Web Crawler
Overview
The Web Crawler Node in UPTIQ Workbench is designed to extract relevant information from web pages in real-time. Unlike traditional web scrapers, this node is optimized for AI-driven workflows, where extracted content can be processed by Large Language Models (LLMs) to generate structured insights.
This node is particularly useful for retrieving dynamic, publicly available information, such as company overviews, industry trends, or competitor insights. The extracted data can be refined, summarized, and structured to fit business needs, making it a valuable component for AI-driven research and automation.
Configurations
URL (Required)
The fully-qualified web address from which data should be retrieved.
Example:
https://www.uptiq.ai/about
Instructions (Required)
Defines how the extracted web content should be processed.
Instructs AI agents on what aspects of the data to analyze and summarize.
Example:
Output Format
The Web Crawler Node outputs structured data in JSON format.
Example output:
Example Use-Case
1. Summarizing a Company's Information
Scenario: A user requests an overview of a company. The Web Crawler Node scrapes the company's "About" page and passes the extracted content to an LLM node, which generates a concise, structured summary.
Workflow Nodes Used in this Use-case
Web Crawler - to scrape and summurize the information
Display - to display the information to user.
Configurations:
URL
Instructions
You are an AI assistant tasked with summarizing company information from extracted web content. Analyze the provided data and produce a concise summary in JSON format. Each key in the JSON should represent one aspect of the company, and the corresponding value should be a brief summary of that aspect. Focus on critical details like the company's mission, services, achievements, and any other notable points.
Workflow Steps:
Web Crawler Node scrapes
https://www.uptiq.ai/about
to extract relevant content.LLM Node processes the extracted content and generates a structured summary.
Display Node presents the final output to the user.
Final Output:
Key Takeaways for Developers
✅ Real-Time Data Extraction – The Web Crawler Node retrieves fresh, publicly available content from websites for AI processing.
✅ Structured AI-Driven Summarization – Extracted content is refined using LLMs, ensuring concise and contextually relevant outputs.
✅ Customizable Processing Instructions – Developers can tailor how extracted data is interpreted and structured by modifying the instructions field.
✅ JSON-Formatted Output – Ensures compatibility with other workflow components for seamless data handling.
By integrating the Web Crawler Node into workflows, developers can automate web-based data retrieval and AI-powered summarization, significantly enhancing information accessibility and decision-making. 🚀
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