Black Friday 2026: Build a Competitor Ad Watchlist Before November

Описание и применение

Создайте таблицу наблюдений конкурентов в Meta Ad Library до ноября, используя Apify‑актор для автоматизации сбора данных и формулирования гипотез о пред‑праздничных предложениях.

Задача

Need to track competitor ad offers early to identify patterns before peak holiday sales.

Результат

A repeatable process to capture competitor ad offers, formats, destinations, and hypotheses, enabling early detection of pre‑holiday promotion strategies.

Рабочий процесс

• List 5–10 competitor advertisers
• Open Meta Ad Library manually for a few to understand columns
• Configure Apify Meta Ad Library actor with advertisers/searchTerms, country=US, activeStatus=active, maxAdsPerSearch=20
• Run actor and export CSV
• Map CSV to worksheet: offer text, format, libraryUrl
• Fill destination and hypothesis manually
• If useful, save task and schedule with onlyNewSinceLastRun=true

Доказательства

Adobe's September 28 forecast puts US online holiday sales for November and December at $275.1 billion and discusses a preseason spike in October.

Источник

The actor's input schema accepts advertisers or search terms, a country, an active status filter and a cap per search. Its documented output includes available copy, creative, libraryUrl and daysRunning.

Источник

I have not rechecked this actor's live prices for this draft. Review the current Store pricing and set a spending limit before running a larger watchlist.