What Is It?
Fire Enrich is an open-source, all-in-one data enrichment tool developed by Mendable AI (the team behind Firecrawl). It leverages Firecrawl’s web crawling capabilities, OpenAI’s language understanding, and a multi-agent architecture to automatically enrich basic leads (like a list of email addresses) into structured company data, including industry, funding, key personnel, and more. It’s fully transparent and community-extensible.
Key Features
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CSV Input & Field Selection: Users can upload a CSV file (e.g., containing email addresses) and select which fields to enrich, such as company description, industry, employee count, etc.
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Real-Time Enrichment: Fire Enrich automatically enriches each row of the input table with relevant, structured background data.
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Multi-Agent Collaboration: Dedicated agents handle different domains (industry, funding, team, product, etc.) and work in parallel to deliver accurate enrichment results — complete with data source URLs.
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Transparent Data Sources: Every result is linked back to its origin, making the data pipeline fully explainable.
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Extensible Architecture: Users can add new agents, fine-tune prompts, or adjust extraction logic and contribute improvements via pull requests.
Technical Principles
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Web Crawling with Firecrawl
Uses Firecrawl’s API to fetch, parse, and structure web pages — even those with JavaScript rendering, pagination, or login gates — supplying clean, readable content to agents. -
Extraction with OpenAI
Employs OpenAI’s language models to parse web content and extract the desired fields as structured JSON with contextual URLs. -
Multi-Agent System
Leverages a modular set of agents, each specialized in a certain topic (e.g., industry, funding), to collaboratively handle different enrichment tasks for each data row. -
Modular Pipeline Architecture
The system is composed of web crawling, agent reasoning, data extraction, enrichment orchestration, and a user interaction layer — all loosely coupled for customization and scalability.
Project Info
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GitHub Repository: https://github.com/mendableai/fire-enrich
Use Cases
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Sales/Marketing Lead Enrichment: Convert a simple list of emails into fully enriched company profiles to improve targeting and outreach efficiency.
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Market Research & Data Analysis: Quickly gather business insights, industry categorization, and funding history for competitive or trend analysis.
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CRM and SaaS Integration: Automate enrichment within CRM systems, enabling continuous data completion and updating.
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Developer Tools & Extensions: Build custom enrichment pipelines or plugins based on Fire Enrich’s modular, open-source foundation.
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Academic Research & Social Studies: Speed up initial data collection processes for academic studies or surveys with automated enrichment.