Go to example tasks
Job Posting Buying Signal Extractor — example
Created by
Tim Zinin
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.
Job Posting Buying Signal Extractorzinin/job-posting-buying-signal-extractor
entityId
found
status
action
+17 fieldsTextNumberBooleanListObject
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
Sign up on Apify01
Create your Apify account to access the Job Posting Buying Signal Extractor.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
