Best BuiltWith Alternatives in 2026

By Robert Fon / October 21, 2026

If your team still builds account lists by checking one website at a time in BuiltWith, you are prospecting from only the slice of a company’s stack that its site exposes. The best BuiltWith alternatives add evidence a website never shows, such as job descriptions that name internal tools, and pair it with hiring, funding, and news signals delivered through an API, flat files, or webhooks your systems can read. PredictLeads is the strongest option in this comparison for B2B teams that need that combination, while Wappalyzer, SimilarTech, HG Insights, TheirStack, and Coresignal each fit narrower jobs. Below, all six are scored on the same six criteria.

TLDR:

• BuiltWith profiles what a website exposes (page code, headers, and DNS records), so tools with no web footprint, such as many CRM, data warehouse, and ERP products, can go unseen.
• A strong BuiltWith alternative combines several evidence types, including job descriptions, and timestamps each detection so you can track adoption and change.
• Most tools in this comparison cover one or two evidence types; PredictLeads is the only one here that pairs five-source technology detection with hiring, news, financing, and relationship data in a single API.
• Wappalyzer and SimilarTech suit quick website lookups, HG Insights suits enterprise IT spend planning, TheirStack suits job-posting-based signals, and Coresignal suits bulk workforce datasets.
• PredictLeads Technology Detections cover 2B+ detections since 2018 across 99M+ companies and 240,000+ technologies, delivered through API, flat files, webhooks, and MCP.

Table of Contents

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• What Is a BuiltWith Alternative?
  • Why Teams Look Beyond BuiltWith
• How We Ranked These BuiltWith Alternatives
• Best Overall BuiltWith Alternative: PredictLeads
  • Why the Combination Wins
• Wappalyzer: Fast Website Technology Lookups
• SimilarTech: Website Technology With Traffic Context
• HG Insights: Enterprise Technographics and IT Spend
• TheirStack: Technology Signals From Job Postings
• Coresignal: Bulk Company and Workforce Datasets
• BuiltWith Alternatives Feature Comparison
• Why PredictLeads Is the Best BuiltWith Alternative
  • Evidence You Can Audit
  • Data Your Systems Can Consume
• Frequently Asked Questions
  • Best BuiltWith Alternative in October 2026
  • Is there a free alternative to BuiltWith?
  • Detecting Technologies Not in Website Code
  • BuiltWith Alternatives With CRM Enrichment APIs
  • BuiltWith Alternatives for Investment and Deal Sourcing
• Ready to See This in Your Data?
• Final Thoughts on BuiltWith Alternatives

What Is a BuiltWith Alternative?

A BuiltWith alternative is a technographic data source that provides evidence of which technologies a company uses or has recently used, so you can find, segment, and rank accounts by their stack. BuiltWith built its reputation profiling the technologies a website exposes, and reviewers on G2 credit it for identifying the tools target companies use. Teams start comparing alternatives when they need evidence that page code cannot show, signals that explain why a stack is changing, or a feed their own systems can consume.

Each evidence type sees a different slice of the stack (see how technographic data is collected for the full method breakdown):

• Script tags and page code: analytics, tag managers, chat widgets, and ecommerce platforms that load in the browser.
• DNS records: email, security, and verification services named in MX, TXT, and CNAME records. Cloudflare’s explainer on DNS TXT records shows why verification entries often name the vendor.
• IP ranges: hosting, CDN, and cloud infrastructure behind a domain.
• Cookies: marketing and personalization tools that set identifiable cookies.
• Job descriptions: internal tools such as CRMs, data warehouses, and ERPs, named as required skills, that customers never see.

Why Teams Look Beyond BuiltWith

BuiltWith crawls websites and reads their HTML, JavaScript, headers, and DNS records, according to a third-party comparison. Three gaps push teams to look further. First, back-office coverage: a Salesforce or Snowflake contract rarely leaves a trace in public page code, so website-based detection can under-count the enterprise tools sales teams care about most. Second, delivery: list exports suit one-off campaigns, while RevOps and data teams want records flowing into a CRM, warehouse, or AI agent on a schedule. Third, cost structure: G2’s pricing listing shows BuiltWith plans starting at $295 per month, which some teams weigh against usage-based API pricing.

BuiltWith remains a reasonable fit when your main job is checking a single site’s front-end stack or sizing the market for a web technology. PredictLeads Technology Detections draw on all five evidence types above and record how many contributed to each detection in the source_count field.

