Job Scraper - LinkedIn Jobs, Indeed & Multi-City Job Alerts

Scrape LinkedIn Jobs and Indeed in one run, across up to 20 cities, and get one clean, deduplicated row per job with salary, company, description and apply link. Schedule it to receive only new jobs. No job-board login, cookies or API key.

One job scraper instead of several: search many keywords and locations, choose your job boards, filter out irrelevant titles and companies, and export to CSV, Excel, JSON or straight into your pipeline. Indeed and LinkedIn are the tested sources; Google Jobs, Glassdoor, ZipRecruiter, Bayt and Naukri are optional beta boards.

Run the job scraper | Pricing | Input fields

Real output from a default run of Job Scraper in Apify Console.

What can this job scraper do?

• LinkedIn jobs scraper + Indeed scraper in one dataset - pick one board or several; every row has the same schema and a jobBoard field.
• Multi-keyword, multi-city search - several search terms and up to 20 locations per run. Each row keeps the searchTerm and searchLocation that found it.
• Job alerts that only return new jobs - turn on onlyNewJobs with a stateKey, schedule the run, and each run delivers only jobs not delivered before.
• Relevance filters - include/exclude title keywords, exclude exact company names, require salary data, remote only, job type, posted within N hours, search radius, Easy Apply.
• Salary data - min/max, currency, interval, plus optional conversion of hourly/daily/weekly/monthly pay to annual estimates.
• Cross-board deduplication - shared listing URLs and shared direct-apply URLs are merged so you do not pay twice for the same posting.
• Transparent diagnostics - per board/term/location outcomes (returned, delivered, durationSeconds, error) in SEARCH-OUTCOMES.

What data can I extract?

Field	Example / meaning
title, company, location	Job title, employer, job location
jobBoard	indeed, linkedin, google, glassdoor, zip_recruiter, bayt, naukri
jobType, isRemote	Employment type and remote flag (null when the board does not say)
salary, salaryMin, salaryMax, salaryCurrency, salaryInterval, salarySource	Pay range as published or extracted by the source
datePosted, jobAgeDays	Posting date and age in days
jobUrl, directApplyUrl	Listing URL and the employer's direct application URL when available
companyUrl, companyWebsite, companyIndustry, companySize, companyRevenue, companyRating, companyReviewsCount, companyLogo	Company details when the board supplies them (mostly Indeed)
description	Job description in Markdown or HTML
skills, emails, jobLevel, jobFunction, experienceRange, vacancyCount, easyApply, listingType	Extra fields some boards provide
hiringSignalScore	0-100 freshness/completeness heuristic (not proof of buying intent)
searchTerm, searchLocation, scrapedAt	Provenance for every row

Fields are only filled when the source board publishes them. Missing salary is not zero salary.

How much does it cost to scrape jobs?

Pay per result: you pay for jobs saved to the dataset, not for searches that return nothing.

Apify plan discount tier	Price per 1,000 jobs
Free / no discount	$2.00
Bronze	$1.95
Silver	$1.90
Gold, Platinum, Diamond	$1.85

• 100 jobs = $0.20, 1,000 jobs = $2.00, 10,000 jobs = $20 (base rate).
• Plus a tiny Actor start charge of $0.00005 per GB of memory per run.
• maxItems (default 100) caps output, and the Actor also stops at your maximum run charge.

The Pricing tab is authoritative for current rates.

How to scrape LinkedIn and Indeed jobs

1. Open the input form.
2. Enter a Search term (for example software engineer) and a Location (or a list of Multiple locations).
3. Choose Job boards: Indeed (default), LinkedIn, or both. Beta boards are optional.
4. Set Max results per board and Max total jobs. Start small (20 / 50) to check relevance.
5. Click Start, then export the dataset as CSV, Excel or JSON, or read it through the API.
6. For job alerts, enable Only new jobs, set a Monitor state key, save the input as a task and add a schedule.

Input example

{
  "searchTerm": "software engineer",
  "locations": ["New York, NY", "Austin, TX", "Boston, MA"],
  "jobBoards": ["indeed", "linkedin"],
  "includeTitleKeywords": ["engineer", "developer"],
  "excludeTitleKeywords": ["intern"],
  "hoursOld": 72,
  "maxResultsPerSite": 20,
  "maxItems": 100,
  "countryIndeed": "USA"
}

More ready-made inputs: remote AI jobs, healthcare, finance, sales hiring alerts, salary research and others in examples/.

Output example

{
  "title": "Senior Software Engineer",
  "company": "Acme",
  "location": "New York, NY, US",
  "jobBoard": "indeed",
  "jobType": "fulltime",
  "isRemote": false,
  "salary": "$120,000 - $150,000 / year",
  "salaryMin": 120000,
  "salaryMax": 150000,
  "salaryCurrency": "USD",
  "salaryInterval": "yearly",
  "datePosted": "2026-10-20",
  "jobAgeDays": 3,
  "jobUrl": "https://www.indeed.com/viewjob?jk=...",
  "directApplyUrl": "https://careers.acme.com/jobs/123",
  "companyIndustry": "Software",
  "description": "...",
  "hiringSignalScore": 82,
  "searchTerm": "software engineer",
  "searchLocation": "New York, NY"
}

The run's key-value store also holds SUMMARY (totals, per-board counts, warnings), SEARCH-OUTCOMES (one entry per board/term/location search) and SEARCH-PROGRESS (live checkpoint).

