Skip to main content

Log in to comment and vote

Comments1

  • Side Quests

    Team•

    Nov 9, 2025

    Pinned

    Trigger keywords: scrape, track, collect, get data

    What it does:
    Collects structured, verifiable company or market data from public sources. Displays results in a table, stores to Sheets/DB, and includes source links for verification.

    Confirmation flow:
    User: “Scrape data on Ghanaian fintech startups — include name, website, and number of employees.”
    Mabel: “Collect verified company name, website, employee count, and location from public sources and save results to a table and your database. Is that correct?”
    If Yes, Mabel runs the scrape.
    If No, Mabel asks which fields or sources to change.

    Result:

    • Clean table in the workspace.

    • Source links per row.

    • Data written to the chosen table or sheet.

    Examples:

    • Market research: “Logistics startups in Kenya with employee counts and HQ.” → Table + links; saved to “Kenya Logistics.”

    • Sector overview: “Top African edtech startups with funding and employees.” → Table with Crunchbase/LinkedIn sources.

    Tech notes: Respects robots and rate limits, supports seed lists and known sources, and preserves citations.