How We Ranked These BuiltWith Alternatives

We scored each tool on six criteria that decide whether technographic data is usable for B2B targeting, and not merely interesting to browse:

1. Detection sources: how many independent evidence types feed each detection.
2. Coverage scale: published counts of companies, domains, and technologies.
3. Historical timestamps: first-seen and last-seen dates that support trend, renewal, and churn analysis.
4. Signals beyond technology: hiring, news, financing, or relationship data from the same provider.
5. Delivery methods: web app, API, flat files, webhooks, and MCP.
6. Source transparency: whether you can see which source produced a detection.

Scoring is based on public documentation and neutral third-party reviews and listings, not hands-on testing of every product. Where we could not find enough published detail for a criterion, we noted it as a gap instead of guessing at a number. Coverage counts that appear only in a vendor’s own materials are marked “not verified,” because no neutral source confirms them.

Best Overall BuiltWith Alternative: PredictLeads

PredictLeads is a B2B company intelligence and technographic data provider: it delivers structured, source-backed records that your CRM, enrichment pipeline, or AI agent consumes, not a prospecting app you log into. For teams replacing BuiltWith, the core is the Technology Detections dataset, backed by adjacent datasets that explain why a stack is changing.

Four stat tiles: 2B+ technology detections since 2018, 99M+ companies with detections, 240,000+ technologies tracked, and 5 detection sources including job descriptions. PredictLeads Technology Detections by the numbers 2B+ technology detections since 2018 99M+ companies with detections 240,000+ technologies tracked 5 detection sources, incl. job descriptions Source: PredictLeads dataset figures, October 2026. Figures are rounded.

PredictLeads Technology Detections at a glance.

• Technology Detections: 2B+ detections since 2018 across 99M+ companies and 240,000+ technologies, from script tags, DNS records, IP ranges, cookies, and job descriptions. The behind_firewall flag separates detections found outside public website code from those found in a website JS or HTML tag.
• Job Openings: 279.2M+ postings since 2018 from 2.9M+ companies, 10.2M active at any time, each classified with O*NET occupation codes. The descriptions are why job openings data improves tech stack accuracy.
• News Events: 10M+ events since 2016 across 37 categories, including integrates_with, partners_with, and launches.
• Financing Events: 210,800+ events since 2016, from pre_angel through series_j, showing which accounts have fresh budget.
• Connections: 371.8M+ company relationships since 2019, including ~1.4M integration-platform links drawn from customer, partner, and integration pages.
• Similar Companies: lookalikes for 18.9M+ companies, up to 50 per company, with a written reason for the top 20 matches.

Why the Combination Wins

A detection tells you a tool is in use; the surrounding signals tell you whether now is the time to reach out. Picture an account where HubSpot was first detected 11 months ago, two new roles list Salesforce administration as a required skill, and a series_b round closed last quarter. Each signal alone is ambiguous. Together they are stronger supporting evidence of a possible CRM transition, and a reason to time outreach around the renewal window instead of waiting a quarter.

For example, a sales team targeting mid-market SaaS companies might use PredictLeads to identify a company that recently adopted Snowflake, posted three data engineer job openings in the past 30 days, and closed a Series B funding round last quarter. That combination of signals can indicate active data infrastructure investment and budget availability, the kind of input a tech-based lead scoring model uses to rank it as a stronger sales target than a company showing Snowflake usage alone.

PredictLeads is the only provider in this comparison that natively combines five-source technology detection with Job Openings, News Events, Financing Events, and Connections in a single API. Every record carries first_seen_at and last_seen_at, and API access is self-serve and pay-as-you-go, with a $40 minimum monthly charge for paid usage.

Wappalyzer: Fast Website Technology Lookups

Wappalyzer is a website technology profiler known for its browser extension, which identifies the CMS, ecommerce platform, analytics, and payment tools on the site you are viewing.

What They Offer

• Browser extension, web lookups, and bulk analysis of large URL lists
• Lead lists filtered by technology, industry, or keyword, with company and traffic details
• Alerts when a monitored site’s technology stack changes
• APIs and CRM integration on higher tiers; paid plans start at $250 per month, according to a third-party Wappalyzer review

Good for: marketers, SEO teams, and SDRs who want a fast check of what a single website loads, right from the browser.

Limitation: detection relies on what websites expose, so back-office tools that only surface in job descriptions can be missed, and first-seen and last-seen history was not published in the materials we reviewed.

Bottom line: Wappalyzer answers “what loads on this page”; PredictLeads adds job-description evidence across 99M+ companies, flagged with behind_firewall, to show what a company uses behind the site.

