Company Firmographic Enricher

What's new (October 2026)

• Split HQ address. Every row now carries hq_street, hq_city, hq_state, hq_postal_code, and hq_country, split from the same JSON-LD address hq_location is built from. On by default. hq_location and data_completeness are unchanged.
• LinkedIn company URL, opt in. Turn on includeLinkedinUrl to add linkedin_company_url, linkedin_url_method, and linkedin_url_confidence, found with Domain to LinkedIn URL Resolver's own method: the LinkedIn page the homepage links, then a verified web search. Off by default, and free when on.

No price change. Existing fields and saved inputs work as before.

🏢 What can Company Firmographic Enricher do?

Give it a company domain and it returns a structured firmographic record: employee band, industry, HQ location, founded year, a revenue estimate, the company main line, logo and description, parsed from the company's own schema.org/Organization JSON-LD and HTML meta tags.

Every record carries a source_signals array and a data_completeness score, so you always know where the data came from and how much was actually found.

📦 What you get	⚙️ Features and integrations
🏢 Employee band, industry, HQ, founded year ☎️ Company main line, normalized to E.164 🔍 source_signals, exactly which sources contributed 🧾 31 flat fields, always present, null when absent	🧬 JSON-LD first, HTML meta tags as fallback 🛡️ Datacenter proxy fallback only when blocked 🧊 7 day cache, repeat lookups skip the network, not the per-row charge ⬇️ Export to JSON, CSV, Excel, HTML or XML

Bought by Clay users, RevOps teams and outbound agencies that need enriched company records without a paid data provider dependency. It is the canonical company record the rest of the Mamba Labs fleet joins on.

🚫 This reads what a company publishes about itself, not a licensed database. No ZoomInfo, no Clearbit, no Crunchbase. It will not return data those providers hold but the company does not publish. That is the tradeoff for auditable, low-cost enrichment.

💡 Why use Company Firmographic Enricher?

If you want	Read these fields
Company size for segmentation	employee_band, employee_count
Where they are	hq_location
How long they have existed	founded_year
A rough revenue band	revenue_estimate
A switchboard number	company_phone, company_phone_raw, company_phone_source
Copy for a sequence	company_name, description, logo_url
Whether to trust the row	data_completeness, source_signals

🔍 Provenance on every row, so you can gate on real coverage

source_signals names exactly which sources populated the record: jsonld_organization, meta_tag, a proxy fetch, cache_hit, and so on. data_completeness is a 0 to 100 share of the eight core fields that were actually found.

Together they mean you never have to guess whether a null is "the company did not publish it" or "the fetch went wrong". Gate downstream work on data_completeness >= 50 rather than assuming a field is present.

▶️ Ready-to-run examples

Example	What it does
Enrich Company Firmographics from a Domain	Name, industry, employee count and location from a domain
Company Lookup by Domain	Domain-to-company enrichment at a low per-row cost
Bulk Domain to Company Enrichment	Enrich a full list of domains in one batch run
Domain to Employee Count and Size	Headcount and size band from a domain
Name and Domain Enrichment with Fallback	Use both name and domain for higher match rates

📋 What data can Company Firmographic Enricher extract?

31 fields per domain, in this table and in "More fields on every row" below. Every field is always present; absent values are null.

Field	What it holds
company_name	From JSON-LD name, meta tags, or your input fallback
employee_band	Bucketed range, 1-10 through 10001+
employee_count	Raw count from JSON-LD numberOfEmployees
industry	Best effort, often null
hq_location	"City, Region, Country" from the JSON-LD address
hq_street, hq_city, hq_state, hq_postal_code, hq_country	The same JSON-LD address split into parts, each null when the company did not publish it
linkedin_company_url	The company LinkedIn page when includeLinkedinUrl is on, else null
linkedin_url_method	homepage_link, pattern_match, search, not_found, search_refused (no search engine answered, not a confirmed absence), or error; null when the option is off
linkedin_url_confidence	Verification score from 0 to 100; a URL is returned at 70 or more
founded_year	Four digit year from foundingDate
revenue_estimate	Heuristic band derived from employee count
logo_url	From JSON-LD logo or og:image
description	Company description, capped at 500 characters
company_phone	Main line, E.164 when a country resolves
company_phone_raw	The number exactly as published, before normalization
company_phone_source	Which node it came from
fetch_status	What happened on the fetch
source_signals	Which sources populated the record
data_completeness	0 to 100, share of the eight core fields populated
run_date	When the run happened

