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DibSift

A Chrome Manifest V3 extension for manually saving visible Facebook Marketplace listings, comparing saved items, and analyzing up to 10 selected items with Gemini.

Install

  1. Open chrome://extensions.
  2. Enable Developer mode.
  3. Click Load unpacked.
  4. Select this folder.

Use

  1. Manually open a Facebook Marketplace listing.
  2. Press Command+Shift+S on Mac or Ctrl+Shift+S on Windows, or open the extension popup and click Save Current Listing.
  3. Open settings with the gear button, paste a Google AI Studio Gemini API key into Gemini AI, and click Save Key.
  4. In the popup, describe what you are shopping for in What are you looking for today?
  5. Select saved items manually or click Select All in Saved Items. If more than 10 are selected, uncheck items until 10 or fewer remain before analyzing.
  6. Click Analyze with Gemini to reveal the top 3 items with pros, cons, offer advice, seller questions, and a message draft. The extension tries gemini-2.5-flash first and falls back to gemini-2.5-flash-lite for rate limit or temporary service errors.
  7. Use Clear AI Response to clear the latest analysis, Remove Last to remove the most recently saved item, or the gear menu to copy the analysis prompt, export CSV, download a text report, or clear saved listings.

Shortcuts

  • Command+Shift+S on Mac or Ctrl+Shift+S on Windows: save the current listing.
  • Command+Shift+X on Mac or Ctrl+Shift+X on Windows: remove the most recently saved listing.

The extension does not automatically open listings, scrape in the background, or bypass Facebook protections. It only reads the currently visible page after you press the shortcut or popup button.

The Gemini workflow sends only the selected listing JSON and shopping goal to the Gemini API. The API key is stored locally in this Chrome profile for personal testing.

CSV columns

title, price, condition, descriptionDetails, location, sellerRating, missingInfoRisk, thumbnailUrl, url, timeOfCopy, fullText

About

DibSift saves visible Facebook Marketplace listings, normalizes the messy details, and turns selected items into a practical buying recommendation.

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