Sources: Copy.ai Wappalyzer review; Capterra Wappalyzer listing.

SimilarTech: Website Technology With Traffic Context

SimilarTech is a technographics product, now part of Similarweb’s sales intelligence offering, that tracks which technologies websites use and pairs them with web traffic context.

What They Offer

• Technology profiles for websites and lead lists of sites using a given technology
• Alerts when a monitored website’s technology stack changes
• Traffic and geographic context drawn from Similarweb data

Good for: digital and ecommerce teams that want technology adoption viewed alongside site traffic, such as sizing a platform’s market by the traffic of the sites using it.

Limitation: detection is website-based, so tools that leave no trace on a website fall outside its published method, and per-detection source attribution was not published in the materials we reviewed.

Bottom line: SimilarTech ties a stack to traffic; PredictLeads ties it to hiring, funding, and 10M+ News Events, so you can see why the stack is changing.

Sources: G2 SimilarTech reviews; Salesforge SimilarTech profile.

HG Insights: Enterprise Technographics and IT Spend

HG Insights is an enterprise technology intelligence provider focused on technographics, IT spend, and buyer intent, and it added Intricately’s cloud adoption and usage data when it acquired Intricately in March 2022.

What They Offer

• Technographic data and IT spend estimates for enterprise account and territory planning
• Cloud product adoption and usage data from Intricately’s sensor network
• Buyer intent signals and CRM integrations

Good for: large enterprise sales and marketing teams that plan territories around IT budgets and want spend estimates attached to technology data.

Limitation: access is built for enterprises and pricing is not public, G2 reviewers cite cost as a barrier for smaller teams, and per-detection source attribution was not published.

Bottom line: HG Insights focuses on spend; PredictLeads gives self-serve API access to 2B+ timestamped detections, starting with 100 free API requests.

Sources: Mr Web acquisition coverage; G2 HG Insights reviews.

TheirStack: Technology Signals From Job Postings

TheirStack is a job-posting search and technographics tool that infers which technologies companies use from the skills named in their job listings, instead of by crawling websites.

What They Offer

• Technology detection from job descriptions, including backend and internal tools; a third-party review lists 32,000+ technologies across 11M+ companies
• Job posting search and hiring-signal alerts
• Web app, REST API, webhooks, and CSV export, with each detection linked to its source job posting

Good for: sales and recruiting-adjacent teams that want technology signals tied directly to hiring, especially for backend and data tools that never appear on a website.

Limitation: detection relies only on job postings, so companies that rarely hire for a tool can be under-represented, and website, DNS, and IP-range evidence are not part of its published method.

Bottom line: TheirStack reads one evidence type; PredictLeads uses job descriptions as one of five sources and backs them with 279.2M+ job postings since 2018.

Sources: SyncGTM TheirStack review.

Coresignal: Bulk Company and Workforce Datasets

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

What They Offer

• Company, employee, and job posting records; a Proxyway review lists 75M+ company and 839M+ employee records
• Technographic data listed among its data categories on Datarade
• API access, flat files in JSON, JSONL, CSV, or Parquet, cloud marketplace delivery, and MCP

Good for: data teams building workforce analytics, talent intelligence, or investment models that need employee-level and job records in bulk.

Limitation: Proxyway notes self-service is mostly limited to the API and dataset pricing is sales-based, and a technology detection method with per-detection source attribution was not published in the materials we reviewed.

Bottom line: Coresignal focuses on workforce data; PredictLeads focuses on company-level signals, pairing 2B+ technology detections with 371.8M+ Connections and 210,800+ Financing Events.

Sources: Proxyway Coresignal review; Datarade Coresignal profile.

BuiltWith Alternatives Feature Comparison

The table scores each tool against the six criteria using public sources, with BuiltWith included as the baseline. “Not published” means we could not find the detail in public materials; “not verified” means only the vendor reports it.

If your team mostly checks individual websites, several rows cover that job. If you need technology evidence combined with hiring, funding, and relationship signals in one feed, PredictLeads is the only tool in the table marked Yes for detection sources, coverage, timestamps, signals, and source transparency together.

Use this short list to match your use case to a tool:

• If you need pure website technology lookups on a budget, choose Wappalyzer.
• If you need website technology data paired with traffic context, choose SimilarTech.
• If you need enterprise IT spend and cloud adoption intelligence, choose HG Insights.
• If you need technology signals built from job postings alone, choose TheirStack.
• If you need workforce and company datasets at scale, choose Coresignal.
• If you need technology detection combined with hiring, funding, and company growth signals for B2B sales and marketing, choose PredictLeads.
• If you only need occasional website technology lookups for market research, BuiltWith itself may still suffice.

