This Latenode automation leverages the Tavily web search and content extraction APIs, combined with the power of the OpenAI language model, to provide an efficient and AI-driven research workflow.
Users can initiate the process by providing a search topic, and the automation will automatically search the web, extract the most relevant content, and generate a comprehensive summary of the findings. This solution is designed to streamline research tasks and enable users to quickly gather and synthesize information on any given topic, making it a valuable tool for a wide range of applications, from market research to academic exploration.
Latenode bills workflow runs in credits: 1 credit = 30 seconds of processing. Minimum charge per run depends on your plan. Plug-and-Play (PnP) AI nodes are billed separately—each PnP token is $1 USD, charged pay-as-you-go at vendor cost plus a small processing fee, with no API keys required.
Full pricing — how credits work →Workflow preview
The user provides a search topic to kick off the automation process.
The automation uses the Tavily web search API to query the provided topic and retrieve the most relevant search result.
The Tavily content extraction API is used to scrape the full text and other relevant data from the top search result.
The extracted web content is filtered to include only the most relevant sections with a score over 80%.
Based on the initial search results, the automation performs another Tavily search to retrieve additional relevant content.
The OpenAI language model is used to analyze the filtered web content and generate a comprehensive summary of the research findings.
The summary is formatted in Markdown to provide a clean, structured output for the user.
In the Latenode Credentials panel, add a new credential for the Tavily API. Enter your Tavily API key to authenticate the connection.
In the Latenode visual builder, add a Tavily Search node. Configure the node by mapping the search query input to the desired data source, such as a text input or a previous node's output.
Add a Tavily Extract node after the Tavily Search node. Configure the node to extract the content from the top search result.
In the Latenode Credentials panel, add a new credential for the OpenAI API. Enter your OpenAI API key to authenticate the connection.
In the Latenode visual builder, add an OpenAI Chat Model node. Configure the node to generate a summary of the extracted web content using the OpenAI language model.
FAQ
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