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August 2026 · updated 2026-08-29

How Much Is BuiltWith? $295 a Month, and No Contacts

BuiltWith carries the highest published entry price of any data tool in this directory, three times the next one, and it does not sell you a person, an email address or a phone number at any tier.

$295 a month, and it does not sell you a person.

BuiltWith detects which technologies a website runs. That is the product, that is all of the product, and it is genuinely useful if you sell something that integrates with or replaces a detectable technology.

It is also, on this site's own records, the most expensive published entry price of any data tool in the directory.

Seventeen of the twenty-four data-research records here hold an entry price. BuiltWith's $295 is the highest of them and the second highest is $99, so the gap between first and second place is just under three times, 2.98 to be exact [computed]. That is not a fact anybody publishes and it is the first thing worth knowing before you compare feature lists.

What does BuiltWith cost?

What a technographic record is, and what it is not

A technographic record is a claim that a domain was observed running a named technology on a named date. It is not a company record, it is not a contact record, and it is not a statement about now. Detection works by looking at what a site serves in public, so it sees a script tag and infers a product, which means it is confident about the visible and blind to everything behind a login or a server-side integration.

That gives it two distinct failure modes and they are not symmetrical. A false positive is a tag that is still in the page after the product was cancelled, and it costs you a wasted touch. A false negative is a customer whose stack is invisible from outside, and it costs you the deal you never knew existed. A single accuracy percentage averages the two into a number that describes neither, which is why the test described at the foot of this page counts them separately.

The other definition worth fixing before the price is what this product does not sell. There are no people in it. Most of the twenty-four data tools in this directory return a named person with a contact method attached; this one, Store Leads and Crunchbase return companies with attributes, and this site's record for Crunchbase says so in the same words: company data, not contact data, and you still need to find the person. So the $295 is not comparable to $99 at UpLead or $49.99 at LeadMagic in the way a price table implies. It is the first of two bills rather than an alternative to one.

$295 a month, self-serve, with a free lookup tool underneath it that cannot export.

Field in entities.tsValueVerified
entryMonthly$2952026-08-12
perSeatNot recordedn/a
freeTiertrue2026-08-12
selfServetrue2026-08-12
pricingModelflat2026-08-12
Review in reviews.tsNonen/a

Annualised, that is $3,540 a year [computed]. The repo holds no tier ladder above the entry price, no seat rate, no record allowance and no overage rate, so $295 is the only number here and every figure derived from it is twelve times a monthly rate.

The most expensive entry price in the category, by three times

Counted fresh over the 17 priced data-research records on 29 August 2026.

VendorEntry price a monthWhat the entry price buysVerified
BuiltWith$295Technology detection, no contacts2026-08-12
UpLead$99170 complete contacts2026-08-11
Store Leads$75E-commerce store data2026-08-12
Apollo$69Contacts plus sequencing and a dialer2026-08-25
LeadMagic$49.992,000 credits, 333 complete contacts2026-08-07
Hunter$492,000 email finds, no phones2026-08-07
Lead411$491,000 exports a seat, dial included2026-08-06
Snov.io$39Allowance not recorded here2026-08-07
FullEnrich$29500 credits2026-08-07
Clearbit$20A HubSpot Data Hub seat2026-08-12
BetterContact$15200 credits2026-08-07

Read the second column against the third and the point lands. Every row below the first buys records with people in them. The top row buys a map of technology stacks and leaves the people to you.

What $295 buys somewhere else

This is the comparison nobody runs, because technographics and contact data are usually filed as different categories. They come out of the same budget.

The same $295 a month, spent instead onComplete contacts a monthRate usedRead
LeadMagic1,966 [computed]$0.1502026-08-21
Prospeo1,204 [computed]$0.2452026-08-21
BookYourData744 [computed]$0.3962026-08-07
Lusha523 to 647 [computed]$0.456 to $0.5642026-08-12
UpLead506 to 790 [computed]$0.373 to $0.5822026-08-21

Annualised, $3,540 buys 23,600 complete contacts at LeadMagic's published rate [computed], each with a verified email and a mobile direct dial attached.

