Pricing

from $0.27 / 1,000 results

Try for free

Go to Apify Store

LinkedIn Salary Scraper [💰$0.50/benchmark] — Pay by Job & City

Try for free

One row per job title and location: pay percentiles, sample size and confidence, built from the pay ranges employers state on LinkedIn postings. Strongest in US pay-transparency states and the UK. No login. 💰 $0.50 per benchmark.

Pricing

from $0.27 / 1,000 results

Rating

0.0

(0)

Developer

Black Falcon Data

Actor stats

Bookmarked

Total users

Monthly active users

14 days ago

Last modified

Categories

Jobs

Lead generation

Automation

💰 Job titles to benchmark

benchmarkTitles

Optional

One salary benchmark per title and location: the run reads the postings for each and reports the pay ranges employers state on them (percentiles, sample size, source). Leave empty to scrape job listings without a benchmark.

Type:array

📍 Locations to benchmark

benchmarkLocations

Optional

Each title is benchmarked in each location, e.g. "California, United States" or "United Kingdom". Pay ranges are common in US states with pay-transparency laws (California, New York, Colorado, Washington) and in the UK, and rare in much of Europe; thin cohorts are marked as small samples. Leave empty to use Location below.

Type:array

🔢 Jobs per benchmark cohort

benchmarkJobsPerCohort

Optional

How many postings to read for each title and location (10-1000). More postings give steadier percentiles and take longer.

Type:integer

Minimum:10

Maximum:1000

Default:200

🧮 Minimum pay ranges per benchmark

minSampleSize

Optional

A benchmark is published only when at least this many distinct pay ranges back it; below that the row reports its counts and no figures, and is not billed as a benchmark.

Type:integer

Minimum:1

Maximum:500

Default:10

📄 Also deliver the job postings

includeJobs

Optional

Add every posting behind the benchmarks to the results (billed per job, like a job scrape). Off: you get one row per benchmark.

Type:boolean

Default:false

🔍 Search keywords

keywords

Optional

Job search keywords (e.g. "software engineer", "nurse"). Leave blank to browse all jobs in the selected location.

Type:string

📍 Location

location

Optional

City, state, region, or country (e.g. "Berlin, Germany", "United States"). LinkedIn resolves it for you — no IDs needed. Leave empty for global results.

Type:string

🌍 LinkedIn geoId (advanced)

geoIds

Optional

Advanced/optional override — most users just use 📍 Location, which LinkedIn resolves automatically. For exact targeting, paste a LinkedIn jobs search URL into 🔗 Start URLs (the geoId is read for you), or copy the numeric geoId from a LinkedIn jobs URL. Each geoId becomes a separate query, deduped on jobId.

Type:array

Default:

[]

🗺 ISO-2 region codes

regions

Optional

Two-letter country codes (e.g. "US", "GB", "DE"). Resolved to LinkedIn country geoIds. Use geoIds[] for unsupported markets.

Type:array

Default:

[]

🌐 Region preset

regionPresets

Optional

Pre-defined country grouping. Combined with regions[] if both are set.

Type:string

Options:

nordicdachbeneluxuk-irelandeu-27gccmenaaseananglospherelatamnordics-extended

🗓 Date posted

datePosted

Optional

Filter by posting recency. "lastHour" is unique to this scraper.

Type:string

Default:anytime

Options:

anytimelastHourlast24hlast7dlast30d

💼 Job type

jobType

Optional

Multi-select employment type filter.

Type:string[]

Default:

[]

📈 Experience level

experienceLevel

Optional

Multi-select seniority filter.

Type:string[]

Default:

[]

🏠 Work type

workType

Optional

Multi-select onsite/remote/hybrid filter.

Type:string[]

Default:

[]

💰 Salary min

salaryMin

Optional

Minimum annual salary in USD. Narrows LinkedIn's own search, then each job's stated range is converted to a yearly amount (hourly x 2080, daily x 260, weekly x 52, monthly x 12) and compared. A range in another currency or without a pay period cannot be compared: it is kept or left out together with jobs without salary (see Include jobs without salary) and marked not_comparable in salaryBoundCheck.

