BuiltWith
Technographic data provider. Identifies technology stacks used by websites for targeted prospecting.
Technographic data provider. Identifies technology stacks used by websites for targeted prospecting.
Primitives
- Provider type
- commercial
- Core dataset
- Technographic data provider. Identifies technology stacks used by websites for targeted prospecting.
Technographic data provider. Identifies technology stacks used by websites for targeted prospecting.
Why GTM teams care
The community recognizes BuiltWith's strengths in tech validation for known domains but expresses frustration with its limitations in generating new domain lists and the costs associated with its API.
What this means
- Validating technology stacks of companies for existing domain lists.
- Enriching databases with specific technology stack information post-initial collection.
- Generating lists for competitive analysis or ABM targeting when used in conjunction with other tools.
Tasks you can run with BuiltWith on Deepline
BuiltWith is wired into Deepline. 16 actions are available out of the box, runnable from the CLI or as a column step in an enrichment spreadsheet.
Quick start
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_bulk_domain_job_result:{"job_id":"{{job_id}}"}' --jsonAvailable actions
Builtwith Bulk Domain Job Result
Downloading the one-time result payload for a completed BuiltWith bulk domain job.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_bulk_domain_job_result:{"job_id":"{{job_id}}"}' --jsonBuiltwith Bulk Domain Job Status
Polling the status of a queued BuiltWith bulk domain job.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_bulk_domain_job_status:{"job_id":"{{job_id}}"}' --jsonBuiltwith Bulk Domain Lookup
Running native BuiltWith bulk domain lookups with automatic async polling when a batch exceeds the sync limit.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_bulk_domain_lookup:{"domains":["{{domains}}"]}' --jsonBuiltwith Company To Url
Resolving likely domains from a company name.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_company_to_url:{"company":"{{company}}"}' --jsonBuiltwith Domain Lookup
Inspecting current or historical technologies, metadata, and spend signals for one domain or a small multi-domain set.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_domain_lookup:{}' --jsonBuiltwith Free Lookup
Getting free group/category summaries for a domain before running deeper paid lookups.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_free_lookup:{"domain":"{{domain}}"}' --jsonBuiltwith Keywords
Pulling BuiltWith keyword data for a domain.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_keywords:{"domain":"{{domain}}"}' --jsonBuiltwith Lists
Building account lists of sites that currently use a specific technology.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_lists:{"tech":"{{tech}}"}' --jsonBuiltwith Product Search
Finding ecommerce shops currently selling a product query.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_product_search:{"query":"{{query}}"}' --jsonBuiltwith Recommendations
Getting adjacent technology recommendations for a domain.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_recommendations:{"domain":"{{domain}}"}' --jsonBuiltwith Redirects
Inspecting inbound and outbound redirect history for a domain.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_redirects:{"domain":"{{domain}}"}' --jsonBuiltwith Relationships
Finding related domains that share identifiers or infrastructure traces.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_relationships:{"domain":"{{domain}}"}' --jsonBuiltwith Tag Lookup
Finding domains connected to an IP or BuiltWith tag lookup.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_tag_lookup:{"lookup":"{{lookup}}"}' --jsonBuiltwith Trends
Inspecting aggregate BuiltWith coverage and category data for a technology.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_trends:{"tech":"{{tech}}"}' --jsonBuiltwith Trust Lookup
Checking BuiltWith trust and fraud signals for a domain.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_trust_lookup:{"domain":"{{domain}}"}' --jsonBuiltwith Vector Search
Finding the right BuiltWith technology or category name before using lists or trends.
deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=builtwith_vector_search:{"query":"{{query}}"}' --jsonWhat people are saying about BuiltWith
Real quotes from 5 cited sources across review sites, blogs, Reddit, HN, X, and community forums.
“It is great for exporting custom fields such as Alexa ranking, technology used by them or revenue information for the prospects to CRMs.”
“Builtwith is constantly updated with the current tech stack of a website which helps me gather more information about my prospects.”
“The accuracy of Builtwith is so so. I usually prefer datanyze for accuracy.”
“BuiltWith was terrible. Out of 40,000 leads, I ended up being routed through Apollo and only got 400 verified.”
“BuiltWith gives you lists of companies using specific tech, but it doesn't give you contact data.”
Frequently asked
What is BuiltWith?
Technographic data provider. Identifies technology stacks used by websites for targeted prospecting.
What is BuiltWith best for?
Teams use BuiltWith for Validating technology stacks of companies for existing domain lists, Enriching databases with specific technology stack information post-initial collection, and Generating lists for competitive analysis or ABM targeting when used in conjunction with other tools.
What do public references say about BuiltWith?
The cited source set is mixed, with balanced positive and critical references across 5 cited items. Deepline tracks 2 cited sources for this provider entry.
What should teams check before choosing BuiltWith?
BuiltWith cannot generate a list of domains based on technology without input domains, which limits its utility in discovery, There is frustration expressed regarding the inability to filter technology stacks directly within Clay, limiting integrated use, and Some users have shifted focus to alternative tools due to high costs associated with BuiltWith's API and lack of comprehensive data for certain use cases.
What alternatives should teams compare with BuiltWith?
Teams commonly compare BuiltWith with HG Insights, which provides tech filtering based on technology stack, Wappalyzer, though it's considered expensive, offers an API for tech detection, StackSee, which is a more affordable option compared to Wappalyzer, and Theirstack, which can identify tech stacks not covered by BuiltWith.
Share your experience with BuiltWith
No vendor influence. Post anonymously or with your name.
Pros
- BuiltWith provides a reliable way to validate technology stacks for known domains.
- It is preferred for enriching existing lists with technology data.
- BuiltWith offers a wide range of technology options, making it versatile for various tech stack queries.
Cons
- BuiltWith cannot generate a list of domains based on technology without input domains, which limits its utility in discovery.
- There is frustration expressed regarding the inability to filter technology stacks directly within Clay, limiting integrated use.
- Some users have shifted focus to alternative tools due to high costs associated with BuiltWith's API and lack of comprehensive data for certain use cases.
- Category
- Scraping & Lists
- Community mentions
- 6
- Sentiment score
- Neutral (0.00)
- Website
- builtwith.com
Questions mentioning BuiltWith
2 questions reference this provider.
What are good use cases for Claude Code in sales?
“...- Aggregates data from: company website, recent funding, tech stack (BuiltWith/Wappalyzer), news mentions, competitor analysis - Generates executive summary with talk tracks and questions...”
How do I build company lists now that Apollo scraping is restricted?
“...Most complete | 90% | | **Crunchbase** | Funded companies | 60% | | **BuiltWith** | Tech stack targeting | 70% | | **TheirStack** | Hiring signals | 65% | | **Google Maps** | Local/SMB | 80...”
Run a Deepline workflow after researching BuiltWith
These public play pages include concrete inputs, outputs, workflow steps, and CLI instructions for running or forking a Deepline play.
Community signals
Community discussions and reviews from the last 30 days.
BuiltWith reference from Asif M., Sales and Marketing Director
It is great for exporting custom fields such as Alexa ranking, technology used by them or revenue information for the prospects to CRMs.
BuiltWith reference from u/Certain-Glass4372, r/coldemail
BuiltWith was terrible. Out of 40,000 leads, I ended up being routed through Apollo and only got 400 verified.
All opinions are community-sourced from real GTM practitioners. No vendor can claim or edit this page.