⚠️ revenue_estimate is a heuristic, not a figure, derived from employee count using a per-employee proxy. Treat it as a rough band. industry is best effort and often null, because schema.org has no first-class industry field. Neither should be relied on the way you would rely on employee_count, which comes straight off the company's own published data.

📏 How often headcount and HQ are filled. Both come only from the company's own homepage structured data, and most homepages do not publish them. Measured on 2026-10-12 across 28 reachable homepages of well known software companies: employee_count (and so employee_band and revenue_estimate) was published on 3, and hq_location on 13. The actor read every value that was published. A null here means the homepage does not state it, not that the read failed. A page that lists several offices without naming the headquarters returns null rather than a guess. For headcount on a list where most rows must be filled, use a source that estimates it, such as a data provider in Clay, and keep this actor for the companies that publish it.

🛠️ How to enrich a company from its domain

1. Open the Input tab and put a bare domain in domain, without https:// or a trailing slash.
2. Optionally set company_name as a fallback label for pages that do not publish one.
3. For a list, use domains instead. It takes precedence and returns one row per domain.
4. Click Start.
5. Check data_completeness before you use the row.

🧪 Using it in Clay

Add an Apify enrichment column and map your domain column to domain. The output is flat, so every field maps to a Clay column with no JSON unwrapping.

Gate downstream enrichment or outreach on data_completeness >= 50 so you do not spend credits enriching rows where almost nothing was found.

☎️ How the phone number is chosen

telephone is a standard property on the organization nodes this actor already parses, so the switchboard number costs no extra request and no extra credit.

Read in precedence order: a node's own telephone, then a nested contactPoint with a general, main or customer service contactType ahead of sales, support and billing, then a telephone on the address or location node, then the phone meta tags. Where two nodes disagree, the one whose own url or @id sits on the domain being enriched wins, then the more specific node type.

The number is normalized to E.164 using the HQ country the actor already resolves. Where no country can be determined it is emitted exactly as published, without a leading +, so the leading + is itself the provenance: present means E.164, absent means the country was unknown and the value is untouched. Implausible values are rejected rather than emitted: wrong digit counts, repeated and sequential digit runs, the NANP 555-01xx fictional range and the Ofcom drama ranges.

💵 How much does it cost to enrich a company?

You are charged once per domain enriched.

Plan	Per domain	Per 1,000 domains
Free	$0.004	$4.00
Bronze	$0.0038	$3.80
Silver	$0.0036	$3.60
Gold	$0.0034	$3.40

There is also an Actor start event at $0.00005, charged once per run per GB of memory.

Free Apify plans get 800 results per calendar month, resetting on the 1st. Paid plans have no monthly cap.

🛑 Your spending limit is respected. Set a maximum cost per run in Apify, or max_charge_usd on the Input tab, and the run stops before it would go over, keeping every result already charged. Each row's billable_events_json lists the events that row was charged for.

💳 A domain that publishes nothing is still billed. The actor fetched the page, parsed it and reported honestly that there was nothing there, and data_completeness: 0 is a real answer.

📅 Scheduled pricing change, 2026-10-26 12:00 UTC. Results move from Apify's default per-row event to a named result event at the same price on every plan, so each result row costs exactly what it costs today. A run summary row and a blocked lookup row stop being charged. Until then every row is billed as described above.

