Home/Compare/Build vs Buy: In-House Scraping

Build it in-house or buy it? The honest math on scraping public data yourself.

Most of our datasets started as something a client tried to scrape internally. Sometimes that is the right call. This is how we would think about it.

Comparisons reflect publicly described product positioning as of September 2026. Vendors change offerings often; verify details with them before deciding.

DimensionBuilding it in-houseCompCurve
UpfrontEngineer time to find sources, handle anti-bot systems, parse formats, dedupeA scoping conversation and a project fee
OngoingSources change monthly; someone has to notice and fix itWe notice, because it is our only job, and validate every refresh live
CoverageUsually one or two sources you knowMultiple sources per population, cross-validated
VerificationRarely done; phones and emails unverifiedCarrier and SMTP verification, measured rates
ComplianceTerms, robots and privacy law are your problemWe decline sources that are off limits and document what we used
Time to first fileWeeks to monthsDays to weeks
When build winsA single stable source, in your core domain, with an engineer who owns itEverything else
Pick Building it in-house when the data is core to your product, comes from one stable source, and you have an engineer who will own it for years.

Pick CompCurve when the data supports your business rather than being it, the sources are many or hostile, or you need it verified and refreshed without thinking about it.

We have replaced in-house and vendor scrapes many times, usually by running in tandem for a month, comparing field by field, and switching only when the client trusts the match.

Want both? That is common.

Many clients keep a platform subscription for lookups and use us for the bulk pulls, the append passes and the niches the platform will not stock.

Ask about your use case