BuiltWith vs PredictLeads
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentBuiltWith compared with PredictLeads
PredictLeads sells technographics alongside job openings, funding, and news as source-linked API datasets, with a free tier at 100 calls a month. BuiltWith sells a web application with lists, alerts, and CRM pushes. Take PredictLeads if you are building your own signal pipeline and want dated records with provenance; take BuiltWith if you want a salesperson to be able to build a list themselves without an engineer.
Choose BuiltWith if
Companies whose product is installed on a website and who sell against a named competitor: Shopify and WooCommerce app vendors, martech and analytics tools, payment and checkout products, agencies pitching replatforming work, and anyone doing genuine market sizing on technology adoption.
Choose PredictLeads if
Technical go-to-market teams and developers building their own signal engine, Clay users who want dated source-linked signals inside their tables, and product teams embedding company intelligence into their own application, all of whom want data rather than another dashboard.
Side by side
13 attributes| Attribute | BuiltWith | PredictLeads |
|---|---|---|
| Category | Signals | Signals |
| Starting price | $0 for individual site lookups, then $295 per month for Basic (free plan available) | $0 for the first 100 API calls per month, then a $40 monthly minimum (free plan available) |
| Pricing model | Flat monthly or annual subscription by plan, with no per-row export credits; the lookup API is a separate metered product. | Self-serve pay as you go metered by API call, with volume-tiered per-credit rates and a monthly minimum, plus a quoted Enterprise flat-file plan. |
| Free plan | Individual site lookups through the website and browser extensions are free forever and unlimited; list building, exports, alerts, and API access are not included. | Up to 100 free API calls per month, self-serve, with no card required to start building against the API. |
| Free trial | No published free trial on paid plans | A free tier rather than a time-limited trial, available at sign-up |
| Best for | Companies whose product is installed on a website and who sell against a named competitor: Shopify and WooCommerce app vendors, martech and analytics tools, payment and checkout products, agencies pitching replatforming work, and anyone doing genuine market sizing on technology adoption. | Technical go-to-market teams and developers building their own signal engine, Clay users who want dated source-linked signals inside their tables, and product teams embedding company intelligence into their own application, all of whom want data rather than another dashboard. |
| Setup time | An hour to build a first list, longer to trust it. Sign up, pick your tracked technologies, and run a query; the work is in learning which filter combinations produce a list that is actually addressable rather than 40,000 rows of noise. | An hour to a first API response, since the free tier requires no card and the endpoints are conventional REST. Getting to a production motion where signals create tasks is a genuine engineering project of one to three weeks, or an afternoon if you are consuming it inside Clay. |
| Learning curve | Moderate and front-loaded. The interface offers little guidance and the filter grammar rewards experimentation. Most of the skill is knowing which technology combinations imply a real buying situation, and that is domain knowledge rather than software knowledge. | Low for a developer and high for everyone else. The API is straightforward and the documentation covers the datasets clearly, but the hard part is not technical: deciding which combinations of signals actually mean something for your business is judgement work that the product deliberately leaves to you. |
| Platforms | Web application, Chrome extension, Firefox extension, REST API, Bulk datasets | REST API, Real-time webhooks, Flat files via AWS S3, Google Cloud Storage, and SFTP, MCP endpoint for AI agents |
| Compliance | GDPR obligations apply to the contact data appended to exports, No publicly advertised SOC 2 attestation | Data is sourced from public company web pages, news, and filings rather than personal data brokers, European operating base subject to GDPR |
| Founded | 2007 | 2015 |
| Headquarters | Sydney, Australia | Ljubljana, Slovenia |
| Ownership | Bootstrapped | Venture-backed, lightly funded |
Strengths and limitations
BuiltWith
Strengths
- The deepest technographic history available anywhere: dated install and removal records per domain going back to 2007, which no competitor can retroactively manufacture.
- Removal alerts are a genuinely differentiated buying signal, because a company that just uninstalled a tool is shopping right now rather than someday.
- Exports are unmetered on paid plans, so the cost per record collapses at volume instead of climbing the way credit-based vendors do.
- CRM integrations to six systems are included on every paid tier rather than reserved for an enterprise plan.
Limitations
- The $295 entry price with a two-technology cap is a hard wall for small teams, and there is no published trial to de-risk it.
- The interface is dated and dense, and there is effectively no onboarding, so the first week is spent learning a filter grammar by trial and error.
- Support is thin by design in a company with a handful of staff; expect email responses, not a customer success manager.
