Pricing

from $5.00 / 1,000 results

Linkedin Company Jobs Scraper

Bulk scrape public job listings from lists of LinkedIn Company pages. Bypasses guest limits and data obfuscation (*****) to retrieve hundreds of clean results per company. Features smart proxy rotation and automated batch processing to scale your data collection.

Pricing

from $5.00 / 1,000 results

Rating

0.0

(0)

Developer

Gyanendra Thakur

Actor stats

Bookmarked

118

Total users

Monthly active users

14 days ago

Last modified

Categories

Automation

Jobs

LinkedIn company page URLs

companyUrls

Required

Enter full company URLs such as https://www.linkedin.com/company/google. Job URLs, profile URLs, and search URLs are not accepted.

Type:string[]

Min. items:1

Max. items:100

Example:

[
  "https://www.linkedin.com/company/google"
]

Run profile

runProfile

Optional

Fast minimizes requests. Balanced is the recommended default. Enriched fetches each job detail page. Custom starts from balanced defaults.

Type:string

Default:balanced

Options:

fastbalancedenrichedcustom

Maximum matching jobs per company

maxJobs

Optional

Stops after this many jobs pass all filters for each company. Profile default: 50.

Type:integer

Minimum:1

Maximum:2000

Example:100

Maximum jobs for the entire run

maxTotalJobs

Optional

Hard run-wide output cap across all companies. The profile default is 1,000 and prevents unexpectedly large result charges when many company URLs are supplied.

Type:integer

Minimum:1

Maximum:200000

Fetch descriptions and detail fields

scrapeDescription

Optional

Fetch each job detail endpoint to collect descriptions, employment type, seniority, workplace type, applicant text, and apply URL. This increases runtime and proxy traffic.

Type:boolean

Posted within

postedWithinDays

Optional

Keep jobs posted within the last N days. Use 0 for any posting date.

Type:integer

Minimum:0

Maximum:3650

Default:0

Keep jobs with missing dates

includeJobsWithUnknownDate

Optional

When a date filter is active, keep jobs for which LinkedIn does not provide a valid posting date.

Type:boolean

Default:true

Include keywords

keywordInclude

Optional

Keep jobs whose title or location contains the configured terms. Matching is case-insensitive.

Type:string[]

Max. items:50

Default:

[]

Include keyword logic

keywordMatchMode

Optional

Choose whether a job must match any included keyword or every included keyword.

Type:string

Default:any

Options:

anyall

Exclude keywords

keywordExclude

Optional

Reject jobs whose title or location contains any configured term.

Type:string[]

Max. items:50

Default:

[]

Include locations

locationInclude

Optional

Keep jobs whose raw LinkedIn location contains at least one configured value, such as Austin, Germany, or Remote.

Type:string[]

Max. items:50

Default:

[]

Exclude locations

locationExclude

Optional

Reject jobs whose raw LinkedIn location contains any configured value.

Type:string[]

Max. items:50

Default:

[]

Remote status

remoteFilter

Optional

Keep all jobs, remote jobs only, or non-remote jobs only. A non-default choice requires detail requests for better classification.

Type:string

Default:all

Options:

allremotenonRemote

Workplace types

workplaceTypes

Optional

Optional exact-match filter. Enabling it requires job detail requests.

Type:string[]

Default:

[]

Employment types

employmentTypes

Optional

Optional exact-match filter. Values depend on what LinkedIn publishes for each job.

Type:string[]

Default:

[]

Seniority levels

seniorityLevels

Optional

Optional exact-match filter. Enabling it requires job detail requests.

Type:string[]

Default:

[]

Keep jobs with missing detail metadata

includeJobsWithUnknownMetadata

Optional

When employment, seniority, or workplace filters are active, keep jobs whose detail page omits the filtered field.

Type:boolean

Default:true

Only emit newly discovered jobs

newJobsOnly

Optional

Skip matching jobs already stored for the same company and monitoring namespace.

Type:boolean

Default:false

Monitoring key-value store

monitoringStoreId

Optional

Optional persistent store for monitoring history. When omitted, the Actor uses or creates the named store linkedin-company-scraper-monitoring.

Type:string

Monitoring namespace

monitoringNamespace

Optional

Separates independent schedules or filter sets that share a monitoring store.

Type:string

Default:default

First monitoring run

monitoringFirstRunPolicy

Optional

Emit the initial baseline, or store it silently so future runs emit only jobs discovered later.

Type:string

Default:emit

Options:

emitstoreOnly

Reset this namespace before running

resetMonitoring

Optional

Delete saved state for the requested companies in this namespace before collecting jobs. The reset applies only to this run.

Type:boolean

Default:false

Maximum listing pages per company

maxPagesPerCompany

Optional

Each page contains up to about 25 cards. When omitted, the profile automatically allows enough pages for maxJobs, up to 100.

Type:integer

Minimum:1

Maximum:100

Maximum HTTP attempts per run

maxRequestsPerRun

Optional

Hard cost guard covering company pages, listing pages, detail pages, and retries. Profile defaults range from 100 to 500 attempts.

Type:integer

Minimum:1

Maximum:20000

Whole-run time budget

maxRunTimeSeconds

Optional

The Actor stops gracefully before this budget, keeps already saved jobs, and writes a partial RUN_SUMMARY.

Type:integer

Minimum:60

Maximum:86400

Per-request timeout

requestTimeoutSeconds

Optional

Maximum wait for one LinkedIn HTTP request.

Type:integer

Minimum:5

Maximum:180

Retries per failed request

maxRequestRetries

Optional

Retry transient request failures with bounded exponential backoff.

Type:integer

Minimum:0

Maximum:10

Initial retry delay

retryDelaySeconds

Optional

Base delay before the first retry. Later retries use exponential backoff with jitter.

Type:integer

Minimum:0

Maximum:60

Delay between requests

requestDelayMillis

Optional

Polite randomized pacing applied before requests. Use 0 only when you understand the blocking risk.

Type:integer

Minimum:0

Maximum:30000

Concurrent detail requests

detailConcurrency

Optional

Maximum parallel job-detail requests. Low values are more conservative and predictable.

Type:integer

Minimum:1

Maximum:5

When one company fails

failurePolicy

Optional

Continue with the remaining companies or stop immediately.

Type:string

Default:continue

Options:

continuefailFast

Proxy configuration

proxyConfiguration

Optional

Configure Apify Proxy or your own proxy URLs. Disable proxy usage for local testing only if direct access works from your network.

Type:object

Default:

{
  "useApifyProxy": true,
  "apifyProxyGroups": [
    "RESIDENTIAL"
  ]
}

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