⚠️ A cached repeat lookup is served instantly but is still billed. This actor prices per result row, and Apify charges that event for every row written to the dataset, whether the answer came from the network or from the 7 day cache. Corrected 2026-08-12: an earlier version of this section said cached repeat lookups were free. They are not, and they never were. Measured on 2026-08-12, an identical three domain re-run 19 minutes after the first was charged the same three result events. The cache saves you the wait and the platform usage, not the per-row price.

⌨️ Input

Everything is on the Input tab. Provide either domain or domains.

Field	Type	Default	What it does
domain	string	stripe.com	Bare domain, no scheme and no trailing slash.
company_name	string	none	Fallback label when the page does not publish a name.
domains	array	none	Batch. Takes precedence over domain. One row per domain.
companies	array	none	Web search mode. A list of {"domain": "...", "company_name": "..."}, either field may be empty. Needs anthropicApiKey. One row per company.
anthropicApiKey	string	none	Your own Anthropic API key, stored encrypted. With it, each company is looked up by Claude Haiku with web search instead of from its homepage, billed to your Anthropic account (about 0.03 to 0.05 USD a company).
batchSize	integer	5	Domains enriched concurrently per wave. Maximum 10.
skipCache	boolean	false	Force a fresh enrichment and ignore the 7 day cache.
includeLinkedinUrl	boolean	false	Add linkedin_company_url: the LinkedIn page the homepage links first, then a verified web search. A page under the confidence floor is not returned. No request goes to linkedin.com. No extra charge.
failOnMostlyEmpty	boolean	false	Off by default: a domain that publishes no firmographic field returns a row with null fields, resolution_status and empty_reason, and the run ends SUCCEEDED. Set true to end the run FAILED when more than half the rows resolve no firmographic field (industry, employee count, HQ or founded year). The rows are saved either way.
max_charge_usd	number	none	Optional. The run stops before the next result that would take this run's charges over this amount, and keeps every result already charged. Leave empty to rely only on the maximum cost per run you set in Apify.

📤 Output

One flat row per domain, exportable as JSON, CSV, Excel, HTML or XML.

{
  "domain": "gitlab.com",
  "company_name": "GitLab",
  "employee_band": "1001-5000",
  "employee_count": 2500,
  "industry": null,
  "hq_location": "San Francisco, CA, US",
  "hq_street": "268 Bush Street #350",
  "hq_city": "San Francisco",
  "hq_state": "CA",
  "hq_postal_code": "94104",
  "hq_country": "US",
  "linkedin_company_url": "https://www.linkedin.com/company/gitlab-com",
  "linkedin_url_method": "homepage_link",
  "linkedin_url_confidence": 95,
  "founded_year": "2011",
  "revenue_estimate": "$250M-$1B",
  "logo_url": "https://about.gitlab.com/images/press/gitlab-logo-500-rgb.svg",
  "description": "GitLab is the DevSecOps platform.",
  "company_phone": "+14155550199",
  "company_phone_raw": "(415) 555-0199",
  "company_phone_source": "jsonld_organization",
  "fetch_status": null,
  "industry_source": null,
  "resolution_status": "resolved",
  "empty_reason": null,
  "source_signals": ["jsonld_organization"],
  "data_completeness": 88,
  "run_date": "2026-06-19T13:13:15Z"
}

🧾 More fields on every row

Field	Type	What it holds
industry_source	string	Which signal named the industry: jsonld_property (the site's own JSON-LD industry field), jsonld_type (a specific schema.org type such as CollegeOrUniversity), or page_text (keywords in the homepage title, description, headings and copy). Null when industry is null.
resolution_status	string	resolved when at least one of industry, employee_count, hq_location or founded_year was found; empty when the page was read but none was; fetch_failed when the homepage could not be read; error when enrichment threw.
empty_reason	string	Why the row did not resolve, such as homepage_unreachable:<fetch_status>, page_text_too_thin:
row_status	string	ok, degraded, error, or notice (a notice row carries a message, not a result). Present on every row.
error_reason	string	Why the row is degraded or an error, in plain words. Null on an ok row. Present on every row.
billable_events_json	string	JSON list of the pricing events this row was charged for, for example [{"event":"apify-default-dataset-item","count":1}]. Lets you reconcile a run from the dataset alone. The once per run start event is not repeated on rows.

