Gemini LLM Scraper
Scrape the response of a Gemini chat.
Scraping
Gemini is Google's consumer AI assistant available through the Gemini online chat experience. Users use it for questions, research, recommendations, planning, content generation, and other AI-assisted tasks.
In Fetch Hive, the Gemini LLM Scraper allows workflows to collect responses from the Gemini web chat experience itself. This makes it useful when you want to understand what users actually see when interacting with Gemini online rather than only calling Gemini models through Google's APIs.
Use Cases
AI visibility monitoring
Run queries through Gemini's online chat experience and analyse whether particular brands, products, companies, or websites appear in its responses.
Brand and competitor research
Use the Gemini chat experience to research how brands, competitors, products, or services are presented for different queries and automatically analyse the resulting responses.
Cross-platform AI comparison
Run similar queries through Gemini and other consumer AI experiences, then compare the responses inside a Fetch Hive workflow. This can help identify differences in brand mentions, recommendations, sources, and positioning.
Why use the Gemini LLM Scraper with Fetch Hive?
The Gemini consumer chat experience is not necessarily identical to calling a Gemini model through an API. Google's online experience can include its own retrieval behaviour, interface features, and additional systems around the underlying model.
The Gemini LLM Scraper allows Fetch Hive to collect that user-facing response and use it as structured input for further analysis. Fetch Hive then provides trace logs around the wider workflow so you can see how responses were collected, processed, compared, and transformed.
FAQ
What does the Gemini LLM Scraper do?
It allows Fetch Hive workflows to collect and process responses from Google's Gemini online chat experience.
Is this the same as using the Gemini API?
No. The scraper is focused on the user-facing Gemini web chat experience rather than simply making a direct Gemini API model call.
Can I use it for brand visibility monitoring?
Yes. You can run relevant queries through Gemini and process the responses to identify brand mentions, competitors, recommendations, and other useful information.
Can I compare Gemini responses with ChatGPT?
Yes. Both outputs can be collected in the same Fetch Hive workflow and passed into comparison, analysis, or reporting steps.
How does Fetch Hive track Gemini scraper workflows?
Fetch Hive logs the surrounding workflow steps so you can inspect how the response was collected, how it was processed, where failures occurred, and what the overall workflow cost.
