PHP · Go · MySQL · Elasticsearch

Large-Scale Web Crawling

At scale, crawling is an operations problem: frontier distribution, consistent dedup, backfill management, error recovery and storage that doesn't collapse under its own weight.

I build and tune crawling systems that reliably process millions of URLs across many hosts.

Problems

What I Can Help With

Scale crawling to millions of URLs across many hosts.

Symptoms

Typical Problems

frontier distribution deduplication at scale backfill and recrawl scheduling error recovery and retries distributed storage host politeness at scale
Track Record

Relevant Experience

Scaled Cenoskop's crawling system from 5M to 30M+ products daily by adding distributed workers, tuning the URL frontier, and implementing backfill scheduling. The system crawls across millions of URLs with per-host politeness.

Scope

What Is Included

scale planning
frontier + worker tuning
storage/dedup review
politeness tuning
monitoring and alerting
Process

How It Works

We audit your current crawl pipeline, then tune the frontier/workers/storage to your scale. From €3,000 for a high-volume tuning engagement.

Pricing

Starting from €3,000

High-volume crawl tuning and scale planning.

FAQ

Frequently Asked Questions

What's your crawl throughput experience?

Built and operated production crawlers processing 30M+ products per day across millions of URLs — frontier, workers and storage tuned for throughput.

More

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Selected Work

Systems I've Built

Price Intelligence Engine

Cenoskop / Levnobot

Crawler monitoring millions of products. Processing 30M products daily and comparing them.

Built and maintain the full crawling pipeline — from scraping through Elasticsearch indexing to price comparison.

Data Aggregation Scraping ElasticSearch
US Price Intelligence

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Price intelligence engine for the US market. Processing large-scale product data.

Built the data pipeline and crawling infrastructure for large-scale US product monitoring.

Data Aggregation Scraping Big Data
Contact

Not sure what's wrong?

Write what's happening and paste anything relevant — errors, logs, metrics. I'll have a look and tell you what I think.

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