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Website technology scannerBy anvendor·Updated

anvendor vs Wappalyzer

Wappalyzer retrieved 18 of 316 published relationships; anvendor 123. See actual domain examples, collection scope and where each method helps.

10 company lookups · 316 published relationships

Published relationships found

anvendor

38.9%123 / 316 found

Wappalyzer

5.7%18 / 316 found

120

anvendor only

3

Both found

15

Wappalyzer only

Ten official website lookups, rather than every Wappalyzer product or a full back-office inventory. BuiltWith’s three Stripe matches are not included in Wappalyzer’s score. Positive-reference recall, not precision; references can be old. A missing result does not prove non-use.

Features & integration access

FeatureWappalyzeranvendor
API

Yes · website technology

Lookups, lead lists and subdomains; live scanning is available.

Official source ↗

Yes · REST API

Company analysis, service checks and customer discovery.

Official source ↗
MCP

Yes · official server

Business plan; website lookup, subdomains and credit balance.

Official source ↗

Yes · official server

Connect AI clients to the same analysis, discovery and scan operations.

Official source ↗
Usage depth

Website footprint

Visible technologies and website metadata, rather than employee adoption.

Official source ↗

Estimated employee adoption

Where available; use signals do not verify paid seats.

Spend

No comparable figure collected

The saved lookup did not supply a company’s annual SaaS spend range.

Estimated annual SaaS ranges

Published plans with estimated usage or size; USD, not invoices.

API/MCP availability describes documented products, not benchmarked results. Access and datasets may depend on the plan. On narrow screens, scroll the table sideways.

Methodology, tested services & customer references

Companies checked: Atlassian (atlassian.com), Canva (canva.com), Shopify (shopify.com), Okta (okta.com), HubSpot (hubspot.com), Databricks (databricks.com), OpenAI (openai.com), Ramp (ramp.com), Stripe (stripe.com) and Airbnb (airbnb.com). We selected well-known technology companies often named in customer references, with roughly fewer than 15,000 staff and matching website and corporate domains. This is a selected sample, not a representative market survey.

The starting point: vendors’ own customer logos and case studies. A company logo, customer story or testimonial published by a service vendor supplied a reference pair: for example, Stripe named by BrowserStack becomes stripe.com × BrowserStack. We then checked whether each collected tool result named that vendor or a matching product.

The reference set contains 316 relationships from 207 vendors: 175 involving vendors in anvendor's catalogue, reviewed individually, plus 141 involving additional vendors. For the additional group, a named product belonging to the vendor counted. Three SendGrid references duplicated Twilio relationships and were excluded.

What the percentages mean. On competitor pages, found ÷ published reference pairs is positive-reference recall. There are no verified negatives, so this does not measure precision. References may be old, describe one team or favour prominent companies. The catalogue subset favours anvendor's coverage; the added vendors came from collected tool lists, so vendors no method reported are omitted. We build anvendor and did not independently verify paid contracts. Missing evidence does not establish non-use.

A separate category analysis: the visibility infographic starts with 714 anvendor findings across 266 distinct services at those ten companies, rather than the 316 published reference pairs. Each finding is classified by service category and checked for traces in website/DNS/infrastructure results, job signals, both or neither. Its percentages are shares of anvendor findings, not retrieval accuracy. BuiltWith covers Stripe only, Sumble its Tech Stack tabs; the collected surfaces do not represent every competitor's full product.

Pricing: 20 selected GitHub estimates use published plans and estimated usage or company size. Vendr's saved GitHub benchmark covers 984 purchases from a different population. The interval overlap provides context; no named company's invoice was checked. Results were saved at different times, rather than collected simultaneously.

Download all 316 reference pairs and source links (CSV)

All 207 tested reference vendors

Each name links to a vendor-published reference page. The CSV maps every company-service pair to its source; this list describes the reference set, not anvendor's entire catalogue or all technologies returned by competitors.

Wappalyzer identifies what a public website runs. anvendor identifies the SaaS and business services a company uses, including software behind a login. Both offer live checks, so the useful distinction is what they can observe.

