ChatGPT LLM Scraper
Scrape the response of a ChatGPT chat.
Scraping
ChatGPT is OpenAI's consumer AI chat experience at ChatGPT.com, where users can ask questions, perform research, discover products, and receive AI-generated responses. The online ChatGPT experience can differ from using an OpenAI model directly through the API because it includes its own search, product, advertising, and interface features.
In Fetch Hive, the ChatGPT LLM Scraper allows workflows to collect responses from the ChatGPT.com chat experience itself. This makes it useful when you need to analyse what users actually see inside ChatGPT rather than querying an OpenAI API model directly, including responses that may contain product results or advertising content.
Use Cases
AI visibility monitoring
Run queries through the ChatGPT web experience to understand whether particular brands, products, companies, or websites appear in ChatGPT responses.
Product and brand research
Analyse how ChatGPT presents products, competitors, or brands for commercially relevant queries. Workflow steps can extract mentions, positioning, citations, products, and other information from the returned response.
ChatGPT ad monitoring
Capture responses from the ChatGPT interface where advertising may appear and process the returned information as part of monitoring, research, or competitive analysis workflows.
Why use the ChatGPT LLM Scraper with Fetch Hive?
Calling an OpenAI model through an API is not necessarily the same as seeing what a user receives on ChatGPT.com. The consumer ChatGPT experience has its own retrieval systems, product experiences, interface features, and potentially advertising.
The ChatGPT LLM Scraper allows Fetch Hive workflows to analyse that real online experience. You can then combine the returned response with extraction, classification, comparison, and reporting steps while keeping the entire workflow traceable.
FAQ
What does the ChatGPT LLM Scraper do?
It allows Fetch Hive workflows to collect and process responses from the ChatGPT.com online chat experience.
Is this the same as calling an OpenAI model through the API?
No. The scraper interacts with the ChatGPT web experience rather than simply sending a prompt to an OpenAI API model.
Can it capture product results from ChatGPT?
Yes. Where product information is present in the ChatGPT response, it can be included in the scraped output and processed by later workflow steps.
Can it capture advertising shown in ChatGPT?
The tool can capture advertising content when that content is present within the supported ChatGPT response experience being collected.
What can I do with the scraped response?
The result can be passed into other Fetch Hive steps for tasks such as brand mention extraction, competitor analysis, classification, comparison, reporting, and AI visibility monitoring.