Supported job boards

Board	Status	Notes
Indeed	Tested default	Most reliable and fastest. Use countryIndeed for non-US searches. Company details included.
LinkedIn	Tested	Public guest job search, no login. Slower (pages of about 10 jobs with pauses between them). Enable linkedinFetchDescription for full descriptions and direct apply URLs (slower again).
Google Jobs	Beta	Uses Apify's Google SERP proxy; up to 10 jobs per query; descriptions may be shortened.
Glassdoor, ZipRecruiter, Bayt, Naukri	Beta	Often challenged by anti-bot systems; may return no data even with a residential proxy.

Job alerts: get only new jobs on a schedule

1. Configure your search and set "onlyNewJobs": true and a stable "stateKey" such as "sales-hiring-alerts".
2. Save it as an Apify task and add a schedule (for example every morning).
3. The first run delivers all matches; later runs deliver only jobs that were not delivered before under that state key. Jobs removed by filters or the output cap are not marked as seen.
4. Send new rows to Slack, email, Google Sheets or a CRM with an Apify webhook, Make, Zapier or n8n. The Actor itself does not send notifications.

A repeat run that returns zero rows usually means "no new jobs". Check SEARCH-OUTCOMES to tell that apart from a source failure. Do not run two monitors with the same stateKey at the same time.

Keep big runs fast and reliable

Searches run one after another: the number of searches is search terms x locations x job boards. Each board search is stopped after 120 seconds, and the whole run is limited by the run timeout (1 hour by default).

Plan	Searches	Typical fit
1 term, 1 city, Indeed	1	Seconds
3 terms, 5 cities, Indeed	15	Comfortable
3 terms, 5 cities, Indeed + LinkedIn	30	Keep LinkedIn at 20-50 results per search
5 terms, 20 cities, 2+ boards	200+	Split into several saved tasks

Tips:

• Keep LinkedIn at 100 results per search or fewer; add more locations or keywords instead of raising maxResultsPerSite.
• Leave linkedinFetchDescription off unless you need full LinkedIn text.
• Add beta boards one at a time and check SEARCH-OUTCOMES before scheduling them.
• Jobs are saved after every search, so results collected before a timeout stay in the dataset.

Use the job scraper via API, Python or JavaScript

Python

from apify_client import ApifyClient

client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("groupoject/multi-job-board-scraper").call(run_input={
    "searchTerm": "data engineer",
    "location": "Remote",
    "remoteOnly": True,
    "jobBoards": ["indeed", "linkedin"],
    "maxItems": 100,
})
for job in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(job["title"], job["company"], job["jobUrl"])

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('groupoject/multi-job-board-scraper').call({
    searchTerms: ['account executive', 'sales manager'],
    locations: ['New York, NY', 'Chicago, IL'],
    jobBoards: ['indeed'],
    maxItems: 200,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();

Integrations: Make, Zapier, n8n, Google Sheets, Airbyte, webhooks and the Apify API. In n8n, call the Actor by its ID LzsIpToRTUZSnqjbS, wait for the run to finish, then read the dataset and upsert rows by jobUrl.

AI agents / MCP: the Actor can be called from the Apify MCP server, so Claude, ChatGPT, Cursor or your own agent can ask for "remote senior Python jobs posted this week with salary ranges" and get structured rows back.

Who uses it

• Recruiters and sourcers - fresh openings from several boards in one sheet.
• Job seekers and career coaches - repeatable searches with daily new-job alerts.
• Job-board and newsletter builders - a feed of niche jobs by keyword and city.
• Sales and lead generation teams - companies hiring for roles that signal a need for your product.
• Labor-market and salary researchers - salary ranges and posting volume by role and city.

FAQ

Is it legal to scrape LinkedIn and Indeed jobs? The Actor collects publicly listed job postings without logging in. Job postings are generally not personal data, but you are responsible for how you use the data and for complying with applicable laws and the boards' terms. Do not use it to collect private profiles.

Do I need a LinkedIn or Indeed account, cookies or an API key? No. You only need an Apify account (and an Apify API token for programmatic calls).

Do I need a proxy? Apify Proxy is used automatically. For LinkedIn or the beta boards, a residential proxy can help: {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}. The proxyConfiguration field is stored encrypted.

Why did I get fewer jobs than I asked for? maxResultsPerSite and maxItems are ceilings. Filters, deduplication, the run-charge limit and what the board actually has all reduce output.

One board returned nothing. Did the run fail? No, as long as another board delivered jobs. SEARCH-OUTCOMES shows each board's status (ok, empty, failed) and SUMMARY.partialResults is true. If every search fails, the run fails.

My run timed out. What should I change? Reduce terms x locations x boards per run (see "Keep big runs fast and reliable"), keep LinkedIn at 100 results per search or fewer, and split large plans into several scheduled tasks. Jobs saved before the timeout remain in the dataset.

Can I search outside the US? Yes. Set the location and countryIndeed (for example UK, Canada, Germany). Naukri (India) and Bayt (Middle East) are optional beta boards.

Related job scrapers

• Greenhouse & Lever Jobs Scraper - jobs straight from company ATS career boards, with hiring-signal scoring.
• Teamtailor Jobs Scraper - jobs from any Teamtailor career site.
• SmartRecruiters Jobs Scraper - jobs from SmartRecruiters company boards.

Feedback and support

Found a problem or missing field? Open an issue with the board, your non-sensitive input and the run ID. Never post API tokens or proxy passwords. If the scraper is useful, a review helps other users find it.

Built on the open-source python-jobspy library. Old API identifier groupoject~indeed-jobs-scraper has moved: use the Actor ID LzsIpToRTUZSnqjbS. See CHANGELOG.md.