We extract billions of records.
Large-scale web crawlers and data extraction pipelines with multi-IP rotation, browser fingerprinting, and anti-bot resilience.
Crawler platforms built for volume and hostile targets
When product, research, or intelligence teams need structured data from the web at scale, brittle scrapers fail. Codefend designs and operates crawler platforms built for volume: distributed fetching, session diversity, fingerprint profiles, and rotating egress IPs.
We engineer extraction pipelines that tolerate anti-bot friction, captchas where contractually allowed, layout drift, and unstable targets. Monitoring covers success rates, schema changes, retries, and delivery SLAs so datasets stay usable for analytics or production features.
Engagements can include architecture design, greenfield crawler builds, hardening of existing collectors, or ongoing operations. Output formats and warehouses are agreed up front—JSON, columnar stores, queues, or direct API feeds.
Keywords that matter here—web scraping at scale, data extraction, browser fingerprinting, residential/mobile proxy strategies, and resilient crawling—are treated as engineering problems with operational discipline, not one-off scripts.
Frequently asked questions
Do you only build, or also operate crawlers?
Both. We can deliver a system your team runs, or operate collection under an agreed SLA.
How do you handle legal and ToS constraints?
Scope stays within authorized targets and client responsibilities. We discuss compliance boundaries before build.
Can you integrate with our data warehouse?
Yes. Delivery to S3, BigQuery, Snowflake, queues, or custom APIs is common.
What scale can you reach?
Architectures are designed for high-volume extraction—including multi-billion record programs—subject to target limits and budget.
Talk about scope
Tell us the objective and we will scope the engagement with clear rules.