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Instagram Campaign Performance Benchmark — example
Created by
Tim Zinin
Run a small curated real upstream snapshot and inspect the resulting post benchmark records. Source capture dates remain in the input; this example does not fetch a new upstream scrape.
Instagram Campaign Performance Benchmarkzinin/instagram-campaign-performance-benchmark
entityId
found
status
action
+23 fieldsTextNumberBooleanListObject
Input
Max source rows:100
Max results:10
Source records (inline)
id:3991274049559765207+5
type:Image+5
shortCode:Ddj2pn1PqDX+5
caption:Good night, everyone😴
@astro_jessica snapped this photo of the United States at night on Sept. 8, 2026, with city lights looking toward New York City (at center).
#NASA #SpaceStation #Earth+5
hashtags
url:https://www.instagram.com/p/Ddj2pn1PqDX/+5
commentsCount:625+5
likesCount:171442+5
timestamp:2026-09-21T18:56:33.000Z+5
ownerUsername:nasa+5
ownerId:528817151+5
videoViewCount
paidPartnership:false+5
_exampleProvenance
Output fields
entityId
found
status
action
confidence
partial
evidence
sourceDatasetId
sourceRunId
sourceRowIndexes
sourceCoverage
observedAt
processedAt
reason
error
benchmarkBasis
groupKey
comparableCohortSize
likesPercentile
commentsPercentile
combinedPercentile
likesRelativeIndex
commentsRelativeIndex
combinedRelativeIndex
likesState
commentsState
cohortSize
Sign up on Apify01
Create your Apify account to access the Instagram Campaign Performance Benchmark.
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.