Weigh your budget against how often you need fresh data, since some tools price by seat and others by usage. Decide whether API access matters more than manual lookups, especially if the data needs to feed a CRM or warehouse on a schedule. When business context such as hiring, funding, or news changes the timing of your outreach, that often matters more than raw technology coverage alone.

Why PredictLeads Is the Best BuiltWith Alternative

Website lookups answer one question: what loads on this page. Teams replacing BuiltWith usually need three more answers: what the company uses behind the site, when that changed, and whether other signals suggest it is about to change again. PredictLeads answers all four from one source. For the wider market view, see our ranking of the best technographic data providers.

Diagram: script tags, DNS records, IP ranges, cookies, and job descriptions feed a PredictLeads technology detection record with first_seen_at, last_seen_at, source_count, and behind_firewall fields, which is paired in the same API with Job Openings, News Events, Financing Events, and Connections. Five evidence sources, one timestamped detection Script tags DNS records IP ranges Cookies Job descriptions Technology detection first_seen_at last_seen_at source_count behind_firewall Paired in one API Job Openings News Events Financing Events Connections Job descriptions surface internal tools that never appear on a website. behind_firewall = true: the evidence did not come from a website JS or HTML tag.

How PredictLeads turns five evidence types into one auditable, timestamped detection.

Evidence You Can Audit

Every detection carries first_seen_at, last_seen_at, source_count, and the behind_firewall flag, and Extended Technology Detections add detection_source and detection_source_type, so you can see where the evidence came from. That matters when a tool disappears. A technology that is no longer detected may reflect a script change, a recrawl gap, or a signature change, so PredictLeads reports the last date it was seen rather than declaring a cancellation. If job postings also stop mentioning the tool, treat that as stronger supporting evidence of a possible transition, not confirmation.

Data Your Systems Can Consume

To find every company using a technology, call GET /discover/technologies/{technology_id_or_fuzzy_name}/technology_detections, which returns detections ordered by first_seen_at. To enrich a known account, call GET /companies/{company_id_or_domain}/technology_detections. The Technologies catalog adds pricing_data (min_usd, max_usd, and average_spend) for spend-based prioritization, and the full schema lives in the PredictLeads API documentation.

Pick the delivery method that fits your stack: the API for real-time lookups, flat files for Snowflake or BigQuery, webhooks for push alerts on followed companies, and MCP for AI agents through the PredictLeads MCP server. PredictLeads is SOC 2 Type II certified, GDPR and CCPA compliant, and collects only publicly available information; it is a company intelligence provider, not a contact database.

Frequently Asked Questions

What is the best BuiltWith alternative in October 2026?

For B2B teams that need technographic data inside a CRM, enrichment pipeline, or AI workflow, PredictLeads is the strongest BuiltWith alternative in this comparison. It detects technologies from five sources, including job descriptions that reveal tools a website never shows, and timestamps every detection with first_seen_at and last_seen_at. Technology Detections cover 2B+ detections since 2018 across 99M+ companies. If you only need a quick look at one site’s front-end stack, a browser-extension profiler can be enough.

Is there a free alternative to BuiltWith?

Yes, for light use. Browser-extension tools such as Wappalyzer offer a limited number of free lookups, though free tiers usually exclude bulk exports and history. PredictLeads gives you 100 free API requests per month, with no credit card required, so you can pull Technology Detections for your own target accounts before paying. Paid usage is pay-as-you-go with a $40 minimum monthly charge.

Can a BuiltWith alternative detect technologies that do not appear in website code?

Yes, if it uses evidence beyond the website. A job posting that asks for Salesforce administration or Snowflake experience is evidence the company uses or has recently used that tool, even though neither appears in page code. PredictLeads combines job descriptions with script tags, DNS records, IP ranges, and cookies, and the behind_firewall field flags detections that did not come from a website JS or HTML tag. Treat one job-posting mention as evidence of use, not proof of an active contract.

Which BuiltWith alternatives offer an API for CRM enrichment?

Most tools in this comparison publish some form of API, so the better question is what each record contains. Request one target account and check for a first-seen date, a last-seen date, and the source behind each detection. PredictLeads returns first_seen_at, last_seen_at, and source_count on every Technology Detections record, with detection_source in the Extended version. A company-specific lookup typically costs 1 credit per response, and the same data is available as flat files, webhooks, or MCP.

