Engineering TCO & Architecture Evaluation

Build it in-house, or don’t.

Written for the engineering lead or executive drafting the justification document. Objective analysis of in-house web scraping maintenance, metered scraping API risk, and managed gateway economics — including when building it yourself is the right choice.

7 of 7 Ongoing operational burdens carried permanently by your team when building in-house.
4 of 7 Still your team's maintenance burden under metered APIs (plus pay-per-request cost multipliers).
0 of 7 Engineering maintenance burden on JUMP. Full clearance, scheduling, and delivery handled for you.

What stays your engineering problem, forever

Building a prototype scraper takes a week. This matrix breaks down the ongoing operational maintenance required to keep data pipelines running reliably 18 months later.

Capability & Operational Task In-House (DIY) Metered API JUMP Gateway
Bypassing Bot Walls & Captchas TLS JA4 inspections, anti-bot challenge updates, and browser detection. × Your Burden Ongoing dev & patches ✓ Handled 75× credit markup ✓ 100% Handled Included in flat rate
Managing & Rotating Clean IP Pools Sourcing proxy pools, IP ban handling, and continuous proxy health. × Your Burden Monthly proxy bills ✓ Handled GB bandwidth fees ✓ 100% Handled Included in flat rate
Real Human Browser Rendering Headless Chromium rendering, mouse tracking, canvas noise, and OS signatures. × Your Burden Server memory crashes ✓ Handled Per-minute browser fees ✓ 100% Handled Dedicated 1:1 slots
Handling Logins & Password Vaults Zero-leak credential storage, 2FA prompt relay, and automated session renewal. × Your Burden Insecure custom code × Your Burden No credential vault ✓ 100% Handled Hardware enclave vault
Scheduling & Smart Queue Backoff Exponential backoff, pacing, concurrency limits, and retry queues. × Your Burden Custom queue servers × Your Burden You build scheduling ✓ 100% Handled Automated queueing
Direct Data Delivery to Destinations Live streaming clean rows into Google Sheets, PostgreSQL, S3, or Webhooks. × Your Burden Custom ETL loaders × Your Burden Raw JSON output only ✓ 100% Handled Direct data streaming
Fixing Scraper Breakage When Layouts Change Monitoring target website DOM changes and updating broken selector rules. × Your Burden Engineers on call × Your Burden Engineers on call ✓ 100% Handled Maintained by ADUMU
Straight answer

When you should build it yourself

Three situations where JUMP is the wrong purchase. If you are in one of them we would rather say so now than sell you capacity you do not need.

Your sources aren’t defended

Targets that answer a plain HTTP GET with no bot challenge do not need a browser, a stealth address, or us.

Use Scrapy in Python or Crawlee in Node, with Playwright where a page needs rendering.
Collection is your product

If proprietary crawling is the thing that makes your business different, handing it to a vendor is a strategic risk, not a saving.

Keep it in house, and staff it properly.
The volume is small

A handful of static pages a day does not justify a managed platform — ours or anyone’s.

A scheduled script on a machine you already own.

None of those? Then the seven rows above are your situation, and they do not go away by writing the first version yourself.

Put real numbers in your evaluation.

Compare our published lane rate cards ($99/mo BYOP, $220/mo Managed) against the salary of 2 full-time scraping engineers.