How do I handle multiple Gemini share links at once?

While the script processes one URL at a time, you can easily aggregate multiple links using a simple caller loop in your terminal.

What formats can I export the Gemini chats into?

The skill supports Markdown (default), JSON, and plain text formats for easy integration with other tools.

What should I do if the extraction returns zero messages?

You can retry the command with the --headful and --wait-ms 12000 flags to allow more time for the JavaScript to render.

Does it require a Google API key?

No, it uses Playwright to render the public page and extract text from the DOM, so no API key is required.

Can this skill read my private Gemini chat history?

No, this skill only works with public share links generated via the 'Share' feature in Google Gemini.

Gemini Share Reader

Name: Gemini Share Reader
Author: priority3

bypriority3

0•

Web Scraping y Recopilación de Datos

Extracts and structures content from public Google Gemini shared conversation links into Markdown, JSON, or plain text.

The Gemini Share Reader skill allows users to programmatically ingest and process public Google Gemini conversations. By utilizing Playwright for browser rendering, it accurately captures user and assistant messages in their original order, converting ephemeral web links into durable, structured data. This is particularly useful for developers and researchers who need to archive AI interactions, migrate chat histories between platforms, or analyze conversation patterns using automated tools. It handles link resolution and offers multiple export formats to fit seamlessly into any data pipeline.

Características Principales

01Extracts structured data including message roles (user/assistant) and page titles

020 GitHub stars

03Supports both gemini.google.com and g.co/gemini share URL formats

04Exports to Markdown, JSON, or plain text for flexible downstream use

05Headful retry mode to handle complex or slow-loading page renders

06Playwright-powered extraction to ensure high-fidelity content capture

Casos de Uso

01Automating the analysis of public AI-generated content for research or quality benchmarking

02Archiving shared Gemini conversations into a permanent personal knowledge base or documentation site

03Migrating AI chat data from Google Gemini to other LLM platforms or structured datasets

Características Principales

01Extracts structured data including message roles (user/assistant) and page titles

020 GitHub stars

03Supports both gemini.google.com and g.co/gemini share URL formats

04Exports to Markdown, JSON, or plain text for flexible downstream use

05Headful retry mode to handle complex or slow-loading page renders

06Playwright-powered extraction to ensure high-fidelity content capture

Casos de Uso

01Automating the analysis of public AI-generated content for research or quality benchmarking

02Archiving shared Gemini conversations into a permanent personal knowledge base or documentation site

03Migrating AI chat data from Google Gemini to other LLM platforms or structured datasets