💡 Tips

• Gate on data_completeness rather than on any single field being non-null.
• A row served from cache carries cache_hit in source_signals, so a null phone on a cached row is distinguishable from one on a fresh parse.
• Pass company_name when you have it. It costs nothing and fills the label on sites that publish no name.
• Use employee_band for segmentation and employee_count when you need the raw number. The band is stable across sites that publish ranges rather than exact figures.

🧯 What a run that finds nothing looks like

Since 2026-10-12 one empty lookup never ends the run.

• A domain with nothing published returns its row with null fields, resolution_status: empty and an empty_reason such as no_firmographic_signal_on_homepage. The run ends SUCCEEDED, with a warning in the status message when most rows are empty. Set failOnMostlyEmpty: true if you want that case to end FAILED instead.
• A domain that refuses the fetch returns resolution_status: fetch_failed and the refusal in fetch_status.
• Run time is budgeted. Every page request is capped by the time left in the run, less a 90 second reserve, and no new batch of domains starts when less than about 35 seconds of that budget is left. Domains not started are listed under skipped_for_budget in the run's RESOLUTION_SUMMARY record, so a long list on a short timeout ends cleanly with the rows it has.
• A labeled run outcome, not a billed row. The run's RESOLUTION_SUMMARY record (Storage, Key value store) carries run_outcome (found, no_results, blocked or timed_out), run_outcome_reason, the sources reached or refused, and the run ID and build. A refusal is labeled blocked, never reported as zero. This actor is priced per dataset row, and Apify charges every row written to the dataset, so the outcome is kept out of the dataset: you are never charged for a row the actor did not find beyond the per domain rows described under pricing.

⚠️ Known limits

Coverage varies by what the company publishes. Sites with rich schema.org/Organization JSON-LD return a near-complete record; sites with only basic meta tags return name, description and logo. data_completeness and source_signals make that transparent on every row.

revenue_estimate is a heuristic, not a figure. Treat it as a rough band, never as an authoritative revenue number.

industry is best effort and often null. schema.org has no first-class industry field. Do not build a segmentation on it being present.

Most sites publish no telephone. A null company_phone is the ordinary outcome, not a failure and not a degraded run. Every other field is unaffected, and the field is deliberately excluded from data_completeness so adding it did not reprice any historical score.

No paid data provider. This actor will not return data ZoomInfo, Clearbit or Crunchbase hold but the company does not publish.

The LinkedIn URL needs a link or a verified search hit. With includeLinkedinUrl on, a company whose homepage does not link its LinkedIn page and whose search results do not verify returns linkedin_company_url null with linkedin_url_method not_found. Company type and specialties are not returned: they exist only on LinkedIn pages, and this actor sends no request to linkedin.com.

Results are cached for 7 days. Pass skipCache: true for a live enrichment.

❓ FAQ

Why is industry null on a company that obviously has one?

Because the company did not publish it. schema.org has no first-class industry field, so this is the common case rather than the exception. Since build 0.0.34 the page copy is not used to guess one: a single generic word in a meta description used to decide it. Pass your own anthropicApiKey for the web search lookup, which names the industry, a headcount band, the company type and the company's own domain, and says whether the domain you sent belongs to the company you named.

What does the web search lookup add to a row?

official_domain (the named company's own website), domain_matches_company (whether the domain you sent is it), company_type (direct_employer, job_board, staffing_agency or other), industry with industry_source web_search, employee_band from the headcount band, identity_confidence (high, medium or low), identity_evidence, web_searches, and the input_domain and input_company_name you sent. A field the lookup could not establish is null.

What happens when a site blocks the fetch?