Type:integer

Minimum:0

💰 Salary max

salaryMax

Optional

Maximum annual salary in USD, compared the same way as Salary min (yearly amount, USD ranges only; other currencies and ranges without a period are marked not_comparable in salaryBoundCheck).

Type:integer

Minimum:0

Include jobs without salary

salaryIncludeUnknown

Optional

When Salary min or max is set, keep jobs that state no salary, and jobs whose range cannot be compared (another currency, or no pay period). Each kept job says which in salaryBoundCheck.

Type:boolean

Default:true

🏢 Companies — scrape all their jobs (IDs or URLs)

companies

Optional

Scrape jobs from specific employers. Paste LinkedIn company-page URLs (e.g. https://www.linkedin.com/company/microsoft) or numeric companyIds — URLs are resolved for you, no ID lookup needed. Combine with 🔍 Keywords to filter within a company.

Type:array

Default:

[]

🚫 Exclude companies

excludeCompanies

Optional

Company-name substrings to exclude (case-insensitive post-filter).

Type:array

Default:

[]

🚫 Exclude keywords

excludeKeywords

Optional

Title substrings to exclude (case-insensitive post-filter).

Type:array

Default:

[]

⚡ Easy Apply only

easyApply

Optional

Restrict results to LinkedIn Easy Apply postings.

Type:boolean

Default:false

🚫 Remove staffing agencies

removeAgency

Optional

Heuristic post-filter on company name ("recruitment", "staffing", etc.).

Type:boolean

Default:false

📏 Distance (km/mi)

distance

Optional

Search radius around location. LinkedIn auto-detects unit (miles in US/UK/CA/AU/NZ; km elsewhere).

Type:integer

Minimum:0

📊 Sort

sortBy

Optional

Sort order. "recent" is recommended for incremental feeds.

Type:string

Default:recent

Options:

recentrelevant

🔗 Advanced: start URLs

startUrls

Optional

Paste LinkedIn job URLs from your browser. Two kinds work: a job SEARCH URL (e.g. .../jobs/search?keywords=…) reuses all of its filters as the query, or an individual JOB POSTING URL (e.g. .../jobs/view/4012345678) is scraped directly with full detail. Mix both freely.

Type:array

Default:

[]

🛡 Your own proxy URLs (optional)

proxyConfiguration

Optional

Leave empty — the actor picks its own connection. Only if you must route requests through your own proxies, enter them as {"proxyUrls": ["http://user:pass@host:port"]}. Other proxy settings are ignored.

Type:object

🌐 LinkedIn host

linkedinHost

Optional

Subdomain (e.g. "www", "de"). Affects default geo-routing + UI labels.

Type:string

Default:www

🗣 Accept-Language

outputLanguage

Optional

HTTP Accept-Language header. Default en-US for parsing-cleanliness.

Type:string

Default:en-US,en;q=0.9

🔁 Incremental mode

incrementalMode

Optional

Persist seen-jobIds across runs; emit only NEW + UPDATED. Requires stateKey.

Type:boolean

Default:false

🔑 State key

stateKey

Optional

Optional stable identifier for the tracked search universe. Leave empty to auto-derive a stable identifier from your search inputs — different keyword/location/filter combinations get isolated state automatically.

Type:string

↩️ Allow Non-Incremental Fallback

allowNonIncrementalFallback

Optional

If incremental mode is requested but the state store is not accessible on this account, fall back to a non-incremental run instead of failing. Default: fail loudly so missing state is not silently ignored.

Type:boolean

Default:false

📤 Output mode

outputMode

Optional

Which items to emit when in incrementalMode.

Type:string

Default:all

Options:

allnew-onlychanged-only

♻️ Emit UNCHANGED items

emitUnchanged

Optional

Include items that haven't changed since last run.

Type:boolean

Default:false

⚰️ Emit EXPIRED items

emitExpired

Optional

Include items that disappeared from search results.

