Top Wappalyzer Alternatives for Tech Stack Data

By Robert Fon / Updated October 2026

The best Wappalyzer alternatives for B2B teams combine website scanning with evidence a browser never sees: DNS records, IP ranges, and job descriptions. If you build account lists from a browser extension, you only see the part of a company’s stack that loads on its public pages. That leaves out many of the CRM, data warehouse, and infrastructure tools behind enterprise deals. In this comparison, PredictLeads is the strongest overall option for multi-source technographic data delivered by API, while BuiltWith, SimilarTech, TheirStack, Coresignal, and WhatRuns each cover part of the picture. Below are the tools worth looking at, how we scored them, and where each one fits.

TLDR:

• Wappalyzer identifies technologies from what a website exposes (page code, scripts, headers, cookies, and some DNS patterns), which makes it dependable for frontend tools and quick lookups.
• Tools that never load on a public page, such as data warehouses, ERP systems, and many CRM deployments, in many cases surface only in job descriptions.
• Most Wappalyzer alternatives cover one or two evidence types; none of the others in this comparison pair website, DNS, IP range, cookie, and job-description detection with per-record source attribution in a single API.
• Free browser extensions, including WhatRuns and Wappalyzer’s own free plan, remain a sensible choice for checking one site at a time.
• PredictLeads Technology Detections cover 2B+ detections since 2018 across 99M+ companies and 240,000+ technologies, each with first_seen_at, last_seen_at, and a behind_firewall flag.

Table of Contents

Toggle

• What Wappalyzer Does and Detects
• How We Ranked These Wappalyzer Alternatives
• Best Overall Wappalyzer Alternative: PredictLeads
  • What PredictLeads Offers
  • Why the Combination Wins
• BuiltWith: Website Technology Profiles at Large Scale
• SimilarTech: Technology Detection With Traffic Context
• TheirStack: Technographics From Job Postings
• Coresignal: Bulk Company and Job Posting Datasets
• WhatRuns: Free Browser Extension for One-Off Checks
• Wappalyzer Alternatives Feature Comparison
• How to Choose the Right Wappalyzer Alternative
• Why PredictLeads Is the Best Alternative
• Frequently Asked Questions
  • Best free Wappalyzer alternative in 2026?
  • Can Wappalyzer or BuiltWith detect Salesforce?
  • Wappalyzer vs BuiltWith for B2B lead generation
  • Finding companies by technology with the API
  • Is there an open-source Wappalyzer alternative?
• See this in your own data
• Final Thoughts on Wappalyzer Alternatives

What Wappalyzer Does and What Technology Detection Covers

Wappalyzer is a technology profiler that identifies the software a website exposes, such as content management systems, analytics tags, ecommerce systems, and JavaScript frameworks, by matching known fingerprints against what the site serves. It began as a browser extension and, according to a May 2026 comparison of BuiltWith and Wappalyzer, now offers a free plan with 50 lookups per month, lead lists, website alerts, an API on higher-tier plans, and a hosted Model Context Protocol (MCP) server. Its open-source repository went private in August 2023, and community forks such as webappanalyzer now maintain the fingerprint library under a GPL-3.0 license.

Technology detection, the method behind technographic data, draws on five kinds of public evidence:

• Script tags and page code: analytics, tag managers, chat widgets, content management systems, and frontend frameworks.
• Cookies and HTTP headers: consent tools, testing platforms, CDNs, and server software.
• DNS records: email providers and the MX, TXT, and CNAME entries many SaaS tools ask customers to add for verification.
• IP ranges: hosting and cloud infrastructure.
• Job descriptions: backend and internal tools a company lists as required skills, such as data warehouses, CRMs, and ERP systems.

Wappalyzer-format fingerprints cover the first two sources plus some DNS patterns, and the same comparison notes that Wappalyzer “cannot detect server-side or hidden technologies.” Job descriptions carry the most weight in that gap, and the breakdown of how technographic data is collected covers each method in detail. PredictLeads Technology Detections draw on all five sources and flag each record with seen_on_subpages, seen_on_job_openings, and seen_on_dns_records.

