Meta Ads Library competitive research at scale

Scrape and classify all active ads from any Meta advertiser to identify full creative rotation, messaging strategy, and new campaign launches

XNot a typed-decision job: needs written output, plain rules or lookups would do it, or needs raw image or audio. Also marks ideas that must not be built.4.66

Key facts

Vertical
Cross-industry
Function
Ads
Status
Seen in the wild
Volume
routine
Value
meaningful
Risk
moderate
Evidence
described plan
Flags
check-fit

Source: https://apify.com/s-r/meta-ads-library

Build this with a classifier

Define a typed decision with a bounded answer, then evaluate it on examples.

{
  "decision_type": "choice",
  "question": "Does this input match the decision in “Meta Ads Library competitive research at scale”?",
  "input": "<input to classify>",
  "output": "one label from a fixed list"
}

Related use cases

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