That is not an argument that BuiltWith is bad value. It is a statement of what the money does elsewhere, and it is the number a technographics purchase has to beat. If knowing that a company runs a competitor's checkout makes a list five times more likely to convert, $295 is cheap. If it makes it 10% more likely, twenty thousand extra contacts wins.

Nobody has measured that lift, including this site, which is stated again at the bottom of this page.

The free tier cannot size the product

This is the most practical problem with the purchase and it is not about the price.

This site's audit of fifteen data tools' free tiers recorded BuiltWith's as free forever for individual site lookups, one domain at a time, with no export. That classifies it as an allowance that renews, which sounds generous, and it fails the one test that matters.

Export is the test that halved that list. Six of the fifteen tools had an allowance that renewed monthly and three of those six would not let you take anything out, which turns a free tier into a demo. BuiltWith is one of the three. You can confirm that any single site you name runs a given technology, and you cannot answer the only question that decides the purchase, which is how many companies in your addressable market run it.

So the sizing test costs $295. On a $15 to $99 category that would be an annoyance. At three times the next entry price it is the main risk in the purchase, and it is the reason to ask for a count before you pay rather than after.

Store Leads is the other record of this shape here

Two records of a shape is not a market. Here is the whole data category in this directory, ordered by what it costs to get in the door, which is the only view that shows how far outside the band this entry price sits.

ToolEntry price, monthly basisFree tierBuy without a callMeterPrice read on
BetterContact$15YesYesflat2026-08-07
Clearbit$20NoYesflat2026-08-12
Clearout$23YesYesusage2026-08-07
FullEnrich$29YesYesflat2026-08-07
Crunchbase$29YesYesper-seatNo date on record
Snov.io$39YesYesflat2026-08-07
Hunter$49YesYesflat2026-08-07
Prospeo$49YesYesflat2026-08-07
Findymail$49NoYesflat2026-08-07
Lead411$49NoYesusage2026-08-06
NeverBounce$49YesYesusage2026-08-12
LeadMagic$49.99NoYesflat2026-08-07
Apollo.io$69YesYesper-seat2026-08-25
Store Leads$75YesYesflat2026-08-12
UpLead$99NoYesusage2026-08-11
BuiltWith$295YesYesflat2026-08-12
Lusha$0 free tier, then annual onlyYesYesusage2026-08-12
BookYourData$99 once for 250 creditsNoYesusage2026-08-12
DropcontactNo monthly rate recorded, priced in eurosYesYesflat2026-08-07
ZoomInfoNot publishedNoNocustom2026-08-12
CognismNot publishedNoNocustom2026-08-12
Seamless.AINot publishedYesNocustom2026-08-11
Persana AINot publishedNoNousage2026-08-07
Ocean.ioNot publishedNoNocustomNo date on record

$295 is the highest published entry price of the sixteen, and the next one down is $99. That is a threefold gap with nothing in it, and it is the single most useful fact on this page: BuiltWith is not competing on price inside the category, it is charging for a capability the rest of the category does not sell. Store Leads at $75 is the closest thing to a comparator and it covers e-commerce platforms only, so it is a narrower product at a quarter of the price rather than a cheaper version of the same one.

The columns either side of the price are the ones that make this a defensible purchase rather than an expensive one. BuiltWith publishes a rate, sells without a call and runs a free tier, which puts it in the nineteen of twenty-four that a buyer can evaluate alone. Across the full 264-tool directory, 114 publish no rate and 108 require a sales conversation, so paying the highest price in a category to a vendor that will still let you check ten domains for nothing before you decide is a better trade than it looks in the price column alone.

The only near neighbour in this directory, and it fails in the same place for the same reason.

