Message comparison
Compare repeated offers, copy patterns, calls to action, destinations, and creative formats across the returned records.
← All use cases
Competitor ad research.
Inspect the public ads and messages competitors are running now.
Meta Ad Library
The collection work is the bottleneck.
Public ad libraries make individual ads visible, but repeated research still turns into tabs, screenshots, and inconsistent notes. Comparing several pages or rerunning the same review later requires rebuilding the evidence by hand.
A bounded dataset you can inspect and reuse.
Retrieve public Meta Ad Library records for supplied Facebook pages in one normalized dataset. Keep creative links, copy, calls to action, platforms, destinations, and active dates together with the collection context.
Choose the exact dataset you need.
Active ad collection
Collect public ad records from Facebook pages you supply and preserve the public evidence needed to inspect each result.
Open this dataset →Repeatable review
Rerun the same bounded task later and keep each immutable result available through the browser, HTTP, and MCP.
What the result does and does not mean.
The task starts from Facebook pages you supply. It is not an exhaustive discovery engine for every advertiser in a market.
The result describes public ads observed at collection time. It does not reveal spend, conversion, or private targeting performance.
Creative and destination availability follows the public source and redistribution rules.
Missing fields remain unavailable rather than becoming zero. A provider failure is charged $0.
Who uses this data.
Fractional marketers & growth agencies
Repeat the same research across clients without rebuilding the data stack.
See the workflow →Advertisers & creative strategists
Study the messages competitors repeat across their public ads.
See the workflow →Founder-led teams
Get bounded competitor evidence without buying a stack of research tools.
See the workflow →Research competitor ads.
Set the scope, review the exact maximum USD price, and approve the run only when the dataset fits the question.
Open this dataset