Field Notes

Web Crawling Outsourcing: Costs and Legal Issues to Know Before You Commission

A practical breakdown of web crawling (scraping) outsourcing costs by target and scale, the legal issues to check before ordering — copyright, terms of service, and privacy law — and the maintenance structure unique to crawlers.

Freesi··7 min read

Real Cost Ranges by Crawling Type

Crawling development costs are determined by "how many sites, how often, and through what defenses" you collect.

TypeExamplesCost Range (KRW)Timeline
One-off collectionSingle site scraped once, delivered as Excel/CSV0.5M–2M3 days–1 week
Scheduled collector1–3 sites collected daily/hourly, loaded into a DB2M–5M1–3 weeks
Collection + dashboardAutomated collection plus price/stock comparison screens and alerts5M–15M4–8 weeks
Large-scale / anti-bot handlingDozens of sites, login and dynamic rendering, IP distribution10M+2+ months

Three variables that swing the cost

1. Dynamic rendering — Pages drawn by JavaScript require browser automation, which more than doubles both server cost and effort.

2. Login and bot blocking — Session persistence, CAPTCHAs, and rate limits each add separate effort.

3. Data cleaning level — "Raw scraped output" and "deduplicated, normalized data" are different deliverables. Agree in advance on how refined the data you receive should be.

Legal Issue #1: May You Collect This Data at All?

With crawling, checking the legal boundary comes before the technology. Review these three questions before ordering. (These are general working guidelines, not legal advice — if crawled data is the core of your business, get a lawyer's review.)

1. Is the data public?

Collecting public information that anyone can see without logging in is generally considered acceptable. Data visible only after login, or paid content, can raise terms-of-service violations and unfair-competition issues.

2. Does it contain personal information?

Names, phone numbers, and emails can violate privacy law (in Korea, PIPA) when collected and used without consent — even if publicly posted. If "data about people" is the goal, a prior review is mandatory.

3. Does it infringe database rights or copyright?

Wholesale copying of a database built with substantial investment, to build a competing service, can infringe database-producer rights under copyright law. Collection for processing and analysis (price comparison, market research) is evaluated differently from republishing the original as-is.

A safe ordering habit: check the target site's terms of service and robots.txt, and look for an official API first. When an official API exists, it's cheaper, more stable, and legally clean compared to crawling.

Legal Issue #2: Be Wary When a Vendor Talks Like This

In crawling projects, a vendor's attitude is also a signal of legal risk.

Warning signs

"We can scrape anything, no problem" — a vendor who never asks about legal boundaries shifts the liability onto you when problems arise.

Proposing CAPTCHA/bot-block "bypass" as if it were a standard feature — circumventing explicit blocks works against you in a dispute.

Never asking how the collected data will be used — internal analysis versus resale carry completely different risk.

Good signs

They check for an official API first

They design request frequency to avoid burdening the target server (excessive requests can constitute business interference)

They review robots.txt and the terms of service together with you

They flag personal-data fields before collecting

In the contract, specify the collection targets, fields, and frequency, and define the split of liability if legal issues arise — it protects both sides.

A Crawler Is Never "Finished": Understand the Maintenance Structure

The most common dispute in crawling outsourcing arrives months after delivery: when the target site is redesigned, the crawler will break.

This is not a defect — it is the nature of crawlers. You don't control the target site, and when its HTML structure changes, the collection logic must change too.

So structure the contract like this

Separate warranty from "site-redesign response" — bug fixes (free) and adapting to target-site changes (paid) are different items. Agree the per-incident price or a monthly maintenance fee in advance.

Include failure-detection alerts in scope — crawlers dying silently, with a month of missing data discovered later, is a common accident. "Email/alert on collection failure" is a must-have option.

Budget the monthly operating cost — servers (higher spec if browser automation is involved), proxy/IP costs, and storage run monthly. Plan for roughly 50K–500K KRW per month on top of the development fee.

If scheduled collection matters to your business, a monthly maintenance contract where the vendor is accountable for collection success rates often beats one-off development on total cost.

#Crawling#Scraping#Data Collection#Outsourcing Cost#Legal Issues

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Frequently asked questions

Can I crawl competitor pricing data?
Collecting publicly visible prices (no login required) for internal analysis and price comparison is generally considered acceptable. However, overloading the target site, circumventing explicit blocks, and reselling the collected data can create legal problems. If crawled data is central to your business, get a lawyer's review.
What is the minimum budget for a crawling project?
A one-off job — one site scraped once and delivered as Excel — starts around 0.5M–2M KRW. A scheduled collector that runs daily and stores to a database realistically starts at 2M KRW and up.
My crawler stopped after a few months — is that covered by warranty?
It depends on the cause. A bug in the crawler itself falls under warranty (free), but if the target site was redesigned, adapting to it is normally paid work. Write this distinction into the contract up front, and include failure-detection alerts in scope to prevent disputes.
Is crawling ever better when an official API exists?
Rarely. If an official API provides the data you need, it is almost always better — stable, legally clean, and cheaper to maintain. Crawling is the fallback for when no API exists or the API doesn't expose the fields you need.

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