- Detection is fingerprint-based, so a technology loaded through a tag manager, a server-side proxy, or a reverse-proxied subdomain can be missed entirely, and a leftover script from a tool nobody uses any more will read as an active install. Both directions of error are common.
PredictLeads
Strengths
- Every record carries a primary source URL, which is the single most useful quality property in signal data and something most vendors cannot offer.
- Published crawl cadences rather than vague freshness claims: news as often as every eight minutes, job data at least every 36 hours, company sites daily on average.
- Coverage genuinely at scale, including 120 million companies, 270 million historical job records since 2016, and 1.4 billion technology detections.
- Data is crawled first-party rather than licensed from brokers, so errors are fixable at source and the provenance chain is short.
Limitations
- There is no application. No dashboard, no alerts, no inbox, and nothing that tells a salesperson what to do this morning without you building it.
- Company-level only. Nothing about individual people, so champion job changes and person-level intent are outside the product entirely.
- No first-party signals at all: PredictLeads cannot see your website traffic, your product usage, or your email engagement.
- No scoring or prioritisation. Deciding that a funding round plus five engineering hires means an account is in market is logic you write and maintain.
Pricing compared
BuiltWith
Flat monthly or annual subscription by plan, with no per-row export credits; the lookup API is a separate metered product.
- Free lookups$0
- Basic$295
- Pro$495
- Team$995
Model it at two volumes. A niche app vendor tracking one competitor and exporting 2,000 rows a month pays $295 on Basic, which works out to roughly 15 cents per record, and that is expensive against a general contact database until you remember no contact database can tell you who installed a specific tag last week. A serious agency on Pro at $495 pulling 40,000 rows across a dozen technologies pays about a cent a record, which is cheap by any comparison. The value curve is steeply in favour of heavy users, and the $295 floor with a two-technology cap is the worst deal in the table. If you cannot see yourself running more than one query a month, use the free lookups and buy something else.
PredictLeads
Self-serve pay as you go metered by API call, with volume-tiered per-credit rates and a monthly minimum, plus a quoted Enterprise flat-file plan.
- Free$0
- Pay as you go, 101 to 5,000 calls$40 minimum plus $0.04 per credit
- Pay as you go, 5,001 to 100,000 calls$0.02 falling to $0.01 per credit
- Pay as you go, above 100,000 calls$0.004 falling to $0.002 per credit
- EnterpriseCustom
For a team that can write code or drive a Clay table, PredictLeads is the cheapest credible signal data on the market by a wide margin. A hundred free calls a month to prototype, a $40 floor to go live, and per-call rates that fall to fractions of a cent at scale, against a category where packaged platforms start at thousands of dollars a month for signals they source from providers like this one. The value collapses entirely if you cannot build: there is no interface, no alerting, and no scoring, so a non-technical buyer will spend $40 and get nothing. Judged as a data purchase rather than a software purchase, the coverage numbers, the published crawl cadences, and the source URL on every record make this unusually good value.
Editorial verdict on each
BuiltWith
BuiltWith is the definitive technographic dataset and it prices like a tool that knows it has no real substitute. The install and removal history is the asset: knowing that 300 companies dropped your competitor's tag last month is a better prospecting list than any general contact database can produce, and no vendor can go back and manufacture eighteen years of dated records. Buy Pro at $495 if technology installs are the literal trigger for your sale and you will pull thousands of rows a month, because unmetered exports make the cost per record trivial at that volume. Do not buy Basic at $295 hoping to test the idea cheaply, because two tracked technologies is not a test, it is a constraint; use the free lookups or start with Wappalyzer instead. And go in understanding that you are buying a list, not a motion: BuiltWith hands you the names and expects you to already know what to do with them.
Read the full BuiltWith profilePredictLeads
PredictLeads is what you buy when you have decided to build the signal engine yourself. The coverage is real, the crawl cadences are published rather than implied, and the primary source URL on every record is a quality property almost nobody else in this category offers. Pricing starts free, floors at $40 a month, and falls to fractions of a cent per call, which makes it dramatically cheaper than any packaged platform running on comparable data. The catch is unambiguous and you should not talk yourself past it: there is no dashboard, no alert, and no scoring, so the value only exists if you or your Clay table can turn API responses into something a person acts on. Technical go-to-market teams should treat this as a default component of their stack. Everyone else should buy a tool with an interface and let it worry about where the data came from.
Read the full PredictLeads profileBuiltWith profile last reviewed 2026-08-22; PredictLeads last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.