Store Leads sells e-commerce store data with platform, technology and revenue estimates, at $75 a month, verified 12 August 2026, with $35 for each extra user on every tier and 15% off yearly. It carries a free account described as a limited preview and export is a Pro feature, so the cheapest plan that actually produces a list is $250 a month, which is more than three times the entry price its card advertises.

BuiltWithStore Leads
Entry price$295$75
Cheapest plan that exportsNot recorded here$250
Free tierUnlimited single-site lookupsLimited preview
Free tier exports?NoNo
ScopeAny detectable technologyE-commerce merchants only
Verified2026-08-122026-08-12

Neither free tier will let you count your market, which is the question both products exist to answer. Store Leads is at least explicit about where the exporting tier sits. This repo holds no equivalent figure for BuiltWith, so what $295 grants in extractable records is unrecorded here, and asking for it is the first thing on the check below.

One more thing worth carrying over. This site recorded that Store Leads returns a 404 on both its own pricing and plans URLs, with the real table living on a homepage anchor, and that the figure previously held here was $99 rather than the $75 the page shows. Neither vendor in this pair has been reviewed properly, and both records have already needed a correction.

Detection is imperfect and often stale

The entity record's own caveat, and it is the right one.

Technology detection reads what a page exposes. A tag that has been removed but not cleaned up still reads as present, a technology loaded through a tag manager or a server-side integration may not read at all, and neither failure announces itself. That is a coverage question and an accuracy question at once, and this repo holds no figure for either.

This site has written about the wider version of that problem: eleven data vendors publish an accuracy percentage and not one publishes a protocol, which is set out on the cost-per-contact page. BuiltWith is not in that group, because it publishes no accuracy figure that this repo has recorded at all.

The billing basis is unrecorded

The repo holds $295 and no note on which billing toggle it was read on. This site's convention, stated in the Apollo entity comment after a correction on 25 August 2026, is that entryMonthly holds the monthly-billing rate rather than an annual rate quoted per month. Two of this site's August corrections came from exactly that confusion, and separate research recorded two other vendors in this category defaulting to annual billing on their pricing pages. Nobody here has confirmed which state BuiltWith's page was read in. Every annualised figure above inherits that uncertainty and none of it changes the ranking.

Who should buy it

  • You sell something that integrates with or replaces a detectable technology, which is the entity record's own summary and the only motion where technographics is the trigger rather than a filter.
  • Your addressable market is defined by a stack rather than by a firmographic. If you can describe your buyer as anyone running X, this is the tool that finds them and nothing cheaper does the same job.
  • You already have a contact vendor, because this one hands you domains and you will need people at those domains.
  • The list is worth more than 1,966 complete contacts a month, which is what the same money buys at the cheapest dated rate in this repo.

Who is on the wrong tool

What breaks after the first invoice

The subscription rarely fails because the detection was wrong. It fails for three other reasons, and all three arrive after the first invoice.

The segment turns out to be smaller than the pitch. Technographic targeting sounds like a multiplier and behaves like a filter: it takes a total addressable list and removes most of it. If the technology you sell against runs on four thousand companies rather than four hundred thousand, the whole subscription is a one-off list build and the second month is waste. This is why the filter count belongs in an email before the card, and it is the question the pricing page cannot answer.

The tags go stale in the direction that flatters the vendor. A cancelled product often leaves its script in the page, so a stale index over-reports rather than under-reports, and over-reporting is invisible to a buyer who only checks the accounts that came back. Re-run a sample against your own closed-lost list every quarter, because those are the accounts whose real stack you know.

And the list still has no people in it. Month three is usually when somebody notices that the second bill has arrived: a complete contact with an email and a mobile runs from $0.041 at Lead411 to $0.456 at Lusha across this directory's dated records, so a 2,000-company technographic list at three contacts each is 6,000 records, or between $246 and $2,736 on top of the $295 [computed]. Budget both bills at the start or the campaign stalls between them.

Anyone who wants contacts. There are none here at any tier, and the eleven-row price table above is a list of places to get them for less.

