discovery-search-runner

To automate creator search and qualification, you can run a discovery process that scrapes candidates from various networks, checks competitor repeats using ad-library data, and normalizes profiles into qualified leads.

Yes, automating influencer candidate scraping and ingestion requires the SanchoCMO environment, alongside ScrapeCreators and calc-creator-core, to properly process candidate data and store it in Yalc.

The best way to check if influencer candidates run competitor ads is to use a tool that performs competitor analysis by checking for repeats using ad-library data during the qualification stage.

You normalize scraped creator data and ingest it into Yalc by running an automated discovery process that standardizes candidate profiles from various networks before storing them as qualified leads.

Yes, you can process a queued creator search for a specific brand by running the discovery runner with the specified brand slug to automatically scrape, analyze, and ingest matching candidates.

A limitation of automating candidate qualification with ScrapeCreators is its strict dependency on the SanchoCMO environment and calc-creator-core, meaning it cannot process or store leads independently outside this stack.