Jobs Search API — Indeed, LinkedIn & Glassdoor in One Run 🧲

🎉 Every major job board in one run — Indeed, LinkedIn, Glassdoor & ZipRecruiter aggregated and deduped via Google for Jobs, no API key required

Built for recruiters, sourcing tools, job-board founders, labor-market analysts, and HR-tech teams who need clean, structured job data on a schedule

📋 Overview

One query, every board. Most job scrapers on the Store cover a single source — LinkedIn or Indeed or Glassdoor — so you run several actors and dedupe by hand. This actor wraps Google for Jobs, which already aggregates Indeed, LinkedIn, Glassdoor, ZipRecruiter and company career pages into one deduped feed. Type a query, click Run, get clean JSON back. No API key, no developer registration, no proxy setup.

It bundles 4 operations behind a single dropdown: keyword Job Search across every board, deep Job Details with recruiting-intelligence columns (seniority, required tech stack, experience years, visa & relocation), Estimated Salary by title and location, and Company Salary for a specific employer. Pick one operation per run, get one tidy dataset out.

Why thousands of professionals choose us:

• ✅ All boards in one run: Indeed, LinkedIn, Glassdoor, ZipRecruiter and career pages aggregated and deduped by Google for Jobs — no more running one scraper per board
• ⚡ 4 operations in one actor: Job Search · Job Details · Estimated Salary · Company Salary, picked from one dropdown
• 🎯 The column nobody else returns: Job Details enriches each posting with seniorityLevel, requiredTechnologies, requiredExperienceYears, visaSponsorship, relocationAssistance, aiMlInvolved, industry and jobFunction — a recruiting-intelligence set single-board scrapers don't expose
• 💰 Pay only for successful rows: failed lookups land as status:"error" rows at $0 — you're never billed for a hiccup
• 💎 Salary estimation built in: estimated pay by title + location and per company, with base and additional pay across hourly, monthly and yearly periods — no separate actor to buy
• ✨ No API key, zero setup: no Indeed API key, no LinkedIn developer account, no Google for Jobs approval — paste an input and run

✨ Features

• 🔍 Job Search: free-form keyword search across every board via Google for Jobs, cursor-paginated (~10 jobs/page), with date, employment-type, remote, and experience filters
• 📄 Job Details: deep single-job enrichment — required and preferred technologies, seniority, experience years, visa sponsorship, relocation, education, work arrangement, industry and salary range, by Job ID
• 💵 Estimated Salary: estimate pay for any title + location, broken down into base and additional pay across hourly, monthly and yearly periods, with a confidence score
• 🏢 Company Salary: benchmark estimated pay for a title inside a specific employer (e.g. software engineer at Google)
• 🌍 40+ countries: query any market with a simple ISO country code (us, gb, ca, de, in, …)
• 🧑‍💼 Native Filters: date posted, employment type (FULLTIME/CONTRACTOR/PARTTIME/INTERN), remote-only, experience and education requirements, publisher exclusions
• 📍 Geo-Ready Rows: every job carries city, state, country, latitude and longitude — plot postings on a map out of the box
• 🔗 Direct Apply Links: applyLink, applyIsDirect and all applyOptions so you can route candidates straight to the source
• 🖼️ Employer Logos & Sites: employerName, employerLogo and employerWebsite on every posting for branded feeds
• 📊 Single Clean Dataset Shape: one flat row per item, filterable by _operation and status — the same export pipeline works across all four operations

🎬 Quick Start

So simple, no training needed! Pick an operation, fill the matching input, click Run.

# Or use the API — one line
curl -X POST https://api.apify.com/v2/acts/sian.agency~jsearch-jobs-scraper/runs?token=YOUR_TOKEN \
-d '{"operation":"jobSearch","query":"software engineer in new york","maxPages":3}'

🚀 Getting Started (3 Simple Steps)

Step 1: Pick an Operation

Choose one of four operations from the dropdown: Job Search, Job Details, Estimated Salary, or Company Salary. One run = one operation.

Step 2: Fill the Matching Input

• Job Search → a query (e.g. software engineer in new york)
• Job Details → a jobId from any search result
• Estimated Salary → a jobTitle + location
• Company Salary → a jobTitle + company

Optionally set country, datePosted, employmentTypes, workFromHome, and maxPages.

Step 3: Click Run

One click and we search, flatten, normalize, and push clean rows to your dataset. An HTML run report lands in the key-value store. Export to JSON, CSV, or Excel from the Apify console — or pull via API.