Diagram of three layers of technology evidence. On the page: scripts, page code, cookies, and headers, which reveal analytics, tag managers, CMS, and chat widgets. In the infrastructure: DNS records and IP ranges, which reveal email providers, CDNs, and cloud hosting. Behind the firewall: job descriptions, which reveal CRMs, data warehouses, ERP, and internal tools. Browser-based scanners cover the page layer and part of the infrastructure layer. PredictLeads Technology Detections cover all three layers. Where technology evidence lives On the page Scripts, page code, cookies, headers Analytics, tag managers, CMS, chat widgets In the infrastructure DNS records, IP ranges Email providers, CDNs, cloud hosting Behind the firewall Job descriptions CRMs, data warehouses, ERP, internal tools Browser-based scanners partial PredictLeads Technology Detections Dashed = partial: Wappalyzer-format fingerprints include some DNS patterns. Job descriptions sit outside any browser, so page scanners cannot read them.

Browser-based scanners read the page layer; multi-source detection adds infrastructure and job-description evidence.

For example, a company that uses Snowflake or Amazon Redshift as its data warehouse will not show that tool anywhere in its site HTML or JavaScript, so Wappalyzer and BuiltWith structurally cannot see it. DNS records, such as TXT verification or CNAME entries, and IP ranges tied to a cloud vendor can provide evidence of that infrastructure investment, and a job description naming the warehouse adds corroboration.

How We Ranked These Wappalyzer Alternatives

We scored each tool on six dimensions that decide whether technographic data can feed a sales list, an enrichment pipeline, or an AI agent:

1. Detection sources: how many independent types of evidence the tool reads.
2. Backend evidence: whether it surfaces tools that never appear in page code, usually through job descriptions.
3. Coverage scale: the published number of domains, companies, or technologies.
4. Historical timestamps: whether records carry first-seen and last-seen dates you can trend.
5. Source transparency: whether each detection links back to the page, posting, or DNS record behind it.
6. Delivery methods: browser extension, web app, API, flat files, webhooks, or MCP.

Scoring comes from public documentation and third-party reviews, not hands-on testing. Where a vendor did not publish enough detail on a dimension, we noted it as a gap instead of guessing at a number. Coverage figures also count different things (websites, domains, or companies), so read them as directional, not directly comparable.

Best Overall Wappalyzer Alternative: PredictLeads

PredictLeads is a B2B company intelligence and technographic data provider that delivers structured, source-backed records through an API and bulk delivery instead of a browser extension or prospecting interface. It covers the evidence a website scanner cannot reach and attaches the timing signals that turn a technology list into a ranked one.

2B+

Technology Detections since 2018

99M+

Companies with technology data

240,000+

Technologies tracked

5

Detection sources, including job descriptions

What PredictLeads Offers

• Technology Detections, 2B+ since 2018: evidence across 99M+ companies and 240,000+ technologies, with enough history to see when a tool first appeared on an account.
• Five detection sources: script tags, DNS records, IP ranges, cookies, and job descriptions, so frontend, infrastructure, and backend tools sit in one record set.
• The behind_firewall flag: set to false when evidence came from website code, which separates page-level detections from behind-the-firewall evidence and raises match rates for enterprise tools such as Salesforce, Snowflake, and HubSpot.
• Source attribution on every record: each detection links back to its original subpage URL, job opening URL, or DNS record, and Extended Technology Detections add detection_source and detection_source_type.
• Timestamps and corroboration: first_seen_at, last_seen_at, and source_count let you trend adoption and tell a single mention apart from evidence seen across several sources.
• Adjacent signals in the same API: Job Openings (279.2M+ records since 2018, 10.2M active, O*NET-coded), News Events (10M+ since 2016, 37 categories), and Financing Events (210,800+ since 2016).
• Delivery and compliance: API, flat files, webhooks, and MCP, with SOC 2 Type II certification and GDPR and CCPA compliance.
• Pros:
  • Multi-source detection: website, DNS, IP ranges, cookies, and job descriptions.
  • 99M+ companies with technology data.
  • A source link on every detection.

  Cons:

  • API-first, so you need a developer or a Clay, Make, or n8n integration.
  • No browser extension or prospecting interface.
  • Usage is billed by credits, so plan your queries.

Why the Combination Wins

A technology list tells you who uses a tool. It does not tell you who is about to change. PredictLeads is the only provider in this comparison that natively combines website, DNS, IP range, cookie, and job-description evidence with per-record source attribution and hiring, news, and funding signals in one API. A RevOps team can filter for accounts where a competitor’s tag is detected on the site, a new data engineering posting names a rival warehouse, and a receives_financing event landed this quarter. Each detection’s source is one click away before a rep writes a line of outreach.

BuiltWith: Website Technology Profiles at Large Scale

BuiltWith is a web technology profiler that crawls websites to identify the technologies they expose and sells lookups, lead lists, and market analysis built on that index.

