“I’ll just build a scraper” is one of the most expensive sentences in a developer’s vocabulary.
Not because scrapers are hard to write. They’re not. A basic BeautifulSoup or Playwright script can extract data from most sites in an afternoon. The problem is what comes after.
The initial build (the part you budget for)
Day 1 cost estimation:
- Research the site structure: 1h
- Write the scraper: 3–4h
- Test and debug: 2h
- Deploy to a server: 1h
Total: ~7–8 hours. At $75/h developer rate: ~$600.
This is what most people calculate. It’s a small fraction of the real number.
The ongoing maintenance (the part you don’t)
DOM changes
Websites redesign. Frameworks update. A/B tests change element IDs. A CSS refactor renames classes. Your querySelector('.price-container .current-price') breaks overnight.
Average DOM change frequency for an active site: every 2–4 months.
Time to fix a broken selector: 1–3 hours (depending on complexity).
Over 2 years:
- 6–12 DOM change events
- 1–3h each
- 12–36 hours of maintenance = $900–$2,700
Anti-bot upgrades
LinkedIn, Google, Amazon, and most major sites actively invest in anti-bot detection. What worked 6 months ago often doesn’t work today.
Anti-bot evolutions require:
- Proxy rotation updates
- User-agent string rotation
- Browser fingerprint spoofing adjustments
- Session management changes
- CAPTCHA solving integration
Average time per anti-bot response: 4–8 hours of engineering. Frequency: 2–4x per year for active targets.
Over 2 years:
- 32–64 hours = $2,400–$4,800
Infrastructure
A scraper that runs regularly needs somewhere to run. Options and real costs:
| Option | Monthly cost |
|---|---|
| EC2 t3.small | ~$15/month |
| Proxy pool (residential, 50GB) | $100–$300/month |
| CAPTCHA solving service | $10–$50/month |
| Monitoring + alerts | $5–$15/month |
| Total | ~$130–$380/month |
Over 2 years: $3,120–$9,120
The invisible costs
Opportunity cost
Every hour spent debugging a broken scraper is an hour not spent on your actual product. At a Series A startup, developer time is the most constrained resource. Spending 20 hours/year on scraper maintenance isn’t “free” — it has an opportunity cost of whatever feature or fix you didn’t build instead.
Fragility cost
Custom scrapers fail silently. You schedule a job at midnight. The site changed something. The scraper runs, returns 0 results, exits cleanly. You don’t find out until next week when you notice your database hasn’t been updated.
The downstream cost of acting on stale data — or not having data when you needed it — can far exceed the infrastructure cost.
Legal and compliance cost
A custom scraper that violates a site’s ToS creates legal exposure. If the target discovers automated access and sends a cease-and-desist (or worse, sues), your in-house scraper becomes a legal liability. Managed worker platforms accept the ToS responsibility as part of the service.
The total 2-year cost of a custom scraper
| Item | Low estimate | High estimate |
|---|---|---|
| Initial build | $600 | $1,200 |
| DOM maintenance | $900 | $2,700 |
| Anti-bot maintenance | $2,400 | $4,800 |
| Infrastructure (24 months) | $3,120 | $9,120 |
| Incident response (data outages) | $300 | $1,500 |
| Total | $7,320 | $19,320 |
For a scraper that extracts ~1,000 records/month over 2 years (24,000 records total), the cost per extracted record is between $0.30 and $0.80.
The alternative
Using a managed worker on Seek API for the same 1,000 records/month:
- Per-record cost: ~$0.008–$0.015
- 24 months × 1,000 records × $0.01 = $240 total
- No infrastructure
- No maintenance
- No anti-bot engineering
- Workers maintained by specialists
Cost per record: $0.01. Compared to $0.30–$0.80 for DIY.
When DIY still makes sense
There are legitimate cases to build your own scraper:
- Highly proprietary data that no worker covers
- Internal systems where security requires no third-party execution
- Very simple, stable targets that genuinely won’t change
- You need complete control for compliance or legal reasons
In these cases, build it. But calculate the real ongoing cost, not just the initial build, before deciding.
The math is clear
For anything that’s covered by a managed worker, the economics heavily favor API over DIY. The build is faster. The operations burden is zero. And the cost per record is typically 20–80× lower than maintaining a custom scraper.