Job Aggregator — LinkedIn & Naukri

An Apify actor that scrapes fresh job listings from LinkedIn and Naukri based on your job role, skills, experience, and location. Only jobs posted within the last 10 days (configurable) are returned, and every result includes a match score showing how closely the listing aligns with your required skills.

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Features

• Searches LinkedIn and Naukri in a single run
• Filters jobs posted within a configurable number of days (default: 10)
• Calculates a match score (0–100) per job based on skill overlap
• Optionally fetches the full job description from each detail page
• Results are deduplicated and sorted by match score
• Residential proxy support to bypass bot detection

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Input

All inputs are supplied as JSON. Only jobRole and location are required — everything else has sensible defaults.

Full input reference

Field	Type	Required	Default	Description
jobRole	string	Yes	—	Job title to search for, e.g. "React Developer"
location	string	Yes	—	City or region, e.g. "Bangalore", "Mumbai", "Remote"
skills	string[]	No	[]	Skills to match against listings. Used to compute the match score
yearsOfExperience	integer	No	3	Years of experience — used to filter Naukri's experience range
maxDaysOld	integer	No	10	Only include jobs posted within this many days (1–30)
jobsPerPortal	integer	No	15	Maximum jobs to collect per portal (5–50)
portals	string[]	No	["linkedin","naukri"]	Which portals to search. Supported values: linkedin, naukri
useProxy	boolean	No	true	Use Apify residential proxies (strongly recommended)
fetchFullDescription	boolean	No	false	Visit each job's detail page to get the full description. Slower but richer

Minimal input example

{
  "jobRole": "React Developer",
  "location": "Bangalore"
}

Full input example

{
  "jobRole": "React Developer",
  "skills": ["React", "TypeScript", "Redux", "Node.js"],
  "yearsOfExperience": 4,
  "location": "Bangalore",
  "maxDaysOld": 7,
  "jobsPerPortal": 15,
  "portals": ["linkedin", "naukri"],
  "useProxy": true,
  "fetchFullDescription": true
}

Input field details

jobRole

The job title you are searching for. Be specific for better results.

"React Developer"
"Senior Python Engineer"
"Data Scientist"
"DevOps Engineer"
"Full Stack Developer"

skills

A list of skills used to compute the match score. The actor checks how many of your skills appear in the job title and description, then scores the result from 0 to 100. Output is sorted by this score (highest first).

["React", "TypeScript", "GraphQL", "AWS"]

yearsOfExperience

Used to build the Naukri search URL experience range filter (e.g. 4 years builds a range of 4–7 years). Does not affect LinkedIn results.

maxDaysOld

Jobs older than this many days are discarded. LinkedIn uses a time-window filter on the API; Naukri results are filtered by their posted date field.

portals

Choose which portals to run. Both are enabled by default.

Value	Portal
"linkedin"	LinkedIn public guest jobs API
"naukri"	Naukri.com search results

fetchFullDescription

When false (default), the actor uses the description snippet visible on the search results page — fast but brief.

When true, the actor visits each job's detail page individually to retrieve the complete description. This is slower (roughly 2–5× longer run time) but gives you the full requirements, responsibilities, and company details.

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Output

Results are saved to the Apify Dataset. Each item represents one job listing.

Output schema

Field	Type	Description
id	string	Unique identifier (source-hash)
title	string	Job title
company	string	Company name
location	string	Job location
description	string	Snippet or full description (see fetchFullDescription)
requiredSkills	string[]	Skills extracted from the listing (Naukri only)
experience	string	Experience range as shown on the portal
salary	string	Salary if displayed (empty when not disclosed)
jobUrl	string	Direct URL to the job posting
source	string	"LinkedIn" or "Naukri"
postedDate	string	ISO 8601 date the job was posted
postedDaysAgo	number	Days since posting at the time of scraping
matchScore	number	0–100 — percentage of your skills found in the listing
scrapedAt	string	ISO 8601 timestamp of when the data was collected

Sample output item

{
  "id": "naukri-a3f9c1d82b04",
  "title": "React Developer",
  "company": "Infosys Limited",
  "location": "Bangalore",
  "description": "We are looking for an experienced React Developer with strong knowledge of TypeScript, Redux and REST APIs...",
  "requiredSkills": ["React", "TypeScript", "Redux", "REST API"],
  "experience": "4-7 years",
  "salary": "12-18 LPA",
  "jobUrl": "https://www.naukri.com/job-listings-react-developer-infosys-bangalore-4-to-7-years-100526009484",
  "source": "Naukri",
  "postedDate": "2026-05-08T00:00:00.000Z",
  "postedDaysAgo": 2,
  "matchScore": 75,
  "scrapedAt": "2026-05-10T09:45:00.000Z"
}