The actor fetches direct first, then the www host, and only falls back to a datacenter proxy when a domain blocks, which keeps runs fast and cheap. If it is still blocked, the row comes back with resolution_status: fetch_failed and fetch_status naming the refusal, for example direct:http_403,proxy:challenge_cloudflare. A refusal is labeled as one; it is never reported as a company with no data, and it is never raised as a run error.

One domain failed in my batch. Did it break the run?

No. Failures are caught per domain and the other rows are unaffected.

A JSON-LD block on the page is broken. Does that lose the whole record?

No. A block that is not valid JSON is skipped and reported in source_signals as jsonld_malformed_block, and the scan continues through the remaining blocks.

How do I know whether a phone number was normalized?

The leading +. Present means E.164; absent means the country could not be determined and the value is exactly as published. company_phone_raw always holds the published string.

🧩 Want other GTM data?

Mamba Labs builds a fleet of enrichment actors that share one flat output convention:

Actor	Actor ID
Account Hiring Watch	gRAZA5WBi1r6L0gy7
Agent Accessibility Auditor	anxbRv0lKrpQ1pnua
Agent to Brokerage Resolver	ePRRGLxOGyaVHO4dI
AI Answer Visibility Tracker	RJZvzKniYK4nswcMg
AI List Extractor for Any Website	D5hOdIez45M0NX5jD
AI Tooling Detector	EwkHhmqiuJgRoVEbE
Amazon Product, Price, and Stock Tracker	MtJPZoyjJ3IeqTFyo
Amazon Top Reviews Scraper	wh6Mq6G6BlW1CRPwx
API Deprecation and Breaking Change Monitor	pHsbS3xXUK8Jqutz5
App Store and Google Play Review Monitor	MaCMEhGrbchxQZ92G
B2B Reddit Conversation Monitor	SoDryzzsjmY3SsiyG
B2B Social Video Transcripts	dG2UYVKE2e4zfDucK
Bluesky Brand Presence Mapper	eLpxzP4IuXznlFVND
Bluesky Posts Scraper	KldSjS7wjoeZ7vQGm
Brand Sponsor Finder	PPgK6xrgOmvL7Nrys
Bulk WHOIS and RDAP Domain Age Lookup	MTrkG5FLU6SjqLdJY
Business PDF Field Extractor	vM7JCk0CMAx5W0oJh
Career Change Signal Engine	vX2Yga1a6wGaXaP14
Company Careers Page Jobs, 17 ATS Boards	izP0rfIgf5YaRZfIh
Company Change Event Feed	oX44rS0fkEJ3rXLWe
Company Discovery List Builder	jch0HdaZnpbMqlcGS
Company Firmographic Enricher	YlUtLWjfPpqykmB8g
Company Funding Record	OFS4Mt1gyYNtGfUbE
Company Headcount Estimator	aHC4GROnNt6kfZe5r
Company Identity Resolver	lr8fTRAmZCBZmuwwh
Company Role Email, Phone and Address Finder	4mMncKaJykiq94grz
Company Social Presence Mapper	4k6CCemkgBDz18m2h
Competitor Price, Stock, and Changelog Monitor	yxdgCbUQ4PYQWwRNU
Contact Classifier	0lGSeYJmniXhGANnO
Contractor License Search, CA, TX, WA, OR, LA	WBYK3CPI2kdeq4bP1
CRM Contact Job Change Checker	L8UbEmMJC1XYPSZOb
Domain Deliverability Checker	0tVgxI7A6o9jMlxmc
Domain to LinkedIn URL Resolver	3HtnSaqPHOg1Qg5gx
