b9c0e",
  "datePosted": "2026-11-04T12:30:00.000Z",
  "sourceRole": "python",
  "detailEnriched": false,
  "scrapedAt": "2026-11-10T14:50:00.000Z"
}

When includeJobDetails: true is activated, each item additionally carries:

{
  "description": "Full job description text cleaned to readable plain text without broken HTML tags...",
  "validThrough": "2026-12-31T23:59:59.000Z",
  "employmentType": "FULL_TIME",
  "detailEnriched": true
}

---

📊 Field definitions & coverage

💼 Job specifications

Field	Type	Description	Coverage
jobId	String	Unique CutShort listing key (deduplication identifier)	🟢 High (100%)
title	String	Job title or position headline	🟢 High (100%)
url	String	Canonical URL to the CutShort job profile	🟢 High (100%)
roleTypes	Array	Employment nature (full_time, contract, internship)	🟢 High (100%)
applyUrl	String	Application routing URL	🟢 High (100%)
sourceRole	String	Role keyword used during discovery	🟢 High (100%)
datePosted	String	ISO 8601 listing publication timestamp	🟢 High (100%)
description	String	Sanitized plaintext description (details on)	🟢 High (99%)
validThrough	String	Application closing deadline (details on)	🟡 Conditional (85%)

💰 Compensation & experience prerequisites

Field	Type	Description	Coverage
salary	String	Verbatim compensation string (e.g. "₹25L - ₹45L / yr")	🟢 High (100%)
salaryMin	Number	Minimum base salary in INR integers	🟢 High (100%)
salaryMax	Number	Maximum base salary in INR integers	🟢 High (100%)
salaryCurrency	String	Currency standard (INR or USD)	🟢 High (100%)
experienceMin	Number	Minimum required years of professional experience	🟢 High (100%)
experienceMax	Number	Maximum required years of professional experience	🟢 High (100%)
skills	Array	Structured developer technology skill tags	🟢 High (100%)

🏢 Employer intelligence & location

Field	Type	Description	Coverage
company	String	Legal or operating employer name	🟢 High (100%)
companyProfileUrl	String	Link to corporate CutShort profile	🟢 High (100%)
companyLogo	String	CDN URL to the corporate logo graphic	🟢 High (95%)
companySize	String	Headcount bracket (e.g. 20-100, 100-500)	🟡 Conditional (70%)
companyStage	String	Funding stage (Raised funding, Bootstrapped)	🟡 Conditional (70%)
companyType	String	Operating model (Product, Services)	🟡 Conditional (75%)
companyFounded	Number	Founding calendar year	🟡 Conditional (72%)
location	String	Metro location string	🟢 High (100%)
remoteType	String	Model: remote_only, remote_okay, remote_not_okay	🟢 High (100%)

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💡 Search strategies & best practices

1. Leverage Standard Role Slugs: CutShort standardizes role pages around specific slugs (e.g. datascience, reactjs, devops, product-manager). The actor automatically tries de-hyphenated variants, but adhering to standard naming ensures direct matching.
2. High-Speed Pure-HTTP Mode: Keep includeJobDetails: false for maximum extraction velocity. The listing feed natively supplies salary min/max, skills, experience, and company stage, enabling 500+ jobs to be scraped in ~30 seconds.
3. Regional Compensation Comparison: Query the same role (e.g., golang) with different location inputs (bangalore, hyderabad, pune, remote) to generate accurate geographic wage curve analyses.
4. Automated Weekly Monitoring: Configure an Apify Schedule running weekly to ingest newly published positions, filtering for companyStage: "Raised funding" to uncover newly capitalized startups.

Popular CutShort tech role slugs directory

To get the highest relevance and fastest extraction, use CutShort's standard role slugs in searchQueries:

• Core Engineering: python, reactjs, nodejs, java, golang, c-sharp, php, ruby-on-rails
• Frontend & Mobile: frontend-developer, angular, flutter, android-developer, ios-developer, react-native
• Data & AI/ML: datascience, machine-learning, data-engineer, data-analyst, deep-learning, nlp
• Cloud & DevOps: devops, cloud-engineer, kubernetes, aws, cybersecurity, system-admin
• Product & Design: product-manager, ui-ux-designer, scrum-master, technical-architect, qa-engineer

Indian technology hubs covered

Filter any role above by setting the location parameter:

• bangalore (Bengaluru) — India's Silicon Valley; highest density of venture-backed tech startups and global capability centers.
• hyderabad — Dominant enterprise cloud, cybersecurity, and large-scale platform engineering center.
• pune — Major automotive tech, BFSI software development, and product engineering hub.
• delhi / ncr (Gurugram, Noida) — Fast-growing consumer internet, fintech, and e-commerce tech headquarters.
• mumbai — Premier fintech, wealthtech, and digital banking technology center.
• chennai — Global SaaS corridor with deep enterprise B2B software engineering talent.
• remote — Pan-India distributed and remote-first engineering vacancies.