That's it! In seconds, you'll have:

• Clean flat rows from any of four operations — same shape, ready to export
• Jobs aggregated across Indeed, LinkedIn, Glassdoor and ZipRecruiter, already deduped
• Apply links, employer logos, geo-coordinates and salary ranges on every posting
• Recruiting-intelligence fields (seniority, required tech, experience) from Job Details
• Error rows for failed inputs — never billed

📥 Input Configuration

One operation per run. Each operation has its own required field (validated before charging). The remaining filters apply to Job Search and the salary operations where relevant.

Field	Type	Required	Description
operation	enum	Yes	One of: jobSearch, jobDetails, estimatedSalary, companySalary
query	string	jobSearch	Free-form search (e.g. software engineer in new york)
jobId	string	jobDetails	Job ID from a search row (e.g. 22jWL_JNHtSxAieXAAAAAA==)
jobTitle	string	estimatedSalary, companySalary	Title to estimate pay for (e.g. software engineer)
location	string	estimatedSalary	Location to estimate pay for (e.g. United States)
company	string	companySalary	Company to benchmark in-company pay (e.g. Google)
country	string	No	ISO country code for search/details (us default, gb, ca, de, in…)
datePosted	enum	No (search)	all, today, 3days, week, month
employmentTypes	string	No (search)	Comma-separated: FULLTIME, CONTRACTOR, PARTTIME, INTERN
workFromHome	boolean	No (search)	Return only remote / work-from-home jobs
jobRequirements	string	No (search)	Experience/education filters (e.g. more_than_3_years_experience)
locationType / yearsOfExperience	enum	No (salary)	Scope and experience bracket for salary estimates
maxPages	integer	No (search)	1–20, ~10 jobs/page (default 3)

Example — Job Search:

{
  "operation": "jobSearch",
  "query": "software engineer in new york",
  "datePosted": "week",
  "employmentTypes": "FULLTIME",
  "maxPages": 3
}

Example — Job Details (single posting):

{
  "operation": "jobDetails",
  "jobId": "22jWL_JNHtSxAieXAAAAAA=="
}

Example — Estimated Salary:

{
  "operation": "estimatedSalary",
  "jobTitle": "registered nurse",
  "location": "United States"
}

Example — Company Salary:

{
  "operation": "companySalary",
  "jobTitle": "software engineer",
  "company": "Google"
}

💡 Workflow tip: Run Job Search to discover Job IDs, then loop Job Details per posting to enrich each one with required skills, seniority and experience.

📤 Output

One flat row per item, saved to the Apify dataset. Search and details rows carry job fields; salary rows carry pay fields. Curated camelCase aliases land on every row alongside the raw upstream data. Filter by _operation to split modes, or by status to separate success from error rows.

Field	Type	Description
jobId	string	Stable Job ID (use with Job Details)
jobTitle	string	Job title
employerName / employerLogo / employerWebsite	string	Employer identity
jobPublisher	string	Source board (Indeed, LinkedIn, Glassdoor…)
employmentType	string	Full-time, Contractor, etc.
applyLink / applyIsDirect / applyOptions	string / boolean / array	Apply destinations
isRemote	boolean	Remote / work-from-home flag
location / city / state / country	string	Location breakdown
latitude / longitude	number	Geo-coordinates
postedAt / postedAtTimestamp / postedAtUtc	string / integer	When the job was posted
salaryString / minSalary / maxSalary / medianSalary	string / number	Pay range on the posting
seniorityLevel / requiredExperienceYears	string / number	Recruiting-intelligence (Job Details)
requiredTechnologies / preferredTechnologies	array	Tech-stack mapping (Job Details)
visaSponsorship / relocationAssistance / aiMlInvolved	boolean	Enrichment flags (Job Details)
industry / jobFunction / educationRequired	string	Role classification (Job Details)
minBaseSalary / medianBaseSalary / maxBaseSalary	number	Salary estimate breakdown
minAdditionalPay / medianAdditionalPay / maxAdditionalPay	number	Bonus / additional pay
salaryPeriod / salaryCurrency / confidence	string	Salary metadata (Estimated / Company Salary)
_operation / _fetchedAt / _page / status	metadata	Always-present row metadata

All three examples below are real captured output (June 2026; trimmed to the most useful fields):

Example — Job Search row:

{
  "_operation": "jobSearch",
  "jobId": "22jWL_JNHtSxAieXAAAAAA==",
  "jobTitle": "Software Engineer, Full Stack",
  "employerName": "Plaid",
  "jobPublisher": "Plaid",
  "employmentType": "Full-time",
  "isRemote": false,
  "location": "New York, NY",
  "applyLink": "https://plaid.com/careers/openings/engineering/new-york-city-office/...",
  "applyIsDirect": true,
  "status": "success"
}

Example — Job Details row (recruiting-intelligence enrichment):

