Hard targets, handled
Bot-protected, challenge-gated, JS-rendered, and captcha-protected public pages. We run these in production, not as POCs.
Custom data pipelines
Web data extraction services for hard targets and long horizons.
We build and operate structured data pipelines from websites and APIs — including bot-protected, challenge-gated, and JS-rendered sources. Delivered as CSV, JSON, or API — with optional AI enrichment on top.
12+ yrs
Operating production scrapers
3+ yrs
Avg. pipeline in production
48 h
Scoped quote turnaround
Trusted by
- A physical-AI platform
- A litigation-finance firm
- A healthcare market-intelligence team
- A media production company
- A software asset‑management platform
- An alternative-data platform
Most engagements anonymized. Named references available on request.
How we work
What a custom data-extraction engagement actually looks like.
Most scraping vendors sell credits, proxies, or no-code tools. We sell a working pipeline — scoped to your source, built against your schema, and maintained as the source changes.
Pipelines, not scripts
We build for the three-year horizon. Source-change monitoring, schema validation, retries, alerts, and maintenance are part of the engagement — not out-of-scope surprises.
Engineers, not ticket queues
You talk to the engineer who designed and owns your pipeline. No tiered support handoffs, no account-manager layer translating requirements.
AI layer on your extracted data
Natural-language Q&A over your datasets, AI-enriched metadata, auto-generated briefings, and agent workflows — built on real data, not a generic chatbot. Learn more →
What we extract
The sources our clients actually ask for.
A decade of inbound requests points to the same categories. Each has its own set of anti-bot patterns, schema quirks, and refresh cadences — all of which we handle.
Marketplaces & product catalogs
Distributor catalogs, reseller product feeds, marketplace listings, SaaS/app-store directories — schemas normalized across sources.
Court records & legal filings
Federal and state court dockets, filings, case metadata — continuous monitoring with jurisdiction-specific access patterns.
Government & regulatory data
Licensing registries, carrier databases, public filings, compliance records — bulk extraction from agency portals with session handling.
Professional & provider directories
Healthcare providers, attorneys, specialists, association members — structured contact and credential data at national scale.
Pricing & competitive intelligence
Retail pricing, marketplace buy-box, inventory, and promotion tracking — delivered daily or on demand into BI warehouses.
Industry-specific databases
Out-of-home media inventories, 3D-model catalogs, software license data, industry association records — long-tail sources welcomed.
Engagement model
From inbound to delivered data in three stages.
Scoped quote within 48 hours. Validated sample before committing. Continuous delivery with maintenance folded into the retainer.
Scope & quote
You share the source(s), schema, volume, and cadence. We return a fixed-scope quote with a delivery plan within 48 hours. No long sales cycle.
Build & validate
We build against the source, deliver a validated sample, and agree the schema and QA criteria before committing to a production run.
Operate & maintain
Continuous extraction to your destination — CSV, JSON, API, database, or S3. Source-change maintenance and monitoring are included in the retainer.
Case snapshot — anonymized
3D-model training data from 20+ distributor sources, running 3+ years.
A physical-AI platform needed continuously-refreshed 3D-model metadata and assets from a fragmented set of distributor and marketplace sources. Each source had distinct authentication, rate limits, and format drift over time. We built and still operate the extraction pipeline, delivering normalized catalog data on a monthly cadence for their training and retrieval stack.
20+ sources
Concurrent distributor and marketplace sites
3+ years
Pipeline in continuous production
Monthly refresh
Normalized metadata delivered into training pipeline
Pricing
Managed engagements start at $1,000/month.
Retainer-based pricing scoped to sources, volume, cadence, and SLA. No per-record metering, no failed-request billing, no credit packs. Full pricing details →
Professional
from$1,000/mo
Single-pipeline managed extraction for 1–3 target sources with daily or weekly delivery.
- Managed proxies, captcha, retries
- CSV, JSON, or API delivery
- Monthly source-change maintenance
- Email support
Enterprise
from$3,000/mo
Multi-source managed operations with real-time or hourly delivery and dedicated engineering attention.
- Up to 15 sources, QA & validation
- Real-time or hourly delivery
- 99.5% uptime target
- Shared dedicated engineer & Slack
Dedicated
Let’s talk
Dedicated engineering pipeline with custom SLAs, unlimited sources, and source-fix targets. Scoped per engagement.
- Unlimited sources, custom SLA
- Dedicated engineers + account mgr
- 24h source-fix target, 99.9% uptime target
- Compliance & security reviews
Field notes
From the engineering desk.
Notes from a decade of running production scrapers — what breaks, what scales, what clients ask for next.
Why most data-extraction projects fail after six months.
The real cost of scraping isn't the initial build — it's the ongoing maintenance nobody budgets for. Here's the pattern we see repeat.
Read moreWhy normalization is the hardest part of data extraction.
Scraping HTML is easy. Making twenty sources produce one usable schema is where the project actually lives.
Read moreWhy schema drift quietly breaks datasets over time.
Sources don't announce when they change. Catching drift before it poisons downstream systems is a core part of pipeline design.
Read moreTell us what you need to extract.
Describe the sources, schema, and cadence. We'll reply with a scoped quote within 48 hours — or tell you honestly if it's not a fit.
Request a quote