Technographic data providers for B2B sales intelligence: a comparison

This comparison of technographic data providers is for the B2B sales intelligence or revenue operations lead who has to choose a source and defend the choice. It sets BuiltWith, Wappalyzer, HG Insights, 6sense, ZoomInfo and Fokals side by side on four properties each provider documents about itself: the evidence it reads, the dates a record carries, how the data is delivered and the identifiers it joins on. After it you can shortlist by property and run one test on sample data from every candidate.

Every statement about a provider restates its own pages, read on 7 October 2026 and linked under the table. Where those pages are silent, the page says so, and a provider may document more elsewhere. The page names no winner.

How do technographic data providers for B2B sales intelligence compare?

Technographic data providers for B2B sales intelligence differ on four documented properties: the evidence read, the dates on a record, delivery and the join key. BuiltWith and Wappalyzer document detection on websites. HG Insights, 6sense and ZoomInfo each document several kinds of source. Fokals documents website detection and the tools named in job postings, on one company index.

• Evidence decides which technologies can be seen at all. A website shows the customer-facing stack, and a job posting names the tools a role works with behind it.
• Dates decide whether you can tell a current install from a stale one, and an adoption this month from a tool in place for years.
• Delivery decides where the data can work: an enrichment call from a CRM, a filter inside a product, or a table in a warehouse.
• Identifiers decide the match rate against your accounts, and whether a brand's website reaches the group that owns it.

Scale is left out on purpose: the test below measures coverage on your own list. Firmographic vs technographic data covers how a stack sits beside size and industry.

What BuiltWith, HG Insights, 6sense, Wappalyzer, ZoomInfo and Bombora document about technographic data

BuiltWith and Wappalyzer document technographic data read from websites and returned by domain or URL. HG Insights documents installs identified from a sensor network, public sources and proprietary documents. 6sense and ZoomInfo document website code and job postings among their sources. Bombora's Company Surge page describes intent data, so the table has no row for that product.

The Fokals row follows its public methodology and data dictionary.

The pages each row rests on:

• BuiltWith. Data coverage, the API index, the Domain API and the Lists API.
• Wappalyzer. Its article on identifying the technologies of a website, the Lookup API and the field reference.
• HG Insights. Its answers page, its data fabric page, the API's enrichment guide and the HG Technographic Object of its Salesforce connector.
• 6sense. The technographic data overview, the data packs reference and the API overview.
• ZoomInfo. Its data sources page, its page on data as a service and the Enrich Technologies reference of its API.

Bombora's Company Surge page describes intent data derived from research activity across the B2B web, and we found no statement about technology installs on it. It is the one Bombora page read. Technographic data vs intent data shows how the two kinds combine.

In its Salesforce connector, HG Insights defines its two dates as the first detected install signal and the most recent one. Hold any last-detected date against the review interval the provider documents for that product, and ask for the interval where its pages state none. In Fokals data a first observation sets a baseline and is never counted as a change.

A list of technographic data providers for the B2B tech stack of public and private companies

For the B2B tech stack of public and private companies, the technographic data providers listed here are BuiltWith, Wappalyzer, HG Insights, 6sense, ZoomInfo and Fokals. BuiltWith and Wappalyzer key a record to a website. HG Insights, 6sense and ZoomInfo each document a company identifier of their own. Fokals carries one company ID and security identifiers on listed companies.

BuiltWith takes a domain and Wappalyzer a URL, so the key is the same for a listed company and a private one, and your side of the join is domain matching. HG Insights documents an HG ID and, in its Firmographics dataset, domain mapping that aligns its entities with your account records, with DUNS as an optional linkage identifier. 6sense documents a Master ID for each account, whose identity it derives from country, name and domain. ZoomInfo's Enrich Technologies endpoint takes a ZoomInfo company ID, so ask with the sample how that ID is matched to your accounts.

Fokals covers listed companies worldwide, the brands they own and verified private companies, each on one stable company ID. A listed company carries its ticker, MIC, ISIN, LEI and share-class FIGI. The note on the identifiers that make company data joinable explains which key serves which join.

A list of company technographic data API providers

On the pages read for this comparison, five providers on this list document an API that returns the technologies of a company or website: BuiltWith, Wappalyzer, HG Insights, ZoomInfo and Fokals. 6sense documents its technographic fields in a bulk data pack. The table shows what each documented endpoint takes and returns.

The 6sense API overview names four APIs, for company identification, lead scoring and firmographics, and we found no statement of technology fields on that page. ZoomInfo's page on data as a service names the delivery routes, and its API reference names the fields. API vs bulk files for company data weighs the two routes.

