Web scraping that doesn't get blocked.
We pull the prices, listings and market data your competitors hide behind bot defences, then keep it flowing, clean and validated, long after a naive scraper would have died.
Residential proxies · browser fingerprinting · TLS/JA3 matching · CAPTCHA handling · monitoring & auto-recovery.
Python
React
Next.js
Node.js
AWS
GCP
Azure
Docker
Kubernetes
PostgreSQL
MongoDB
Snowflake
Redis
StripeYou've felt this.
"Our scraper worked for a week, then Cloudflare killed it."
"The feed went stale and nobody noticed for days."
"Every site fights back differently, and they keep changing it."
"Legal asked whether this is even allowed."
The hard part isn't writing the scraper. It's keeping it alive as every site changes its defences.
Why a scraper that breaks quietly costs the most.
a blind spot in your pricing, on exactly the competitor you care about.
a stale or wrong row is worse than a gap, because you act on it.
sources, each with its own defences and its own failure mode.
How we get data that stays flowing.
Anyone can pull a page once. The job is making requests that keep getting through, with data you can trust, months after the first run.
Map the defences.
Cloudflare, DataDome, Akamai, PerimeterX, rate limits, fingerprint and header checks. We profile what each site uses before we touch it.
Blend in.
Rotating residential and mobile proxies, real browser fingerprints, matched TLS and HTTP/2 signatures, human-like timing, and CAPTCHA handling, so requests look like people, not bots.
Validate every row.
Ranges, shapes, currency and sanity checks before anything lands, so bad data never reaches you.
Monitor and auto-recover.
We alert on absence, retry with backoff, and replay the gap so the history has no hole.
Adapt.
Sites change their markup and their defences. We patch fast and regression-check the rest.
You get a feed that keeps arriving, clean, with the gaps filled in before you notice them.
A retail pricing platform
Tracks competitor pricing across a wide vendor set.
Two vendors had already failed to keep a competitor-pricing feed alive across 30-odd sources.
Rebuilt it around validation and monitoring, with proxy and fingerprint rotation per source.
31 sources, 4 hrs to 0 of daily manual checking, and 11 months with no data incident.
They came to us after two failed builds. This is the work we get hired to do.
Start with a feasibility check. No lock-in.
Fixed-price first step. You own the code from the first commit, and you can stop after any stage.
Feasibility check
We hit your hardest sources and tell you what's gettable and at what reliability, even if you never hire us again.
Book the feasibility callFeed build
The sources, cleaned, validated and delivered where you need them.
Book the feasibility callManaged feed
We keep it running through every site change; you just consume it.
Book the feasibility callThirty minutes on the actual problem
FreeA written plan, fixed price
1-2 weeksWorking software on your real data
3-6 weeksWe keep it standing, or hand it over
Ongoing
Straight answers.
"Is web scraping legal?"
"What about Cloudflare and DataDome?"
"Will it break when the site changes?"
"Can you handle logins and CAPTCHAs?"
Tell us which sites you need. We'll tell you honestly if we can get them.
A free call, no pitch deck. We'll ask which sources you need, how often, and what defences they run, then tell you what's gettable and roughly what it costs.
- hello@codeaza.com
- Reply time
- Same working day
- Team
- In-house, full-time
- Clients in
- Asia-Pacific · Europe · Americas