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Running Locally

Prerequisites

• Node.js 20 or higher
• An Apify account (for proxy access)

Setup

# 1. Install dependencies
npm install

# 2. Copy the env template and add your proxy password
cp .env.example .env

Edit .env:

APIFY_PROXY_PASSWORD=your_proxy_password_here

Get your proxy password from console.apify.com/proxy.

Configure input

Create or Edit storage/key_value_stores/default/INPUT.json:

{
  "jobRole": "React Developer",
  "skills": ["React", "TypeScript", "Redux"],
  "yearsOfExperience": 4,
  "location": "Bangalore",
  "maxDaysOld": 10,
  "jobsPerPortal": 15,
  "portals": ["linkedin", "naukri"],
  "useProxy": true,
  "fetchFullDescription": false
}

Update the package.json scripts

"scripts": {
    "start": "node dist/main.js",
    "build": "npx tsc",
    "dev": "node --env-file=.env --import tsx/esm src/main.ts"
  }

Run

$npm run dev

Results are saved to storage/datasets/default/.

Build for production

npm run build
npm start

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Deploying to Apify

From GitHub (recommended)

1. Push the repository to GitHub
2. Go to console.apify.com → Actors → Create new
3. Connect your GitHub repository
4. Apify will build and deploy automatically on every push to main

Using Apify CLI

npm install -g apify-cli
apify login
apify push

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Calling via Apify API

Run the actor

curl -X POST \
  "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -d '{
    "jobRole": "React Developer",
    "skills": ["React", "TypeScript", "Redux"],
    "yearsOfExperience": 4,
    "location": "Bangalore",
    "maxDaysOld": 10,
    "jobsPerPortal": 15,
    "useProxy": true,
    "fetchFullDescription": false
  }'

Fetch results

curl "https://api.apify.com/v2/actor-runs/RUN_ID/dataset/items" \
  -H "Authorization: Bearer YOUR_API_TOKEN"

JavaScript / Node.js

import { ApifyClient } from 'apify-client';

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

const run = await client.actor('YOUR_ACTOR_ID').call({
  jobRole: 'React Developer',
  skills: ['React', 'TypeScript', 'Redux'],
  yearsOfExperience: 4,
  location: 'Bangalore',
  maxDaysOld: 10,
  jobsPerPortal: 15,
  useProxy: true,
  fetchFullDescription: false,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("YOUR_ACTOR_ID").call(run_input={
    "jobRole": "React Developer",
    "skills": ["React", "TypeScript", "Redux"],
    "yearsOfExperience": 4,
    "location": "Bangalore",
    "maxDaysOld": 10,
    "jobsPerPortal": 15,
    "useProxy": True,
    "fetchFullDescription": False,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

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Proxy & Bot Detection

Portal	Protection	Notes
LinkedIn	Cloudflare	Uses the unauthenticated guest jobs API — lower risk
Naukri	Rate limiting	Residential proxy recommended for bulk runs

Residential proxy (useProxy: true) is strongly recommended. Without it, portals may block the scraper after a few requests. On the Apify platform the proxy password is injected automatically — no manual configuration needed.

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Project Structure

.
├── .actor/
│   ├── actor.json          # Actor metadata
│   └── input_schema.json   # Input form definition for Apify console
├── src/
│   ├── main.ts             # Entry point and crawler orchestration
│   ├── types.ts            # TypeScript interfaces
│   ├── scrapers/
│   │   ├── linkedin.ts     # LinkedIn guest jobs API scraper
│   │   └── naukri.ts       # Naukri search results scraper
│   └── utils/
│       ├── dateParser.ts   # Relative date parsing ("2 days ago" → Date)
│       ├── descriptionFetcher.ts  # Detail page description fetcher
│       ├── helpers.ts      # Match score, dedup, ID generation
│       └── urlBuilder.ts   # Search URL construction per portal
├── .env.example            # Environment variable template
├── Dockerfile              # Apify-compatible container definition
└── package.json

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License

MIT