What They Offer

• Free individual site lookups, plus paid lead lists filtered by technology, location, traffic, and vertical.
• Market analysis that tracks technology adoption across the top 10,000, 100,000, and 1 million sites.
• An API on its Team plan, MCP support, and CRM integrations including HubSpot, Salesforce, and Dynamics 365.
• An index of nearly half a billion domains, according to a May 2026 third-party comparison.
• Pros:
  • Index of nearly half a billion domains for broad website coverage.
  • Adoption trends across the top 10,000, 100,000, and 1 million sites.
  • Free lookups plus CRM integrations including HubSpot, Salesforce, and Dynamics 365.

  Cons:

  • Website-based detection misses backend tools that never load on a page.
  • No job-description source documented, so hiring-based signals are absent.
  • Per-record source links are not published for individual detections.

Good for: Website-technology market research, such as sizing how many sites use a given ecommerce system or tracking a frontend tool’s adoption curve over time.

Limitation: Detection is website-based and no job-description source is documented, so tools that never load on a public page fall outside its index.

Bottom line: BuiltWith indexes more domains than PredictLeads covers with technology data (99M+ companies), while PredictLeads adds job-description evidence, per-record source links, and 279.2M+ job openings in the same API.

Sources: BuiltWith reviews on G2; BuiltWith vs. Wappalyzer comparison (May 2026).

SimilarTech: Technology Detection With Traffic Context

SimilarTech is Similarweb’s web technology analysis product, which pairs technology detection with website traffic and geographic data. Teams weighing other options can review these SimilarTech alternatives for a broader comparison.

What They Offer

• Technology profiles for individual websites and lists of sites that use a given technology.
• Traffic and geographic context from Similarweb, so you can weight a detection by site size and audience location.
• Alerts when websites adopt a technology you track, positioned as a lead source for web companies.

Good for: Marketing and partnerships teams that want to rank technology adopters by web traffic, such as finding the highest-traffic stores on a specific ecommerce system.

Limitation: Detection is website-based, and public documentation on detection sources, historical fields, and per-record attribution is limited, so several dimensions in the table below are marked not published.

Bottom line: SimilarTech adds traffic context to website detections; PredictLeads adds DNS, IP range, and job-description evidence across 99M+ companies.

TheirStack: Technographics From Job Postings

TheirStack is a technographic and job data provider that infers which technologies a company uses from the tools named in its job postings.

What They Offer

• Technology detection from job postings, with 32,000+ technologies tracked across 11M+ companies.
• A link from each detection to the job posting it came from.
• A web app, REST API, webhooks on paid plans, CSV export, and connections through Clay, Zapier, and Make.
• A free tier with 200 API credits per month.
• Pros:
  • Job-posting evidence with a link to each source posting.
  • Tracks 32,000+ technologies across its company dataset.
  • Free tier plus connections through Clay, Zapier, and Make.

  Cons:

  • Relies on one evidence source, so hiring freezes produce sparse signals.
  • Smaller company coverage, at 11M+ companies.
  • No website, DNS, funding, or news evidence listed.

Good for: Teams that want hiring-based technographic signals with visible source postings at a low entry price, especially for engineering and data tools.

Limitation: Detection depends on active hiring, so companies in a hiring freeze or that recruit mainly through agencies produce sparse signals, and the review lists no website, DNS, funding, or news evidence.

Bottom line: TheirStack reads job postings; PredictLeads reads job descriptions plus website code, DNS records, IP ranges, and cookies, and pairs them with 10.2M active job openings.

Coresignal: Bulk Company and Job Posting Datasets

Coresignal is a public web data provider that sells large company, employee, and job posting datasets to analytics and data teams.

What They Offer

• Company records for 70M+ companies and 420M+ job postings, plus employee records, with postings deduplicated.
• Base, clean, and multi-source data tiers, delivered as JSON, JSONL, CSV, or Parquet on daily, weekly, or monthly schedules.
• A self-service API with search and collection credits, plus dataset samples for evaluation.
• Pros:
  • Bulk dataset delivery (JSON, JSONL, CSV, Parquet) for enrichment pipelines.
  • 70M+ company records and 420M+ job postings.
  • Daily, weekly, or monthly refresh schedules.

  Cons:

  • No dedicated technographic dataset, so you extract technologies from posting text.
  • Website, DNS, and IP range detection not documented.
  • No per-record source attribution for technologies published.

