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Code Snippet

Llama 4 Maverick Web Crawler

Llama 4
Crawler

Description

This Python script combines Firecrawl for web crawling with Together AI’s Llama 4 Maverick model (specifically “meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8”) to extract structured information from websites based on user objectives. The code implements a comprehensive workflow where the Llama 4 model first determines optimal search parameters, then ranks the most relevant URLs found by Firecrawl, and finally analyzes the scraped content to extract targeted data that fulfills the user’s objective, returning the results in a clean JSON format with robust error handling.

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Llama 4 Maverick Web Extractor

This Python script integrates SerpAPI, Together AI's Llama 4 Maverick model (specifically "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8"), and Firecrawl to extract structured company information. The workflow first uses SerpAPI to search for company data, then employs the Llama 4 model to intelligently select the most relevant URLs (prioritizing official sources and limiting to 3 URLs), and finally leverages Firecrawl's extraction API to pull detailed information from those sources. The code includes robust error handling, logging, and polling mechanisms to ensure reliable data extraction across the entire process.

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Company Researcher with GPT 4.1

Search for company information with Firecrawl and GPT 4.1

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