Can BuiltWith alternatives be used for investment research or private equity deal sourcing?

Yes, especially when technology data is combined with growth signals. Technographics help investors screen targets by stack maturity and flag changes worth a diligence question. PredictLeads pairs Technology Detections with Job Openings (279.2M+ records since 2018) as a growth proxy, Financing Events (210,800+ since 2016), and Similar Companies with written similarity reasons for comparable sets. You can load it as flat files into Snowflake or BigQuery and use the API for ad hoc checks.

Is there a free BuiltWith alternative?

Yes. Wappalyzer’s browser extension offers free technology lookups for individual sites, so you can check a site’s stack without a paid plan. Bulk data, lead lists, and API access typically require a paid plan once you move past one-off lookups. PredictLeads also gives you 100 free API requests to test Technology Detections on your own target accounts.

What is the cheapest BuiltWith alternative for finding leads based on technology use?

Teams on a budget often start with Wappalyzer or another free lookup tool to spot-check a handful of accounts. Once you need to build lead lists at scale, or pair technology data with hiring, funding, and company signals, providers like PredictLeads become the more cost-effective option, since pay-as-you-go API pricing scales with usage instead of a flat subscription.

Can I find companies using a specific niche technology or JavaScript framework?

In most cases, yes. PredictLeads, Wappalyzer, and BuiltWith all support technology-specific searches, letting you query for companies using a named tool or framework. Coverage of newer or niche technologies varies by provider, since it depends on how frequently each vendor updates its technology catalog and recrawls sites.

Which BuiltWith alternative is best for finding companies that are actively scaling their engineering team?

Technology detection alone is not the strongest signal here, because hiring often precedes visible technology adoption. Combining technology detection with Job Openings data, as PredictLeads provides, gives you earlier evidence: a company hiring for a specific stack skill can signal a tool change before it shows up in website code.

Which APIs can detect when a company stops using a vendor or technology?

PredictLeads Technology Detections timestamp every record with first_seen_at and last_seen_at, so you can see when a technology was last detected instead of guessing at a cancellation date. A technology that is no longer detected may reflect a script change, a recrawl gap, or a signature change, so treat a widening gap between last_seen_at and today as evidence worth checking, not confirmation that a vendor was dropped. The source_count field shows how many evidence types confirmed the detection, and Extended Technology Detections add detection_source for each one. Pairing a fading detection with new Job Openings that name a different tool as a required skill gives stronger supporting evidence of a vendor switch. Query GET /companies/{company_id_or_domain}/technology_detections for one account, or GET /discover/technologies/{technology_id_or_fuzzy_name}/technology_detections to find every company with a detection for a given tool.

What’s a good way to enrich a CRM with firmographic and technographic data through one API?

Pull both record types in the same enrichment call so your CRM fields update together instead of drifting apart. PredictLeads’ Companies dataset supplies firmographic fields such as location, revenue range, and headcount, while Technology Detections supplies technographic evidence from script tags, DNS records, IP ranges, cookies, and job descriptions, and both carry first_seen_at and last_seen_at timestamps on every record. Call GET /companies/{id_or_domain} for the firmographic record and GET /companies/{company_id_or_domain}/technology_detections for the technology evidence, or run both through Clay, Make, or n8n for a no-code enrichment workflow. For a full account list, flat files delivered to a warehouse such as Snowflake or BigQuery avoid one API call per row.

Which data providers offer a similar or lookalike companies feature?

Look for a provider that explains why two companies are similar, not merely that they match on a few firmographic filters. PredictLeads’ Similar Companies dataset covers 18.9M+ companies, returns up to 50 lookalikes per company, and includes a written reason for the top 20 matches, drawing on technology detections, job openings, news events, and other signals rather than firmographics alone. That reason is what makes a match usable for personalized outreach or for building a comparable set in investment research, instead of a bare list of company names. Query the Similar Companies dataset for a known account to get scored, ranked matches with position and reason fields included.

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Final Thoughts on BuiltWith Alternatives

The right BuiltWith alternative depends on the question you are asking. BuiltWith remains solid for pure website technology lookups, Wappalyzer suits budget-conscious teams that need a quick check, HG Insights’ Intricately data covers cloud-specific intelligence, and Coresignal fits teams that need broad workforce datasets. For B2B sales, marketing, and GTM teams that need technology data paired with hiring, funding, and growth signals, PredictLeads gives the most complete picture, with 2B+ detections across 99M+ companies. Test it on your own target accounts: you get 100 free API requests per month after you create an account.