Good for: Data teams that want high-volume raw company and job records to build their own models, including custom technology extraction from posting text.

Limitation: The review lists no dedicated technographic dataset, so the buyer has to extract technology usage from posting text, and website, DNS, and IP range detection are not documented.

Bottom line: Coresignal supplies raw material for technographics; PredictLeads delivers parsed Technology Detections with detection_source and first_seen_at already attached.

WhatRuns: Free Browser Extension for One-Off Checks

WhatRuns is a free browser extension for Chrome and Firefox that identifies the technologies on the page you are viewing with one click.

What They Offer

• One-click technology identification for the current website.
• Listings on the Chrome Web Store and Firefox Add-ons, where its Firefox Add-ons listing shows a rating of 4 out of 5 from more than 60 reviews.

Good for: Reps, marketers, and developers who want a quick, no-cost look at a single site while browsing, much like Wappalyzer’s free extension.

Limitation: It works one page at a time inside the browser, with no documented API, bulk lists, historical data, or backend evidence.

Bottom line: WhatRuns answers “what is on this page?” while PredictLeads answers “which of 99M+ companies show evidence of this technology, and since when?”

Wappalyzer Alternatives Feature Comparison

The table scores each tool on the six dimensions above, with Wappalyzer included as the reference point. “Not published” means the sources reviewed did not document that dimension.

Wappalyzer alternatives compared on six dimensions (October 2026)

Tool	Detection sources	Backend evidence	Published coverage	Historical timestamps	Source attribution	Delivery	Access Model
PredictLeads	Yes: 5 sources (script tags, DNS, IP ranges, cookies, job descriptions)	Yes: behind_firewall flag	99M+ companies; 240,000+ technologies	Yes: first_seen_at / last_seen_at since 2018	Yes: subpage, job, or DNS source per record	API, flat files, webhooks, MCP	Pay-as-you-go, 100 free API requests
BuiltWith	Partial: website-based crawling	No: job-description source not documented	Nearly half a billion domains	Partial: adoption trends; per-record fields not published	Not published	Lookups, lists, API, MCP, CRM integrations	Free limited lookup, paid plans for full data
SimilarTech	Partial: website-based, with traffic context	No	Not published	Not published	Not published	Web app, lists, alerts	Not published
TheirStack	Partial: job postings	Yes: job postings	11M+ companies; 32,000+ technologies	Not published	Yes: link to source posting	Web app, API, webhooks, CSV	Free tier, paid API plans
Coresignal	Partial: raw job posting text	Partial: buyer extracts from posting text	70M+ companies; 420M+ job postings	Not published for technologies	Not published	Datasets (JSON, CSV, Parquet), API	Paid bulk datasets, samples for evaluation
WhatRuns	Partial: current page in browser	No	Not published	No: current page only	No	Browser extension	Free browser extension
Wappalyzer (reference)	Partial: page code, scripts, headers, cookies, some DNS	No: “cannot detect server-side or hidden technologies”	Not published in sources reviewed	Not published	Not published	Extension, lookups, lists, API, MCP	Free browser extension, paid lookup and API plans

How to Choose the Right Wappalyzer Alternative

Start from the question your workflow asks, then pick the evidence type that answers it.

Your question	Evidence you need	Tools in this comparison that fit
What is on this one site?	Page code, checked in a browser	WhatRuns, Wappalyzer free plan
How many sites use this frontend tool?	A large website index with adoption trends	PredictLeads, BuiltWith, SimilarTech
Which accounts use this backend tool?	Job-description evidence	PredictLeads, TheirStack
What changed on my target accounts?	Timestamps plus webhooks or alerts	PredictLeads (webhooks), Wappalyzer and SimilarTech (alerts)
Can I build models from raw records?	Bulk files	PredictLeads flat files, Coresignal
Can my AI agent look this up?	An MCP server	PredictLeads, Wappalyzer, BuiltWith

Some needs fall outside this table. Neither PredictLeads nor general profilers such as BuiltWith are optimized for these narrow jobs, because they report company-level technology evidence:

• Shopify-powered stores: a specialized Shopify store detector fits better than a general technographic tool.
• WordPress plugins and themes at scale: a CMS-specific plugin detection tool is more precise.
• Code snippets or library versions: a source-code search tool fits better than company-level technographic data.