Choosing a tech stack detection API for sales prospecting at scale

A tech stack detection API for sales prospecting at scale is chosen on three points: whether it answers by website or by technology, how many records one request carries, and which dates come back. A lookup endpoint enriches accounts you already hold. A list endpoint, a change feed or a bulk file builds the prospect list itself.

• Lookup or list. Enrichment asks what one account runs, and the BuiltWith Domain API, the Wappalyzer Lookup API, the HG Insights enrichment endpoint and the ZoomInfo Enrich Technologies endpoint answer that. Prospecting asks who runs a tool. The BuiltWith Lists API and Wappalyzer lead lists answer by technology, and a bulk file answers with a filter in your own warehouse.
• Request size. Wappalyzer documents one to ten URLs a request, HG Insights up to 25 companies, and BuiltWith a Bulk Domain API. Divide your account count by the documented batch and your rate limit before you promise a daily refresh.
• Changes as events. A tool that flags recent adopters needs a first date or a dated event. BuiltWith documents a Change API, a live feed of detections and a since parameter on its Lists API. HG Insights documents a first-verified date on an install. Fokals delivers every adoption, removal and platform migration as a dated event in Technology Changes, on a feed that runs oldest first from a time you set.

If the data will sit inside a product you sell, ask every provider which use its quoted terms cover: internal use, embedding in a product or redistribution, the three a Fokals agreement can name. The guide to adding technographic filters to a prospecting tool works through the load.

What to ask technographic data vendors about enterprise accounts

For enterprise accounts, ask technographic data vendors four things: which evidence reaches systems that never face the web, whether an install is counted by location, how a group's brands and subsidiaries roll up to one account, and what a confidence score rests on. Each answer should point to a document you can read.

• Evidence behind the website. An enterprise runs databases, ERP systems and other internal systems that its public website does not show. HG Insights describes surfacing technology used behind the firewall, and its Mentions dataset reads job postings for the topics and skills a company names. 6sense and ZoomInfo both list job postings among their sources. Fokals delivers the tools named in each company's job postings on the same company ID as its website detections.
• Depth inside the account. HG Insights documents an intensity measure and the number of locations within a company where an install is detected.
• Roll-up. One enterprise account is many websites, so ask how the record of a brand or subsidiary reaches the parent. In Fokals data it carries the identifiers of its listed parent: grouping by ISIN gives the listed group, and grouping by company ID keeps each business apart. HG Insights documents a Corporate Hierarchies dataset of parent companies and subsidiaries. See corporate hierarchy.
• Confidence. 6sense documents a confidence score on each technographic data point and names the sources behind each technology in its data pack. BuiltWith's API index lists confidence scores in its Domain API. Where a provider scores an install, ask what moves the score, then check it by hand as below.

The guides to BuiltWith alternatives and HG Insights alternatives take those two providers in depth, as do those for Wappalyzer, 6sense and ZoomInfo.

A test to run on sample data, with a worked example

Ask every candidate for sample data on the same list of your target accounts, with its data dictionary, and take five measures. The ten questions for a company data vendor cover the rest of a review.

1. Match rate. Accounts returned over accounts sent, by the key you sent.
2. Detection rate. Among matched accounts, the share reported as running the technology you care about.
3. Agreement. Accounts both samples report over accounts either reports. The disagreements are the cases to open.
4. Hand check. Open the website or the posting behind 30 detections from each sample and count those you can confirm.
5. Dates. The share of detections that carry a first date, and the share last observed inside your decision window.

The example is illustrative. Acme Robotics is an invented company, and the two samples stand for no named provider.

Assumptions:

• Acme Robotics sells an add-on for one commerce platform and sends 400 target accounts, one domain each, to two providers.
• Sample A returns 320 of the accounts and sample B returns 280.
• Sample A reports the platform on 96 accounts and sample B on 84. Both report it on the same 60.
• A hand check of 30 detections from each sample confirms 27 in A and 24 in B.
• 72 of the 96 detections in A and 63 of the 84 in B were last observed in the past 30 days. Every detection in A carries a first date and none in B does.

Either sample reports 96 plus 84 less the 60 counted twice, which is 120 accounts. Both report 60, so agreement is 60 / 120 = 50%. That leaves 36 accounts reported only by A and 24 only by B.

The two samples show the same detection rate and the same recency, and agree on half of the accounts, so a headline rate would have called them equal. Open the 60 disagreements first. A platform visible on the website and absent from a sample is a question about evidence, and one present in a sample and gone from the website is a question about dates. Sample B cannot rank recent adopters, because an old install and a new one look alike with no first date.

Sample data from Fokals for the accounts you name comes with the data dictionary and the methodology, so each measure can be held against the definition of its field in the marketing stack dataset.

Frequently asked questions

What this page says about the products it names was checked against their public documentation on 7 October 2026. Product and company names are trademarks of their owners. Fokals is not affiliated with them or endorsed by them.