{
  "_operation": "jobDetails",
  "jobId": "22jWL_JNHtSxAieXAAAAAA==",
  "jobTitle": "Software Engineer, Full Stack",
  "employerName": "Plaid",
  "seniorityLevel": "mid",
  "requiredExperienceYears": 2,
  "requiredTechnologies": ["HTML", "CSS", "JavaScript", "MySQL"],
  "preferredTechnologies": [],
  "workArrangement": "On-site",
  "visaSponsorship": false,
  "relocationAssistance": false,
  "aiMlInvolved": false,
  "industry": "Financial Services",
  "jobFunction": "Engineering",
  "minSalary": 176000,
  "maxSalary": 227000,
  "status": "success"
}

Example — Estimated Salary row:

{
  "_operation": "estimatedSalary",
  "jobTitle": "Registered Nurse",
  "location": "United States",
  "minSalary": 85518.83,
  "medianSalary": 100960.41,
  "maxSalary": 120101.77,
  "salaryPeriod": "YEAR",
  "salaryCurrency": "USD",
  "confidence": "CONFIDENT",
  "status": "success"
}

💼 Use Cases & Examples

1. Multi-Board Job Aggregation — One Deduped Feed

For job-board founders and aggregator apps that need every board without running one scraper per source.

Input: Schedule jobSearch on your target queries on a daily cron Output: Postings from Indeed, LinkedIn, Glassdoor, ZipRecruiter and career pages — already deduped by Google for Jobs — with apply links, logos and geo-coordinates Use: Power a niche job board or sourcing tool with fresh, structured listings, without scraping each source site directly.

2. Recruitment Market Intelligence — Quantify Hiring Demand

For labor-market analysts and HR-tech teams measuring hiring demand by role and region.

Input: jobSearch paginated across roles and locations, filtered by datePosted Output: Hundreds of postings with employer, location, employment type, remote flag and posting date Use: Track which employers are hiring, how fast postings turn over, and how demand shifts by geography — feed structured rows straight into dashboards and reports.

3. Required-Skills & Tech-Stack Mapping

For technical recruiters and competitive-intelligence teams mapping the skills landscape for a role.

Input: jobDetails looped over Job IDs collected from a search run Output: requiredTechnologies, preferredTechnologies, seniorityLevel, requiredExperienceYears, educationRequired and the aiMlInvolved flag per posting Use: Build a skills map for any role, compare your own job specs against the market, and spot which technologies are trending in your sector.

4. Salary Benchmarking — Title & Company

For compensation teams, salary tools and offer-letter builders that need pay benchmarks.

Input: estimatedSalary by title + location, plus companySalary for specific employers Output: Base and additional pay (min / median / max) across hourly, monthly and yearly periods, with a confidence score Use: Power compensation calculators, salary guides and offer letters with defensible, location-aware pay estimates.

5. Job-Board & ATS Product Feeds

For product teams building a job aggregator, sourcing tool or applicant-tracking integration.

Input: jobSearch on a schedule, enriched with jobDetails per posting Output: Apply links, employer logos, location coordinates, benefits and full job descriptions in one clean shape Use: Feed your product with fresh, structured postings — including direct apply routing — without maintaining a scraper for each source.

6. Remote-Work Trend Research

For researchers and remote-work platforms tracking the remote hiring market.

Input: jobSearch with workFromHome: true across roles and weeks Output: Remote-only postings with employer, salary range, employment type and posting date Use: Quantify remote hiring trends, surface remote-friendly employers, and benchmark remote pay against on-site roles.

🔌 Integration Examples

JavaScript/Node.js

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_TOKEN' });

// Search jobs, then enrich the first posting with full details
const search = await client.actor('sian.agency/jsearch-jobs-scraper').call({
  operation: 'jobSearch',
  query: 'software engineer in new york',
  maxPages: 2
});

const { items } = await client.dataset(search.defaultDatasetId).listItems();
const ids = items.filter(i => i.status === 'success').map(i => i.jobId);
console.log(`${ids.length} jobs found`);

Python

from apify_client import ApifyClient
client = ApifyClient('YOUR_TOKEN')

# Estimate salary for a title and location
run = client.actor('sian.agency/jsearch-jobs-scraper').call(
    run_input={'operation': 'estimatedSalary', 'jobTitle': 'registered nurse', 'location': 'United States'}
)

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    if item.get('status') == 'success':
        print(f"{item['jobTitle']} — median {item['medianSalary']} {item['salaryCurrency']}/{item['salaryPeriod']}")

cURL

curl -X POST 'https://api.apify.com/v2/acts/sian.agency~jsearch-jobs-scraper/runs?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' \
-d '{"operation":"jobDetails","jobId":"22jWL_JNHtSxAieXAAAAAA=="}'

