The Web Research Agent is a lightweight, automated research pipeline designed to convert natural language prompts into synthesized insights by leveraging web search and large language models. It integrates search engine querying, web scraping, and LLM-based content summarization to provide structured outputs in JSON format. The agent aims to streamline information retrieval and summarization for complex user queries using reliable sources from the web.
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The process begins with a natural language query from the user. This prompt is analyzed to extract meaningful search terms using Gemini 1.5 Pro, which interprets the intent and context behind the input to generate precise keywords for searching.
2. Web Search via SerpAPI
The extracted search terms are sent to the SerpAPI (official client), which returns search results based on Google Search. Only the top 3 URLs are selected to maintain result relevance and processing efficiency.
3. Web Scraping
The selected URLs are processed using:
requests: for sending HTTP GET requests to the web pages.
BeautifulSoup (bs4): for parsing the HTML content and extracting clean, readable text.
This scraped content is then cleaned and formatted for semantic analysis.
4. Content Analysis using LLM
The extracted web content is passed to Gemini 1.5 Pro for in-depth content analysis. The model is tasked with summarizing the information, understanding the query context, and generating a structured response.
5. Final Output
The final synthesized result includes:
The original user query.
A concise summary of relevant information.
The sources (URLs) from which the data was extracted.
The response is formatted in JSON, ensuring easy integration with other systems or interfaces.
The Web Research Agent effectively combines search, scraping, and summarization into a seamless pipeline. By integrating Gemini 1.5 Pro with SerpAPI and standard Python libraries, it demonstrates a practical approach to automating open-domain research tasks. The resulting system is lightweight, interpretable, and capable of generating informative responses that are traceable to reliable web sources.