Type:boolean

Default:false

Skip detected reposts

skipReposts

Optional

Suppress jobs with the same content as a previously-seen but inactive listing.

Type:boolean

Default:false

🔬 Enrich with detail page (salary source)

enrichDetails

Optional

Fetch each job's detail page to extract the salary / pay range plus full description, seniorityLevel, employmentType, jobFunction, industry, and applicantCount. On by default — this is where salary data comes from. Adds 1 HTTP request per job.

Type:boolean

Default:true

🏢 Scrape company details

scrapeCompany

Optional

For each job, fetch the employer's public LinkedIn company page and add company description, website, employee count, logo, and address. Fetched once per unique company.

Type:boolean

Default:false

🔭 Expand via relatedJobs

discoverRelated

Optional

After the main search, fetch LinkedIn's related-jobs feed for the first N results to discover roles that don't surface on the keyword search. Useful for thin markets.

Type:boolean

Default:false

relatedJobs seed count

relatedSeedCount

Optional

How many of the first search results are used as seeds for related-jobs expansion. Each seed yields up to 10 candidates.

Type:integer

Minimum:0

Maximum:100

Default:5

Telegram bot token

telegramToken

Optional

Bot token from @BotFather. Leave empty to disable Telegram notifications.

Type:string

💬 Telegram chat ID

telegramChatId

Optional

Numeric chat or channel ID where notifications should be sent.

Type:string

Discord webhook URL

discordWebhookUrl

Optional

Channel webhook URL. Leave empty to disable Discord notifications.

Type:string

Slack webhook URL

slackWebhookUrl

Optional

Incoming webhook URL. Leave empty to disable Slack notifications.

Type:string

WhatsApp Cloud API access token

whatsappAccessToken

Optional

Permanent System User token from Meta Business.

Type:string

WhatsApp phone-number ID

whatsappPhoneNumberId

Optional

Numeric phone-number ID from the Meta dashboard.

Type:string

WhatsApp recipient (E.164)

whatsappTo

Optional

Recipient phone number in E.164 format (e.g. "4561234567").

Type:string

Generic webhook URL (n8n / Make / Zapier)

webhookUrl

Optional

Receives a JSON POST of {metadata, items} for each batch.

Type:string

Webhook headers

webhookHeaders

Optional

Additional HTTP headers to include with the generic webhook (e.g. Authorization).

Type:object

Max items per notification batch

notificationLimit

Optional

Cap on items included in each notification message.

Type:integer

Minimum:1

Maximum:50

Default:5

Notify only NEW/UPDATED

notifyOnlyChanges

Optional

When in incrementalMode, suppress notifications for UNCHANGED items.

Type:boolean

Default:false

Compact output

compact

Optional

Emit only core fields (keeps cost the same; reduces dataset size).

Type:boolean

Default:false

Description max length

descriptionMaxLength

Optional

Truncate description (0 = no truncation). Only relevant when enrichDetails=true.

Type:integer

Minimum:0

Default:0

Phone-extraction mode

phoneExtractionMode

Optional

"strict" requires Tel:/+CC prefix; "lenient" also picks up bare local-format numbers.

Type:string

Default:strict

Options:

strictlenient

💯 Max results

maxResults

Optional

Cap on emitted items (0 = unlimited). Runs above 200 results, or unlimited, start with 1024 MB of memory so they finish faster; up to 200 start with 512 MB.

Type:integer

Minimum:0

Default:100

Description format

descriptionFormat

Optional

Pick a single description representation. all keeps every variant; text / html / markdown drop the others.

Type:string

Default:all

Options:

alltexthtmlmarkdown

Exclude empty fields from output

excludeEmptyFields

Optional

Drop null, empty-string, and empty-array fields from each record before push. Smaller, cleaner payloads for AI agents and dashboards. On by default; turn off to always emit every field (including empty ones).

Type:boolean

Default:true

Send results to Notion (or another connected app)

appConnector

Optional

Optional. Pick a connected app under Settings → API & Integrations to receive your results. Notion is supported today (a run-summary page); other MCP connectors are best-effort as Apify expands its catalog.

