Job Posting Buying Signal Extractor — example

Created by

Tim Zinin

Actor

Job Posting Buying Signal Extractor

Run a small curated real upstream snapshot and inspect the resulting hiring signal records. Source capture dates remain in the input; this example does not fetch a new upstream scrape.

Try for free

Job Posting Buying Signal Extractorzinin/job-posting-buying-signal-extractor

entityId

found

status

action

+17 fields

Input

Max source rows:100

Max results:10

Source records (inline)

schemaVersion:1.0+4

recordType:linkedin_public_job+4

jobId:4419969671+4

jobURL:https://www.linkedin.com/jobs/view/senior-software-engineer-%E2%80%93-go-golang-at-general-motors-4419969671+4

title:Senior Software Engineer – Go (Golang)+4

company:General Motors+4

location:Warren, MI+4

postedTimeText:1 day ago+4

postedDate:2026-09-12+4

keywords:software engineer+4

searchLocation:United States+4

pageStart:0+4

sourceURL:https://www.linkedin.com/jobs-guest/jobs/api/seeMoreJobPostings/search?keywords=software+engineer&location=United+States&start=0+4

observedAt:2026-09-13T15:50:54.556Z+4

source

_exampleProvenance

Output fields

entityId

found

status

action

confidence

partial

evidence

sourceDatasetId

sourceRunId

sourceRowIndexes

sourceCoverage

observedAt

processedAt

reason

error

companyName

need

jobCount

matchedJobs

confirmedJobCount

inferredJobCount

How it works

Sign up on Apify or log in

The Job Posting Buying Signal Extractor Actor is ready to run with the inputs already set for "Job Posting Buying Signal Extractor — example". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Job Posting Buying Signal Extractor — example" task

The Job Posting Buying Signal Extractor Actor will start running based on the input automatically. You can also change all the input fields, like max source rows, max results, and more, to match your specific use case.

Receive the "Job Posting Buying Signal Extractor — example" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as entityid, found, status, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Job Posting Buying Signal Extractor — example" task via API.