Anyone whose trigger is a funding round rather than a stack, where Crunchbase is the shape of tool you want, with the large caveat that this site holds no verified price for it.

And anyone who needs to size the market before committing, because the free tier will not do it and $295 is a steep way to find out that your technology has four hundred users rather than forty thousand.

The check before you pay

  • Ask for a count of companies matching your exact stack filter before you buy. That is the number the purchase turns on and the free tier cannot produce it.
  • Read the billing toggle in both states, since this repo holds one figure and cannot say which basis it sits on.
  • Take ten domains you already know the stack of and check them in the free lookup. Ten is a small sample and it catches the obvious failure, which is a technology loaded in a way detection does not see.
  • Price the contact vendor at the same time. A domain list is half a workflow and the second half runs from four cents a record upward on dated rates.
  • Write down what lift you expect from the stack filter before you see any results, because after you have paid $3,540 a year you will find one.

So should you buy it?

Only if you can say out loud which technology your buyer runs, and only after somebody has told you how many companies run it.

For that buyer this is a good product at a defensible price and there is no cheap substitute, which is exactly why it sits at three times the next entry price in its category. Technology detection at scale is genuinely hard and the free alternatives check one domain at a time.

For everyone else it is the most expensive way in this directory to acquire a list that still has no people in it. The same $295 buys 1,966 contacts with an email and a mobile each at the cheapest dated rate here, and that comparison should be made explicitly rather than avoided because the two products are filed in different categories.

What this page does not know

There is no BuiltWith review on this site and nobody here has run an account. The missing measurement is detection accuracy on a known sample: take 200 domains whose stack you can independently confirm, run them, and count false positives and false negatives separately, because a stale tag and an invisible integration fail in opposite directions and a single accuracy number hides both. BuiltWith publishes no such figure that this repo records, no independent party publishes one, and this page has not run the test because it needs 200 domains with confirmed stacks that nobody here has. Also unknown, and named rather than filled: whether $295 is the monthly-billing rate, what tiers exist above it, how many records or lookups the plan grants, what the overage behaviour is, what the terms say about renewal, and the size of any market segment you might filter for. What to do instead: ask the vendor for a count against your exact filter before you pay, check ten known domains in the free single-site lookup, and write down the lift you expect from a technographic filter before you have any results to rationalise it against.

Questions

How much does BuiltWith cost?
This site's record holds $295 a month, verified 12 August 2026, which annualises to $3,540. That is the highest published entry price of the 17 priced data tools in this directory, and the second highest is UpLead at $99. The repo holds no tier ladder above it, no seat rate and no record allowance.
Is BuiltWith free?
There is a free lookup that is unlimited for individual site checks, one domain at a time, with no export. This site's audit of fifteen free tiers classified that as an allowance that renews but does not export, which is the same category as a demo. It will confirm what a named site runs and it will not tell you how many companies in your market run it, which is the question the purchase turns on.
Does BuiltWith give you contact details?
No, at any tier. It detects technologies on websites, so what you get is domains. You still need a contact vendor to turn those domains into people with email addresses, and this site's dated rates for that run from $0.041 a complete record at Lead411 up to about $0.83 at the top of the range.
Is BuiltWith worth $295 a month?
It depends on a number nobody has measured, which is how much lift a technographic filter gives your conversion rate. The same $295 buys 1,966 contacts with a verified email and a mobile at LeadMagic's published $0.150. If the stack filter makes your list five times more likely to convert, BuiltWith is cheap. If it adds 10%, the contacts win.
How accurate is BuiltWith's detection?
This repo holds no accuracy figure for it, and the entity record's caveat is that detection is imperfect and often stale. The two failure modes run in opposite directions: a removed tag that was never cleaned up reads as present, and a technology loaded through a tag manager or server-side may not read at all. Check ten domains whose stack you already know before you commit.

Tools mentioned

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Sources

Source interests are labelled. Almost everything published about this subject is written by someone selling into it.

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