Ecommerce Platform Profiler	5G2NeYjBbQTjaTn9L
Ecommerce Store Discovery	PeHu4sLyFvQHXUUrX
Email List Verifier, Bring Your Own Key	CzVJ4NlaCKk80xpgE
Event Presence Index	WLhMy8fMDgsxdYxv5
Eventbrite Events Scraper	sgc6znyrbjOy5Yk9f
Expert Witness Finder, US and Australia	LIpwlgfE3LaQBaXd4
Facebook Posts Scraper	T6jxIeq4ua0SLXnqG
Funding and Press Signal Scanner	FS13X6dhQVgX3XOM6
GDPR Cookie Banner and Consent Checker	TrKyOS0KBoGC35nbr
GitHub Followers and Following Export	SGNxDmFb9v3tRDaFI
GitHub Organization Signal Scanner	ahF8RRpv5mzPao5CN
Google Ads Transparency Center Scraper by Domain	1eOwxhBVxzvOXAm4s
Google Maps Places Scraper	SuvHCNJ7pIuw6gn54
Google Trends Scraper	OeDzaACKmBYJXzHZk
GTM Hiring Signal Scraper	D7O1SA2EqwHGsGr1P
GTM Signals Aggregator	xKdRfnfFNkdMpFuNs
Healthcare Provider NPI Enricher	MrgbHzcpDq3mOv9Df
ICP Fit Scorer	W161DT8W4kW55dMFh
Influencer Change Monitor	d2VVgahNL6UmcLkhg
Influencer Lead List Builder	KnmByszcv135yM30G
Influencer Profile Scraper	EqEnklDVMIcB1V499
Influencer Search Across TikTok, Instagram and YouTube	tpkedmloIIWtXx6sg
Influencer Talent Agency Lookup	zCuX4Mgyg6JvXgGzd
Instagram Facebook Brand Presence Mapper	HXh65I0JBjPsunbY8
Integration and Marketplace Presence Mapper	V0guNuvM85Q61f2gj
Job Board Keyword Signal Scanner	4DvqpvhMR74NLcDDY
Job Posting Monitor	QCfICD9kOPiOdj5iI
Journalist and Media List Builder	mAfizsZC8qRoR0ecS
Launch Directory List Builder	cRq3bmvEZxZtioQ7U
Lead File Import Checker	RwlGVXTf46LqZdUgt
Legal Entity Resolver	KHFyPCDIx7CyqULYm
Link in Bio Scraper and Newsletter Detector	OorucdheTIgu7RFzK
LinkedIn Company Page Mapper	zOPm6A9JEhUGcIdFW
LinkedIn Jobs Feed	SH6N0d8cz46BhCC8B
LinkedIn Post Tracker	oiGLNPuaf5BRaz9K5
Local Business Lead Builder	qMN97aoHhsAS5bznV
Local Rank and Map Pack Tracker	gv0kyHGDIg8XscclB
Lookalike Companies from Seed Domains	e2O426WBAbLLQL4Z2
Manufacturer and Supplier Finder	Qcsdmd0lUfPzVkonh
MCP Server Change and Health Monitor	IeqjWF9U0BdDQFY08
Media URL Transcriber	Syfr7Ya3EsHgWfrB6
Meta Ad Library Ads by Company, Graph API	J1GWlSXfSGU3u8Wng
Mobile Phone Waterfall	6OOgPktf7RIa5XCOP
Multi Platform Social Posts and Comments	icFuHR1EzDvUcfCQ5
Netherlands Rental Listings	sGKGsbwoX18lFb6dR
New Hire Finder	cKuc38p4nYHNF3IW8
Newly Registered Companies, UK, Norway, Finland, France	g2WfZhWvCtc57g2Jo
News and Media Mention Monitor	gol1PPUKrsIk4QLBd
News Site Article Archive	NjcF3UD8791raFNHh
Newsletter Sponsor Tracker	qSwpqxD1TiPZpLQHv
Open Tender and RFP Finder	kPTGz6t6TFoUUyfaO
Outbound Stack Detector	v43UJC8r7qW7cBSTG
Page Finder and Extractor	TpurgcOZbVnknlaiC
Partner and Member Directory Extractor	ZX0XJPPUvnFJxeC1a
People Finder & Email Verifier	LEgloG7tWgQl4o6TD
Person LinkedIn URL Resolver	ssuyPV8LnEsL8qbnb
Person Social Footprint Mapper	jfQXa2zW9FHCJot9K
