5 items
Post dealer inventory to Facebook Marketplace automatically. Look up by VIN or Stock #, bulk post, and track listings. LotPost is a productivity tool for car dealerships that eliminates the manual work of listing inventory on Facebook Marketplace. How it works: Connect LotPost to your dealership's website and it pulls your live inventory — makes, models, prices, mileage, photos, and more. Select a vehicle, click Post, and LotPost fills out the entire Facebook Marketplace listing for you in about 35 seconds. Key features: Auto-detects inventory from your dealership website (supports DealerOn, DDC, and other major platforms) Fills in vehicle type, year, make, model, price, mileage, body style, color, fuel type, drivetrain, condition, and description Uploads multiple vehicle photos automatically Bulk posting — queue up your whole lot and let it run Tracks which vehicles have been posted and flags sold or price-changed listings Quick VIN/stock number lookup to post a single vehicle instantly Works alongside your existing workflow — no data export or spreadsheet needed Supported dealer platforms: DealerOn, Dealer.com (DDC), and most standard inventory website formats. Setup: Enter your dealership website URL and LotPost auto-detects your inventory pages. Add your Gumroad license key to activate. That's it. LotPost is intended for licensed dealers and their staff posting their own inventory.
Aug 15, 2026
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Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.