A scalable, automated data pipeline that transforms thousands of company websites into clean, structured, and queryable business records using self-hosted crawling and AI-powered extraction.
AI-Powered Web Data Extraction Pipeline
A growing B2B platform needed a scalable way to transform information available across thousands of individual company websites into clean, structured, and searchable business records.
Manually researching each company was not practical at scale, while processing millions of pages through managed scraping APIs would introduce significant recurring costs.
We developed a self-hosted web crawling and AI-powered data extraction pipeline capable of automatically crawling websites, identifying relevant business information, structuring the extracted data, and feeding it into a centralized database.
The solution combines scalable crawling infrastructure, workflow automation, AI-based extraction, monitoring, and cloud deployment into a reusable data pipeline designed for large-scale and recurring data processing.
AI-Powered Web Data Extraction Pipeline
A growing B2B platform needed a scalable way to transform information available across thousands of individual company websites into clean, structured, and searchable business records.
Manually researching each company was not practical at scale, while processing millions of pages through managed scraping APIs would introduce significant recurring costs.
We developed a self-hosted web crawling and AI-powered data extraction pipeline capable of automatically crawling websites, identifying relevant business information, structuring the extracted data, and feeding it into a centralized database.
The solution combines scalable crawling infrastructure, workflow automation, AI-based extraction, monitoring, and cloud deployment into a reusable data pipeline designed for large-scale and recurring data processing.
Self-Hosted Crawling Infrastructure
We deployed Firecrawl's open-source crawling infrastructure on cloud resources under our control rather than relying entirely on managed scraping APIs.The system supports automated website crawling, browser-rendered pages, asynchronous job processing, and configurable crawl behavior.Crawl scope can be optimized to prioritize useful pages such as company profiles, products, services, capabilities, and contact information while avoiding low-value content such as blogs, legal pages, and login flows.Automated Pipeline Orchestration
n8n orchestrates the complete data-processing workflow from source website ingestion to structured data generation.The workflow automatically reads source URLs, initiates crawl jobs, controls processing rates, monitors asynchronous crawl progress, collects results, and routes extracted content through downstream processing.This allows large batches of websites to be processed continuously with minimal manual intervention.AI-Powered Data Extraction
Raw website content is processed through AI-powered extraction workflows that identify relevant business information and convert it into standardized, structured records.The system can extract information such as company details, products, services, capabilities, industries served, and contact information from websites with widely different formats.The resulting structured data can then be stored, searched, filtered, analyzed, or consumed by downstream applications.Automated Monitoring & Recovery
The pipeline was designed for long-running, unattended operation.Monitoring workflows detect failed crawl jobs, processing errors, stalled data sources, and interrupted workflows.Automated restart and recovery mechanisms help keep processing active, while real-time alerts notify the team when manual intervention is required.Cost-Optimized Cloud Architecture
Instead of over-provisioning infrastructure for theoretical peak capacity, the crawling environment was configured around the concurrency the underlying hardware could reliably support.The stack runs on right-sized AWS infrastructure and can be operated on-demand when crawling or refresh cycles are required.This approach significantly reduces recurring processing costs while allowing the same infrastructure to be reused for future dataset updates.A scalable, automated data pipeline that transforms thousands of company websites into clean, structured, and queryable business records using self-hosted crawling and AI-powered extraction.
Self-Hosted Web Crawling
Large-Scale Website Processing
AI-Powered Data Extraction
Automated Pipeline Orchestration
Intelligent Page Filtering
Asynchronous Job Processing
Automated Failure Recovery
Real-Time Monitoring & Alerts
Structured Data Integration
Cost-Optimized Cloud Infrastructure
| Metric | Value |
|---|---|
| Target Company Websites | 100,000+ |
| Maximum Pages Crawled per Website | 25 |
| Estimated Page Fetches per Full Cycle | ~2.5 Million |
| Managed Scraping API Cost | Several Thousand Dollars per Full Pass |
| Self-Hosted Infrastructure Cost | A Small Fraction of Managed API Cost |
| Manual Research Effort | Years of Dedicated Research Time |
| Pipeline Processing | Fully Automated & Unattended |
| Recurring Cost per Data Refresh | Near-Zero Marginal Infrastructure Cost |
Significant Processing Cost Reduction
Self-hosting the crawling infrastructure significantly reduced dependency on pay-per-request managed scraping APIs. The same infrastructure can be reused across repeated crawling and data-refresh cycles, creating a more sustainable cost model for large-scale data processing.
Scalable & Unattended Data Processing
The automated pipeline enables thousands of websites to move through crawling, extraction, and data-processing workflows with limited manual supervision. Monitoring, alerting, and recovery mechanisms help maintain reliable operation during long-running processing cycles.
Full Ownership of the Data Pipeline
The solution provides complete control over crawl scope, page filtering, extraction logic, infrastructure capacity, data structure, and refresh frequency. The architecture can evolve alongside changing business and data requirements without being tightly constrained by a third-party API's pricing model or feature roadmap.
Take a look at how we've partnered with businesses to build impactful digital solutions-each project tailored to unique goals, challenges, and industries.
We’ll get back to you within 24 hours.