Multi-Platform Job Scraper

Scrape job listings from 10 job platforms in a single run — LinkedIn, Indeed, Glassdoor, ZipRecruiter, Naukri, Bayt, Greenhouse, Lever and Ashby. Export clean, normalized data to JSON, CSV, Excel, or any downstream tool via the Apify API.

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Overview

Multi-Platform Job Scraper aggregates structured job data from the world's leading general and regional job boards, plus direct company ATS portals, in a single Apify Actor run. Give it a list of keywords, a location, and the platforms you care about — it returns clean, normalized job records across all of them.

Ideal for job market research, competitor hiring intelligence, lead generation, salary benchmarking, and building automated job alert pipelines.

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Features

• 9 platforms in one run — LinkedIn, Indeed, Glassdoor, ZipRecruiter, Naukri, Bayt, Greenhouse, Lever, Ashby
• Multi-keyword search — each keyword runs as an independent search on every selected platform
• Global + regional coverage — general boards, US-focused (ZipRecruiter), India (Naukri), Middle East (Bayt), and direct ATS portals (Greenhouse, Lever, Ashby)
• Normalized output — every platform produces the same schema: source, title, company, location, salary, postedDate, description, jobUrl, and more
• Advanced filters — date posted, seniority level, job type, remote-only, minimum salary (LinkedIn & Indeed)
• Smart salary extraction — extracts compensation from job descriptions when structured salary data is absent
• Anti-bot protection for LinkedIn — browser fingerprinting, session pooling, randomized request delays, residential proxy support
• Flexible proxy support — Apify Proxy (Residential recommended) or custom proxy URLs
• Multiple export formats — JSON, CSV, Excel, XML, JSON Lines via the Apify Dataset API

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Use Cases

Use Case	Example
Job market research	Search "Data Scientist" across LinkedIn + Indeed + Glassdoor to benchmark demand and compensation
Competitor hiring intelligence	Monitor which roles a rival is actively posting by searching their Greenhouse or Lever board
Lead generation	Identify companies hiring specific roles — a proven buying signal for B2B SaaS and staffing agencies
Job alert pipeline	Schedule daily runs; trigger Zapier or Make notifications when new matching roles appear
Salary benchmarking	Aggregate salary data across platforms for a specific role and city
ATS monitoring	Track new openings across 175+ tech companies using Greenhouse, Lever, and Ashby
Academic research	Collect structured job market data for labor economics studies

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Platforms

Platform	Region
LinkedIn	Global
Indeed	Global
Glassdoor	Global
ZipRecruiter	United States
Naukri	India
Bayt	Middle East
Greenhouse	Global
Lever	Global
Ashby	Global

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Input

Field	Type	Required	Default	Description
platforms	Array	✅	["linkedin"]	Platforms to scrape. Valid values: linkedin, indeed, glassdoor, zip_recruiter, naukri, bayt, greenhouse, lever, ashby
keywords	Array	✅	["Software Engineer"]	Job search terms. Each keyword triggers a separate search on every selected platform. Example: ["React Developer", "Frontend Engineer"]
location	String	—	—	City, state or country. Example: "London", "New York, NY"
minJobs	Integer	—	10	Target number of jobs per keyword per platform. Total ≈ minJobs × keywords × platforms
salary	Select	—	—	Minimum annual salary (USD). Options: $40,000+ through $200,000+. Supported on LinkedIn and Indeed only
postedDate	Select	—	—	Maximum job age. Options: Past 24 hours, Past week, Past month
jobType	Select	—	—	Employment type. Options: Full-time, Part-time, Contract, Temporary, Volunteer, Internship, Other
jobLocationType	Select	—	all	all = any location. remote = remote-only positions
seniorityLevel	Select	—	—	Seniority filter (LinkedIn only). Options: Internship, Entry level, Associate, Mid-Senior level, Director, Executive
proxyConfiguration	Object	—	—	Proxy settings. Residential proxies strongly recommended for LinkedIn

Example Input

{
    "platforms": ["linkedin", "indeed", "greenhouse"],
    "keywords": ["Software Engineer", "Backend Developer"],
    "location": "San Francisco, CA",
    "minJobs": 25,
    "jobType": "Full-time",
    "postedDate": "Past week",
    "jobLocationType": "all",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Tip: Total results ≈ minJobs × keywords × platforms. With the example above: 25 × 2 × 3 = up to 150 jobs. Actual count may be lower if fewer results exist on a platform.

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Output

Each scraped job is stored as a JSON object in the Apify Dataset.

Field	Type	Description
source	String	Platform — e.g. "linkedin", "indeed", "greenhouse"
title	String | null	Job title
company	String | null	Company name
location	String | null	Job location
jobUrl	String	Direct link to the original posting
salary	String | null	Salary (structured data or extracted from description)
postedDate	String | null	When the job was posted
description	String | null	Full job description text
applicants	String | null	Number of applicants (LinkedIn only)
jobType	String | null	Employment type
seniorityLevel	String | null	Seniority level (LinkedIn only)
industry	String | null	Company industry (LinkedIn only)
scrapedAt	String (ISO 8601)	UTC timestamp when this record was collected

Example Output Record

{
    "source": "linkedin",
    "title": "Senior Software Engineer",
    "company": "Acme Corp",
    "location": "San Francisco, CA",
    "jobUrl": "https://www.linkedin.com/jobs/view/123456789",
    "salary": "$140,000–$180,000/year",
    "postedDate": "2 days ago",
    "description": "We are looking for a Senior Software Engineer to join our growing team...",
    "applicants": "47 applicants",
    "jobType": "Full-time",
    "seniorityLevel": "Mid-Senior level",
    "industry": "Computer Software",
    "scrapedAt": "2025-06-01T12:00:00.000Z"
}

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Integrations

Tool	How to Connect
Zapier	Apify Zapier app → "Actor Run Finished" trigger → access dataset items
Make (Integromat)	Apify Make module → schedule runs and process results
n8n	HTTP Request node or community Apify n8n node
REST API	GET https://api.apify.com/v2/datasets/{datasetId}/items — JSON, CSV, Excel, XML, RSS
Webhooks	Apify webhook fires on "Run succeeded" → POST results to your own endpoint
Apify Scheduler	Automate recurring runs (daily, weekly, or any cron expression)
Google Sheets	Export via the Apify → Google Sheets integration in the Console

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FAQ

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Troubleshooting

LinkedIn returns 0 results

• Enable Apify Residential Proxy (useApifyProxy: true, group RESIDENTIAL).
• Reduce minJobs to 10 or fewer for initial tests.
• Use broader keywords — LinkedIn's public API returns fewer results for very specific queries.
• Some proxy IP ranges are geo-blocked by LinkedIn; try a different proxy country or group.

Indeed / Glassdoor returns 0 results

• Verify the keyword + location combination returns results on the platform's website directly.
• Try without a location filter first to confirm the keyword works.
• Check proxy connectivity — test without a proxy first at low volumes.

Greenhouse / Lever / Ashby returns no matches

• Try broader keywords — matching is done on job titles only.

Salary is always null

• Many jobs do not publish salary data. The Actor tries extraction from descriptions as a fallback.
• The salary filter limits which jobs are returned; it does not guarantee that returned jobs include salary text.

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Limitations

Limitation	Details
LinkedIn result cap	1,000 per keyword (LinkedIn public limit)
LinkedIn rate limiting	Bot-sensitive; residential proxies required
Salary filter	LinkedIn and Indeed only
Seniority filter	LinkedIn only
Applicant count	LinkedIn only
Deduplication	Same job may appear under multiple keywords