What each tool sees

Wappalyzer's browser extension and technology lookup are useful for a site's CMS, analytics, ad tags and infrastructure. More than a third of its software entries in our sample were website and advertising technology, and almost a third were languages and frameworks. anvendor covers internal services and estimates how widely they are used; it does not replace an in-browser website inspection.

 Wappalyzeranvendor
What it observesTechnology fingerprints on public websitesCompany-service evidence found through live scans
SaaS behind a loginOnly when a detectable signal is exposed publiclyCoverage includes CRM, HR, design, documents, ticketing, code hosting and storage
Depth inside a companyTechnology presence; no staff adoption estimate in the lookupEstimated adoption to help assess the scope of use
Spend figureNo company-service spend range in the reviewed lookupsEstimated annual spend ranges from sourced plans and estimated usage; estimated rates labeled
Runs tool → companiesYes — technology-filtered lead listsYes — find companies with evidence of using a competitor
Best atWebsite stack identification in a browser or through an APISaaS prospecting beyond website visibility, with live checks on demand

Ten companies, two different views

Wappalyzer's own lookups returned 628 technologies across ten domains and retrieved 18 of the 316 vendor-published relationships. anvendor returned 714 services and retrieved 123. Three relationships were shared; together the two methods retrieved 138. Website libraries are outside anvendor's purpose, so these counts do not measure a complete stack.

On real company domains

 Wappalyzeranvendor
canva.com · DocuSignFoundFound
stripe.com · BrowserStackNot foundFound
atlassian.com · SentryFoundNot found

“Found” means the collected result named that vendor or a matching product. “Not found” means it was absent from that result, not that the company does not use it.

Published customer references: canva.com · DocuSign; stripe.com · BrowserStack; atlassian.com · Sentry. These references supply the yardstick; the table reports our saved tool results.

At stripe.com, Wappalyzer listed 55 technologies and anvendor 67 services. Across the full study, adding BuiltWith's Stripe result raises the combined website-method total to 21 published relationships. That combined number is not Wappalyzer's result alone.

How to read the results

We compared Atlassian, Canva, Shopify, Okta, HubSpot, Databricks, OpenAI, Ramp, Stripe and Airbnb against 316 customer relationships published by 207 vendors. Of these, 175 involve vendors in anvendor's catalogue and 141 involve vendors outside it. We reviewed matches individually for the first group; in the second, a named product of the vendor counted.

This measures how many published relationships each method retrieves, not precision or the complete stack. Customer references can be old, favour well-known companies and omit vendors none of the methods reported. We build anvendor; its detections were not independently verified as paid contracts. See the methodology, tested services and published reference links.

Which to use

  • Wappalyzer: immediate website inspection and front-end technology prospecting.
  • anvendor: back-office SaaS research and competitor prospecting beyond website visibility.

Competitor use can signal a need in the category and help your team qualify a lead. It does not establish budget, dissatisfaction or intent to switch. Check the account against your ideal customer profile and identify a reason to reconsider before outreach. Spend ranges are estimates, not invoices or guaranteed deal sizes.

anvendor may reuse recent findings. Results less than 30 days old are treated as fresh; an already purchased result can be reopened without another charge. Choose Refresh to request a new paid live scan. Empty or failed checks return their credits.

Frequently asked questions

Is anvendor a Wappalyzer alternative?

anvendor is an option for researching a company's services or finding likely users of a competitor. Wappalyzer is the relevant choice when you need to identify the technology on a public website. Check each product against the services and companies you want to research.

Does anvendor have a browser extension?

No. anvendor uses no browser extension, SDK or tracking script, and none of its data comes from watching what anyone does online. Results are delivered in the app, with CSV, Excel and PDF export.

Does anvendor have an API?

Yes: a REST API and an MCP server for AI assistants. Create API keys in your account, each limited to some methods, a credit budget and an expiry date, or connect claude.ai, ChatGPT or another assistant by signing in and approving it. Results also come with a full search history on your account and CSV, Excel and PDF export.

Suggest a correction · Sources and estimate limitations

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