Personal Email to Company Resolver	AefT5Ye6YNPFQwJBf
Pinterest Brand Presence Mapper	d1HvjZfKhgvWsoEwn
Podcast Guest and Host Finder	o2MGSvgbSLeeXOsIo
Private Company Funding History	H02K3rQIVOYpnLYc3
Product Hunt Daily Launches with Maker Domains	O4VX63drWK9Y9x641
Property Owner Records	0J7ovG1iaZpQD1P0T
Prospect Engine	q9rT6v64nUJdPexOQ
Public Feature Board and Roadmap Monitor	rcHF5gj5r2Vqnry35
Publishing Frequency Tracker	TbLwaUUATdYb6wp4N
Recent Funding Rounds Feed	KueVp9MOz7iOoAgDp
Reddit Brand Presence Mapper	pKQZmDaT70SEb54bZ
Reddit Search and Thread Scraper	4Gsth5cP2Xt9V2xDN
Reporting Window Finder	uINxR7a1IW8qUTRUX
Research Topic Institutions and Authors	OH8ANqt7bCKbo72Gk
Semrush Domain Metrics	3dqa0abJrpssHtrYL
Sequencer Event Poller	S6s8Rjd61tGdrMRk4
Sequencer Lead Push	0Jv27VeWM5tSZQs9x
Shopify App Store and Chrome Web Store Listings	gaY0BzkLyN77mD3wI
Site Crawler for Links and Tables	lLLJ6JxZ4XqN8ULz0
Streaming Subscription Prices by Country	tbMroS2Zyn57bW17E
Substack Newsletter and Posts Scraper	UEFsdwiPLmPNVy9xd
Team Page People Extractor	j8a9zX0k4mNbvDbWK
Tech Stack Signal Detector	qyd7nNyqFPelQViBx
Tennis Match Data	v3OX6zxXHZOf2yurO
Threads Posts by Keyword, Exact Match	2OT8K8RiEEWtaj2MW
Ticketmaster Event Prices	CrvPX4IwLXQX9bls1
TikTok Brand Presence Mapper	fco8FvoJcSafbeyd1
TikTok Video Stats	uz9Q3cEycRgA6NfqA
Trustpilot Reputation Enricher	3lIqfCt61j4hqE1xz
US and UK Contract Award Winners by Company	zhEtllASykOcx9hJ8
US Import Records Buyer Finder	VIMafpKF5ggOw0COU
VC and Accelerator Portfolio List Builder	chH8hrfuoqqolW06m
Website Accessibility Checker, WCAG 2.2 AA	P3jBj3FRghKEhX52z
Website Phrase and Business Model Classifier	CBuZ9k7sRwBeiKiCS
Website Traffic Rank Estimator	GnOFUzlNVIoXgeJjH
Work Email Waterfall	OT6xqTFThC0Rjf7Zj
Workplace Program Detector	Li6pPDhqbdzFz3h7G
X Brand Presence Mapper	oLOgadhHUkNAyDA3w
YouTube Channel and Video List Scraper	txaAjeBqgj5MStFE4
YouTube Channel Email Finder	IDgKZcmeeuunUbccN
YouTube Channel from Company Domain	6hSpD3kd2s2IQ4VSs
Zillow Listing Details	yG4zM0Enfsw2NefJ1

Every actor in the suite takes a domain or a company and returns one flat row, so they stack in the same Clay table without reshaping anything.

🆘 Support

Something wrong, or a company the actor reads incorrectly? Open an issue on the Issues tab with the domain and the row, and we will look at it.

ℹ️ Sourcing and legal. Every field comes from structured data the company publishes on its own site: schema.org/Organization JSON-LD and HTML meta tags, read over plain HTTP. No paid data provider is called and no personal data is collected; the telephone number is a published company switchboard, not a person's line. You are responsible for how you use the output.

Built by Mamba Labs.