Technographic data providers, compared by what their detection method can see

This page is for sellers, marketers and RevOps teams who want to find companies by the software they use: to displace a competitor, sell an add-on to a platform's users, or time outreach to a migration. It compares 11 providers by detection method, price and evidence, using each vendor's own pages. If you want the definition first, see technographics explained.

How we compared

Blackpearl Group, which makes Bebop, wrote this page. Bebop Insights, our data product, appears once in the table as one option. Our rules:

• Selection. Providers named in the top search results for "technographic data providers" on 26 October 2026, plus the contact databases most often used for technology filters. We grouped them by how they collect data, because that decides what they can find.
• Facts. Prices, plans and methods come from each vendor's own pricing page, documentation or FAQ, read on 26 October 2026. Where a vendor publishes no prices, we say "quote only". Coverage figures are the vendors' own claims.
• No hands-on scores. We haven't benchmarked these providers against each other. The precision and recall test below is how to measure them on accounts you know.

Four ways providers detect technology

TheirStack's documentation states the limit of its own method plainly: "A technology that is not mentioned is not a technology that is absent." The same applies to every method. A blank means "not detected", not "not used".

Providers at a glance

Published plans from each vendor's own page on 26 October 2026, in US dollars before tax.

Three details change the real cost:

• Minimum terms. BuiltWith's minimum term is one month on monthly plans and one year on yearly plans, and it suggests buying Basic for a one-off report and then cancelling. HG Insights' standard contract is two years; a one-year term costs more, and quarterly billing carries a premium.
• How credits are spent. TheirStack charges one company credit to reveal or export a company, then lets you view it free for 90 days; paid credits roll over for 12 months. HG Insights charges 0.1 intelligence credits for a company's firmographics and 3 credits for one buyer intent data point, and rolls over up to 20% of unused monthly credits.
• API credit expiry. Wappalyzer's plan-included API credits expire after 60 days; credits bought in bundles last 365 days.

Worked example: finding banks by technology

Illustrative example. The firm, its targets and the detection results are invented. The bank count is real, and prices are list prices published on 26 October 2026.

The firm: Fenwick Digital (fenwick.example) is two partners who rebuild community bank websites and online account opening. They have two questions about the same market: which banks run the website platform they replace, and which banks run the core processing system their account-opening integration supports.

The market: the FDIC's BankFind listed 142 active Texas institutions with $500 million to $5 billion in assets on 26 October 2026, and every record included the bank's web address. That gives Fenwick a clean list of 142 domains at no cost.

Question 1: the website platform. A content management system shows up in a site's code, so a website scanner is the right method.

• Wappalyzer's free tier gives 50 lookups a month, so the 142 domains take three months (50 + 50 + 42) at no cost. Or one month of Pro at $250 does it at once: $250 ÷ 142 = $1.76 per bank checked.
• Suppose the scan returns a platform for 131 banks, and 38 run the one Fenwick replaces. Cost per qualified bank on Pro: $250 ÷ 38 = $6.58.

Question 2: the core system. A bank's core processing system doesn't appear on its public website, so a web scan can't answer this. Job postings can, when banks hire for it.

• TheirStack's 1,000-credit pack costs $109 one-time and checking 142 banks uses 142 credits, so the same pack covers six more lists like this one: $109 ÷ 142 = $0.77 per bank checked for this list alone.
• Suppose 31 banks have postings that name any core system, and 19 name the one Fenwick supports. Cost per identified bank: $109 ÷ 19 = $5.74.
• The other 111 banks aren't "not using it". They're unknown. For those, Fenwick needs a blended provider (quote only), a question on the first call, or research into each bank's announcements.

What the example shows: the cheaper method was also the right one for question 1, and no single provider answered both questions. Matching the method to the technology mattered more than the price.

Check the evidence before you trust a list

Ask these questions of any provider, and of every list you buy:

• When was it detected? Look for first-seen and last-seen dates. TheirStack shows both for every technology; a website scan should tell you when the page was last crawled.
• Can you see the evidence? TheirStack links each technology to the job postings that mention it, with a confidence score of low, medium or high.
• What does a blank mean? Not detected is not the same as not used.
• Is it a domain or a company? Website scanners report domains. A company with several brands or a holding company structure can appear as several records, or under the wrong parent.
• How often is it refreshed? BuiltWith and SalesIntel say weekly. Ask the others.
• Does it include contact names? BuiltWith exports names, emails and titles of people publicly listed with businesses "within GDPR restrictions". Contact data brings privacy obligations that company-level technology data mostly doesn't.

Which provider fits your question

Change beats presence

A technology a company has run for six years tells you who to exclude or which integration to mention. A technology that appeared or disappeared in the last 90 days tells you something is happening, and that's a reason to call now. Three ways to use the dates providers give you:

• New detections. A first-seen date in the last quarter suggests a project in progress: the team is still configuring, hiring and buying around it.
• Removals. A last-seen date that stopped updating, or a website scan that no longer finds a tool, can mean a replacement is underway.
• Hiring spikes. Several new postings naming the same system in a few weeks often signal a migration or an expansion.

Combine the signal with firmographics before you act: in Fenwick's case, a new detection matters only at a bank inside its asset band.

For the hands-on steps (lookup, list building and outreach angles), see how to find companies that use a technology.

Run a two-week precision and recall test

1. Days 1 and 2: build a truth set. Pick 20 accounts whose use of your target technology you know for certain: customers, implementations you've seen, or companies that told you on a call. Include some that definitely don't use it.
2. Days 3 to 6: run every provider on the same 20. Use free tiers or one paid month. Record what each says, with its date and evidence.
3. Days 7 and 8: count. True positives (flagged and right), false positives (flagged but wrong) and false negatives (missed).
4. Day 9: calculate. Precision = true positives ÷ everything flagged. Recall = true positives ÷ everything that truly uses it. Example: 14 of your 20 accounts use the tool; a provider flags 12, of which 10 are right. Precision = 10 ÷ 12 = 83%; recall = 10 ÷ 14 = 71%.
5. Days 10 to 14: check freshness. For each false positive, look for evidence the company stopped using the tool. Old detections are the most common cause of wasted outreach.

Pick the provider with the precision you need for outreach (wrong guesses embarrass you in an email) and the recall you need for market sizing (misses shrink your market).

Provider and plan:                       Date:
Technology tested:
Detection method: [website scan / job postings / blended / contact database]

TRUTH SET: ___ accounts (___ use it, ___ don't)

RESULTS
Flagged: ___   True positives: ___   False positives: ___   Missed: ___
Precision = ___ ÷ ___ = ___%
Recall = ___ ÷ ___ = ___%
Detections older than 12 months: ___
Evidence shown (date, source, confidence): [yes / partly / no]

Cost for this test: $___   Cost per true positive: $___

Use it for: [outreach lists / market sizing / neither], because:

Next step: once you have a list, turn it into contacts and an opening line with how to find companies that use a technology.