Technographic data with contacts vs. deep technology profiling.
Datanyze and BuiltWith both use technographic data — information about the technology a company runs — but they serve different use cases. Datanyze is a Chrome extension that surfaces technographic signals while you are browsing a prospect's profile or website, and includes contact data. It is a prospecting tool. BuiltWith is a research database — 100 million+ technology profiles, detailed technology histories, and the ability to build precise lists of companies using specific technologies. It does not include contact data. They are not really competitors: Datanyze is for quick technographic lookups during prospecting; BuiltWith is for building highly targeted technology-based account lists.
Contact data vs. pure technographics
Datanyze includes contact data — email addresses, phone numbers, LinkedIn profiles — alongside technology signals. You can use it to find contacts at companies running a specific tech stack directly from your browser. BuiltWith has no contact data. It tells you what technology a company runs, when they started using it, and what they stopped using — but you need another tool to find actual contacts.
Depth of technology intelligence
BuiltWith's database is the most comprehensive publicly available source of website technology data. It tracks 100+ million websites, identifies thousands of technologies, and maintains history so you can see when a company adopted or dropped a tool. This level of depth — particularly the technology history — is not available in Datanyze. If identifying the exact set of companies running Shopify Plus, Klaviyo, and a specific payment processor is your goal, BuiltWith gets you there.
Pricing model
Datanyze is a self-serve tool at $21-55/user/month — accessible to individual reps and small teams. BuiltWith has a subscription model that starts at $295/month for basic access and goes to $2,495/month for the full dataset with API access. BuiltWith is a research and list-building tool; Datanyze is a daily-use prospecting extension. The use cases and budgets are different.
| BuiltWith | Datanyze | |
|---|---|---|
| Pricing | $295–2,495/month | $21–55/user/month |
| Contact data | No | Yes — email, phone, LinkedIn |
| Technology database size | 100M+ website profiles | Narrower coverage |
| Technology history | Yes — adoption and churn dates | No |
| Chrome extension | No | Yes — works while browsing |
| API access | Yes — on higher tiers | Limited |
| List building | Excellent — filter by any technology combination | Basic — not the core use case |
| Best for | Building precise technology-based target account lists | Quick technographic lookups during prospecting that include contact info |
The verdict
BuiltWith for building highly accurate technology-based target lists — if your ICP is defined by what technology a company runs, BuiltWith's database depth and filtering are unmatched. Datanyze for quick technographic lookups while prospecting — it shows you what a company runs while you are already on their site or LinkedIn profile, and includes contact data so you can act immediately. Most teams that run technology-targeted campaigns use BuiltWith to build the account list and a separate contact enrichment tool to find people.
Can BuiltWith replace a contact database like Apollo or ZoomInfo?
No — BuiltWith has no contact data. It is purely technographic intelligence. The right workflow is: BuiltWith to build a target account list based on technology criteria, then Apollo, ZoomInfo, or Clay to enrich those accounts with contacts and emails.
How accurate is Datanyze's contact data?
Datanyze is owned by Dun & Bradstreet, which has a large contact database, but data freshness varies. For tech companies and SMBs with high turnover, accuracy can degrade quickly. Email verification before sending is always required regardless of the source.
What can I do with BuiltWith's technology history feature?
Technology history is one of BuiltWith's most useful features for outbound. You can identify companies that recently adopted a technology (new customers are in setup mode and open to adjacent solutions), or companies that churned off a competitor (strong signal that they are re-evaluating the space). This kind of recency signal is not available in most other data sources.
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