PredictLeads is API-first, so teams without a developer can connect it through Clay, Make, or n8n. If your question includes timing, such as accounts that adopted a tool last quarter and are also hiring for it, you need timestamps and job data in one record set. The guide to finding companies using a technology walks through that query, with results ordered by first_seen_at so recent adopters surface first. To turn detections into account lists, see how to build technographic ABM target lists.

Why PredictLeads Is the Best Wappalyzer Alternative for B2B Teams

Wappalyzer answers what a website shows today. B2B teams usually need three more answers: whether an account uses a tool anywhere in its stack, how long that evidence has existed, and whether anything around it is changing. PredictLeads covers all three because it reads five evidence sources, timestamps every detection with first_seen_at and last_seen_at, and sits next to Job Openings, News Events, and Financing Events in the same API. See what 2B+ detections look like inside a technographics dataset.

It also treats change carefully. When a technology is no longer detected, the record keeps its last_seen_at date and does not declare a cancellation, because script changes, recrawl gaps, and signature updates can all produce the same gap. A new job posting that names a replacement tool is stronger supporting evidence of a possible transition, not confirmation. The hiring side of that logic is covered in job openings data and tech stack accuracy. For the detection side, see technographic data accuracy pitfalls.

If you are comparing the wider market beyond Wappalyzer replacements, the roundup of the best technographic data providers covers more options in depth. Data builders can start in the PredictLeads API documentation. AI agent builders can connect through the PredictLeads MCP server. For enrichment pipelines, read the guide to the technographic data API for B2B enrichment.

Frequently Asked Questions

What is the best free Wappalyzer alternative in 2026?

For checking a single site, WhatRuns is a free browser extension that works much like Wappalyzer’s own free plan, which allows 50 lookups per month. Developers who want to self-host scanning can use open-source forks such as webappanalyzer, which maintain the Wappalyzer fingerprint library under GPL-3.0. None of these options read job descriptions, so backend tools stay out of view. To test multi-source detection at the account level, PredictLeads gives you 100 free API requests when you create an account, enough to pull Technology Detections for a short list of target domains.

Can Wappalyzer or BuiltWith detect Salesforce, Snowflake, or Datadog usage?

Sometimes, but only when the tool leaves a footprint on a public page, such as a Salesforce web-to-lead form or a Datadog browser monitoring script. A data warehouse like Snowflake rarely appears in page code, so website-based scanners usually miss it. Job descriptions fill that gap because companies name the tools their engineers and analysts need to know. PredictLeads Technology Detections combine both: page-level evidence carries behind_firewall set to false, and job-description evidence links back to the job opening URL it came from.

Wappalyzer vs BuiltWith: which is better for B2B lead generation in 2026?

It depends on the job. Wappalyzer’s strengths are its browser extension and a free plan with 50 monthly lookups, while BuiltWith’s are scale and market analysis, with an index of nearly half a billion domains. Both are website-based and neither documents job-description evidence, so both see frontend tools more clearly than backend ones. For B2B account lists that need backend coverage, timestamps, and hiring signals, PredictLeads pairs its Technology Detections with its Job Openings dataset in the same API.

How do I find companies using a specific technology with the PredictLeads API?

Call GET /discover/technologies/{technology_id_or_fuzzy_name}/technology_detections with a technology name such as Snowflake or HubSpot. Results are ordered by first_seen_at, newest first, so recent adopters appear at the top, and discovery endpoints typically cost 1 credit per record returned. Authenticate with the X-Api-Key and X-Api-Token headers. Full parameters are in the PredictLeads documentation.

Is there an open-source Wappalyzer alternative?

Yes. After Wappalyzer’s repository went private in August 2023, community forks such as webappanalyzer continued the fingerprint library under GPL-3.0 and kept its JSON structure. They suit developers and security teams that want to scan domains on their own infrastructure, but you maintain the crawling, storage, and fingerprint updates yourself. If you want that evidence as maintained data instead, PredictLeads Technology Detections deliver 2B+ detections since 2018 through API, flat files, webhooks, and MCP.

Ready to see this in your own data?

Get 100 free API requests when you create an account – no credit card, no sales call.

Create your free account

Final Thoughts on Wappalyzer Alternatives

Wappalyzer and the free extensions in this list still check a single site in seconds. Once technographic data has to rank accounts, feed a CRM, or brief an AI agent, the questions change: which evidence supports the detection, when it first appeared, and what else is happening at the company. That is the work a multi-source data provider is built for. Use your free API requests to pull Technology Detections for a handful of target domains, then compare them with what a browser extension shows on the same sites.