Type:string

Issue tracker team

mcpIssueTeam

Optional

Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one.

Type:string

🏙️ City Name

cityName

Optional

City or region to search in (e.g. "Berlin", "Madrid"). Alias for Location — either field works.

Type:string

🔍 Search Term(s)

query

Optional

Listing search keywords. Enter a single term or a JSON array for multi-query runs.

Type:string

Linkedin Jobs Scraper

curious_coder/linkedin-jobs-scraper

Scrape Linkedin jobs from jobs search results using search URLs or filters. Get full job details, job poster and company details.

Curious Coder

175K

4.5

(142)

Job Scraper for ZipRecruiter 💰 $0.99/1K — 7 Country Markets

blackfalcondata/ziprecruiter-job-scraper

Scrape ZipRecruiter (ziprecruiter.com) across 7 countries (US, GB, IE, IN, DE, FR, NZ). Salary and benefits data for US, geo-coordinates and job descriptions for all markets. Incremental mode detects new and changed listings, plus lean output for AI agents and MCP workflows.

Black Falcon Data

LinkedIn Jobs API & Scraper [NO COOKIES] ✅

unseenuser/LinkedIn-Jobs-Scraper

LinkedIn jobs API and scraper - no cookies, no login, no account to get restricted. Search job postings by keyword, company or location for full descriptions, salary, skills, applicant counts, the ATS behind each apply link and a ghost-job score. Built for hiring-signal outbound.

Unseen User

218

5.0

(4)

Jobup.ch Scraper [Just 💰$0.86] — Swiss Job Listings

blackfalcondata/jobup-ch-scraper

💰 from $0.86 per 1,000 jobs. Scrape jobup.ch — Switzerland's second-largest job board with direct apply URLs · recruiter contacts · workload-percentage filter across FR/DE/IT/EN. Incremental mode tracks new and changed jobs across scheduled runs.

Black Falcon Data

5.0

(1)

MENY Scraper — Danish Grocery Prices by Store

blackfalcondata/meny-scraper

Scrape Danish grocery prices by store from MENY. Each shop prices its own shelves, so you choose the store and get the price a shopper actually pays there. The everyday price and the offer price stay separate fields. Most rows also carry an EAN and a unit price.

Black Falcon Data

LinkedIn Jobs Scraper & API - No Login, Salary, Company

scrapers_lat/linkedin-jobs-scraper

Scrape public LinkedIn job postings by keyword, location or search URL, no login and no API key. Get title, company, logo, salary, seniority, employment type, job function, industries, applicant count, apply link and full description. Filter by date, remote, experience. Export JSON, CSV, Excel.

Scrapers Lat

5.0

(1)

LinkedIn Jobs Scraper

orgupdate/linkedin-jobs-scraper

The latest and most advanced LinkedIn Job Scraper. Our LinkedIn Jobs Scraper extracts real-time job postings at scale from all over the world. A new research tool built for recruitment, insights and HR.

Orgupdate

667

Remotive Scraper — remote job listings

blackfalcondata/remotive-scraper

Scrape remotive.com — curated remote-job board with structured salary data across every role · date-range filtering for fresh postings · a single run that needs no account or login. Incremental mode tracks new and changed jobs across scheduled runs.

Black Falcon Data

Linkedin Job Scraper

creon/linkedin-job-scraper

Scrape LinkedIn job listings with AI-powered salary estimation. Extract job titles, companies, locations, descriptions, and get estimated salary ranges using OpenAI. Filter by search term, location, or specific company IDs.

lunalabs

5.0

(1)

Premium Linkedin Jobs Scraper

perfectscrape/premium-linkedin-jobs-scraper

A powerful and super fast LinkedIn jobs scraper. Extract 30+ fields like job title, salary, applicants, company and descriptions. Uses HTTPS requests, not a browser faster and safer scraping. Just add a search URL and your LinkedIn cookies. Fast, smooth scraping - get LinkedIn data in seconds.