Automation Workflows (N8N / Zapier / Make)

1. Trigger: Schedule (daily job refresh) or webhook (new search saved by a user)
2. HTTP Request: Call the actor API with operation and the per-op input fields
3. Process: Dedupe against yesterday's jobId set, filter on isRemote, or map requiredTechnologies
4. Action: Push new postings to Slack, sync rows to Google Sheets, or load them into your job database

📈 Performance & Pricing

Transparent pay-per-event — you're charged only for successful rows, plus a small one-time start fee per run. Failed lookups land as status:"error" rows and cost $0. Higher Apify plans get automatic volume discounts on every event.

FREE Tier (Try It Now)

• Multi-board Job Search is free and unlimited — run the aggregator across Indeed, LinkedIn, Glassdoor and ZipRecruiter at no cost
• Same data quality, deduped feed — evaluate coverage before you scale
• No credit card required
• Job Details, Estimated Salary and Company Salary are paid features (free runs return an upgrade notice row at $0 — no charge)

PAID Tier (Production Ready)

• Unlimited jobs, details, and salary estimates per run
• Pay-per-result: only charged for successful rows
• Job Search is priced as a loss-leader so bulk aggregation stays cheap

💰 Best price on the market for a multi-board aggregator — one run replaces several single-board scrapers, with no Indeed or LinkedIn API approval to wait on.

🔗 View current pricing

❓ Frequently Asked Questions

Q: Which job boards does this cover? A: It wraps Google for Jobs, which aggregates Indeed, LinkedIn, Glassdoor, ZipRecruiter and company career pages into one deduped feed. One query returns postings from all of them at once.

Q: Do I need an Indeed, LinkedIn, or Google for Jobs API key? A: No. This actor requires no API key, no developer registration, and no approval — just an Apify token. Paste your input, click Run, get structured data back.

Q: What does Job Details return that a search row doesn't? A: A recruiting-intelligence column set: seniorityLevel, requiredExperienceYears, requiredTechnologies, preferredTechnologies, visaSponsorship, relocationAssistance, aiMlInvolved, educationRequired, workArrangement, industry and jobFunction — fields single-board scrapers don't expose. Run Job Search first to collect Job IDs, then loop Job Details.

Q: How does salary estimation work? A: Estimated Salary returns min / median / max base and additional pay for a title + location; Company Salary does the same scoped to a specific employer. Both include a confidence score. Broad titles and locations return the most reliable estimates.

Q: Which countries are supported? A: 40+ markets — set country to any ISO 3166-1 alpha-2 code (us, gb, ca, de, in, …). Default is us.

Q: How do I get remote-only jobs? A: Enable the workFromHome toggle on Job Search to return only remote / work-from-home postings.

Q: What output formats are available? A: JSON, CSV, and Excel — export directly from the Apify dataset console, or pull via API.

Q: How am I billed, and what about failed lookups? A: Pay-per-event — only successful rows are charged, plus a one-time start fee. Failed lookups (no salary data, unknown Job ID) land as status:"error" rows at $0.

🐛 Troubleshooting

A run returns status:"error" with "temporarily unavailable"

• The data source hit a transient hiccup. The actor retries automatically with backoff. Re-run after a moment — error rows are never charged.

Estimated Salary / Company Salary returns no row

• Very niche titles or hyper-specific locations may have no salary estimate. Broaden the jobTitle (e.g. software engineer not senior staff platform engineer III) and use a broader location (a metro, state, or country).

Job Details returns "not found"

• Confirm the jobId came from a recent Job Search row (the jobId field, e.g. 22jWL_JNHtSxAieXAAAAAA==). Job IDs can expire as postings are removed — re-run the search to refresh them.

Job Search returns fewer rows than expected

• Thin coverage for a query returns fewer than ~10 rows/page. Broaden the query, relax datePosted and employmentTypes filters, or paginate deeper with maxPages.

Results are for the wrong country

• Set country to the right ISO code (e.g. gb for the UK) and include the location in your query.

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⚠️ Trademark Disclaimer

This actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Google LLC, Indeed, LinkedIn, Glassdoor, ZipRecruiter, or any job board. "Google for Jobs", "Indeed", "LinkedIn", "Glassdoor", "ZipRecruiter" and related marks are trademarks of their respective owners and are used here only to describe the data this tool helps you collect. Use this actor responsibly and in compliance with applicable laws, each platform's terms of service, and data-protection regulations (including GDPR and CCPA where applicable). You are responsible for how you use the data you extract.

⚖️ Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what employers and job boards have chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

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