doreq
Data acquisition engineering

Reliable data from targets that don't want to be read.

DoReq designs, builds and operates data acquisition for high-volume clients. We take on heavily protected targets, complex request flows and sustained throughput, and deliver the result through one managed API.

A specialist team. Every engagement is scoped, engineered and operated for one client.

managed access layerper-client
Your systemone request
POST /fetch { "url": "https://target/…" }
DoReqengineered & operated
Client fingerprint fidelity Session & identity management Network routing Challenge handling Real-browser rendering Response validation Retries & de-duplication
Targetprotected
Bot management JS challenges TLS / HTTP2 checks Rate limits Signed APIs
Expertise

We take on the targets other providers turn down.

Generic scraping APIs are fine for easy pages. We're for the rest: workloads that are too large, too protected or too intricate for off-the-shelf tools.

01

High volume

Access capacity planned around your daily volume and peak windows, then held there in production.

  • Reserved, per-client capacity
  • Caching and request de-duplication
  • Throughput sized before go-live
02

Anti-bot protections

Targets behind enterprise bot management, JavaScript challenges and fingerprint checks at the network and browser level.

  • TLS and HTTP/2 fingerprint fidelity
  • Session, cookie and identity lifecycle
  • Real-browser rendering where required
03

Complex targets

Data that isn't on the page: internal XHR and JSON APIs, signed requests and multi-step flows that depend on earlier responses.

  • Internal and XHR API access
  • Referer-bound and stateful requests
  • Custom endpoints per target
Operated, not just delivered

Protected targets change. Your integration doesn't.

Getting past a protection once is easy. The hard part is getting past it every day, at full volume, while the target keeps changing. That ongoing work is what we do.

Continuous adaptation

When a target updates its defences or front end, we adapt the access layer. Your requests stay the same.

Validated responses

We catch block pages, challenges and empty responses before they reach you, and handle them as retries, not as data.

Native payloads

You get the target's own JSON or HTML, unchanged, so your parsers keep working and nothing is lost to someone else's schema.

Monitored on our side

We track success rates and latency for every target, so a degradation is ours to fix before it becomes your incident.

One interface

Every target sits behind the same plain HTTP API: one endpoint, one credential, one error model.

Engineers, not tickets

You work directly with the engineers who build and run your targets.

In production

Naver Shopping, at production volume.

Approach

Scoped, proven, then operated.

We only commit to a target once a pilot has proven it at your volume.

01 — Assess

Target assessment

You share the target, the data you need, sample URLs and expected volume. We analyse the protections and request flow, then confirm feasibility and send a proposal.

02 — Pilot

Proof at your volume

We build the access layer and give you a pilot endpoint. You run real traffic, and we review success rates, latency and data completeness against your requirements.

03 — Operate

Managed production

We reserve capacity for your workload on agreed terms. We monitor and maintain it on our side while the target changes underneath.

Engagement

Built for clients who need volume.

We work with a small number of clients whose data needs are large and hard to meet. Pricing is set per engagement, based on target complexity, committed volume and freshness.

  • Price intelligenceCatalog, pricing and stock monitoring across protected marketplaces.
  • Market researchLarge-scale collection for analytics and research datasets.
  • Data platformsA dependable upstream for companies that resell or enrich web data.

Tell us about your target

We usually reply within one business day with an initial feasibility read.

  1. The target site(s) and the data you need
  2. Expected requests per day and your peak windows
  3. Required freshness and latency
  4. A few sample URLs