Who I work with
AI startups that need proprietary data to make their model useful - RAG products, vertical AI platforms, research tools.
Data companies whose crawlers are failing, brittle, or expensive - sales intelligence, recruiting, market intelligence vendors.
Founders sitting on records but no strategy - millions of rows already, no path to expand the moat.
Agencies who need senior data acquisition expertise without a full-time hire.
What I'm not: a general software consultant, a Python contractor, a generic "AI consultant," or staff augmentation.
How to work with me
Three offers, ordered by depth. Most engagements start with the Audit.
Data Acquisition Audit
A written review of your current (or proposed) web data acquisition stack. Built so you walk away with concrete architecture decisions, even if we never work together again.
- Crawl architecture review - source coverage, scheduling, dedup, freshness, failure modes
- Cost review - cost per acquired document, vendor spend, where you're overpaying
- Anti-bot review - detection surface, proxy strategy, fingerprinting posture, sustainability
- Infrastructure review - reliability, observability, on-call exposure
- Risk review - legal, compliance, vendor concentration, single points of failure
- Executive summary - what to fix this quarter, what to build next, what to stop spending on
The Audit is the natural first step. It earns the conversation that produces the next two offers.
Proof-of-Value Build
A focused, fixed-fee build of one critical piece of acquisition infrastructure. Scoped against your audit (or your existing roadmap) and delivered end-to-end.
- Initial crawler implementation for a high-value source
- Extraction pipeline with structured output for LLM ingestion
- SERP acquisition system (the pattern behind 500M+ queries/month at ZoomInfo)
- Competitor monitoring or market-signal pipeline
- LLM ingestion workflow - markdown-native, embedding-ready
Fixed fee, written scope, defined "done." No open-ended hourly billing.
Fractional Head of Data Acquisition
A senior owner of your data acquisition strategy without the cost of a director-level full-time hire. Embedded enough to make decisions, not so embedded that I become a ticket-clearer.
- Architecture reviews and design oversight
- Vendor evaluation (proxies, scraping APIs, data brokers, infra)
- Hiring support - JD design, technical interviews, calibration
- Strategy: what to build internally, what to buy, what to retire
- Monthly written briefing + ad-hoc async access
What I don't do: sprint work, ticket ownership, staff augmentation. Clients pay for judgment, not labor.
How we work together
- Written intake. You describe the data you need, what it costs you today, and the systems it feeds. 20 minutes, async, no call required.
- Scope within 48 hours. I send a written scope, deliverables, and start date - matched to the right offer.
- Start within the week. Audits typically deliver inside 2 weeks. Build engagements ship first artifacts in week one.
Pre-scoped feeds (productized menu)
Already know exactly what you need? I run 60+ productized, recurring data feeds on the same infrastructure I deploy for clients - each scoped to an input list you provide, normalized, and delivered to S3, a webhook, or your database. If you're not sure which feed, or whether to build vs. buy, start with the Audit.
Common questions
Why start with the Audit?
How fast can the Audit turn around?
Do you sign NDAs?
Will the Fractional role cover my engineering team's tickets?
Do you work with non-AI companies?
About me
Currently leading dark-web and threat-intelligence data collection at Recorded Future. Before that, a decade at ZoomInfo scaling web acquisition from startup to IPO - SERP engines processing 500M+ queries/month, crawler frameworks handling 1B+ pages/month, agentic extraction on LLMs and domain-specific SLMs, and multi-vendor integration across 600M+ people and 100M+ companies. I run Nodesnack on the side - the same infrastructure I use for client engagements. See resume and portfolio for context.
Get in touch
Most engagements start with a written intake for the Data Acquisition Audit. Email andrew@abharrismethods.com.
The button above pre-fills these in your email client. Answer what you can; partial intakes are fine.
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1
YouName, role, company.
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What you're buildingAnd why web data matters to it.
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3
The acquisition problemWhat data you need, and what's broken or missing today.
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Current setupNothing yet · DIY scrapers · vendor (which?) · inherited mess.
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What it's costing you todayManual hours, vendor spend, or product capability you can't ship.
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Scale & timingSources, volume, refresh cadence, when you'd want to start.
> replies within one business day