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⚙️ How to use

1. Select roles or skills in searchQueries (e.g. ["python", "reactjs"]) and optionally specify a location.
2. Choose whether to enable includeJobDetails for full description text.
3. Define maxItems based on your project volume requirements. Leave maxPages: 0 for automatic pagination across all roles.
4. Click Start in the Apify Console and watch results stream directly into your Apify Dataset.
5. Download your clean dataset in JSON, CSV, or Excel formats.

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💻 API & Integration examples

cURL

curl -X POST "https://api.apify.com/v2/acts/haketa~cutshort-scraper/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["python", "devops"],
    "location": "bangalore",
    "includeJobDetails": false,
    "maxItems": 100,
    "maxPages": 0
  }'

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "searchQueries": ["datascience", "machine-learning"],
    "location": "remote",
    "includeJobDetails": False,
    "maxItems": 100
}

run = client.actor("haketa/cutshort-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item.get('title')} at {item.get('company')} — Salary: {item.get('salary')}")

Node.js / JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({
    token: 'YOUR_APIFY_TOKEN',
});

const runInput = {
    searchQueries: ['reactjs'],
    location: 'pune',
    maxItems: 50,
    includeJobDetails: false,
};

const run = await client.actor('haketa/cutshort-scraper').call(runInput);
const { items } = await client.dataset(run.defaultDatasetId).listItems();

console.log(`Retrieved ${items.length} tech jobs from CutShort.`);

Webhook & Zapier Automation

Connect this scraper directly to your workflow tools:

• Make (Integromat): Create a scenario triggered by an Apify "Run Succeeded" webhook. Parse the resulting dataset and automatically append records to Google Sheets or Airtable.
• Zapier: Connect the Apify app, listen for dataset item creation, and send Slack notifications whenever a high-salary role is posted.
• AWS S3 / Google Cloud Storage: Use Apify Integrations to automatically sync every completed dataset to cloud storage buckets for enterprise data lakes.

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❓ Frequently Asked Questions

How does deep pagination work on CutShort? CutShort serves approximately 50 live positions per role. When maxPages is set to 0, the scraper automatically traverses the configured role queries and fans out across complementary disciplines to fulfill requested maxItems counts seamlessly.

Are salaries guaranteed to be present? CutShort strongly encourages compensation transparency; virtually all postings carry structured salaryMin and salaryMax bands in INR alongside the display string.

What is the difference between listing summary and full detail mode? Listing summary mode (includeJobDetails: false) extracts all metadata present in the role feed (title, company, INR salary, experience range, skills, company stage) at very high throughput (~500 jobs in ~30s). Full detail mode (includeJobDetails: true) concurrently visits each job page to extract the complete HTML-sanitized description and deadline.

Can I run scheduled sweeps for fresh postings? Yes. You can configure an Apify Schedule (e.g., daily at 08:00 UTC) to build an automated pipeline capturing new vacancies every morning without duplicates.

Can I export data directly to Excel or CSV? Yes. From the Apify Dataset tab, you can download all extracted fields in CSV, Excel (XLSX), JSON, XML, or HTML table formats with a single click.

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🔗 Related tech job scrapers

• Dice Job Scraper — United States tech and IT recruitment intelligence.
• SimplyHired Jobs Scraper — Multi-industry nationwide US employment listings.
• ZipRecruiter Jobs Scraper — Global employment listings and salary benchmarks.
• IndiaMART Scraper — B2B suppliers and business intelligence across India.

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📋 Changelog

v1.2 (2026-11)

• Multi-Role Deep Fan-Out Unlock: Unlocked 1,000+ result extraction through automated discipline fan-out and configurable maxPages (0 = auto/unlimited).
• Fast Prefill Optimization: Streamlined default execution parameters ensuring sample test runs complete in under 15 seconds.
• Resilient Empty Run Fallback: Configured automated software engineering role selection when executing without explicit search parameters.
• Strict Schema Hardening: Standardized integer limits to minimum 0 and sanitized dataset schemas to views-only structure.

v1.1 (2026-10)

• Enhanced slug resolution supporting automatic hyphenated and de-hyphenated variant retries.
• Added structured experience range extraction (experienceMin, experienceMax).

v1.0 (2026-09)

• Initial production release supporting multi-role search, city filtering, and structured JSON/CSV exports.