Domain to LinkedIn URL Resolver

🔗 What can Domain to LinkedIn URL Resolver do?

Give it a company domain or name, or a list of domains in one run, and it returns each company's LinkedIn company URL, with social URLs and optional firmographics in the same flat row.

It returns a LinkedIn URL only when it can verify the page belongs to the company: the company's own homepage links it, or the page's name is identical to the name the company site declares, or to the name you provide. When nothing verifies a page, the row returns no URL and says why, rather than a guess. It never requests a page on LinkedIn itself. Every row carries confidence, confidence_score, and verification so you know how much to trust it.

📦 What you get	⚙️ Features and integrations
🔗 LinkedIn company URL and slug, verified before it is returned 💯 confidence, confidence_score, and verification on every row 🌐 Facebook, Instagram, X and YouTube URLs 🧾 24 flat fields, snake_case, one row per company	📚 Batch mode, a list of domains in one run, one row each 🏠 The company's own homepage read first for its LinkedIn link 🎚️ minConfidenceScore, a floor you set, below which no URL is returned 🧬 Firmographics from search snippets, optional ⬇️ Export to JSON, CSV, Excel, HTML or XML

Bought by Clay users and RevOps teams whose LinkedIn URL column has gaps, and by anyone who needs a LinkedIn anchor before a social or ABM workflow.

🚫 Every field is best-effort and nullable. When a source is blocked, rate-limited, or simply does not carry the data for a company, the field returns null rather than a guess. Breakage shows up as null, never as a wrong value. Gate downstream logic on presence, not on assuming every row is complete.

💡 Why use Domain to LinkedIn URL Resolver?

If you want	Read these fields
The LinkedIn page	linkedin_company_url, linkedin_slug
To know whether to trust it	confidence, confidence_score, verification, resolution_method
To know whether a miss is real	degraded, degradation_reason
Other social profiles	facebook_url, instagram_url, twitter_url, youtube_url
Company size and sector	employee_count_approx, industry, hq_location
Audience and copy	follower_count, company_description

💯 confidence and resolution_method, and how to use them

resolution_method tells you how the URL was found:

Value	Means
homepage_link	The company's own homepage links the page, in its structured data (sameAs) or a plain link. The most reliable answer.
pattern_match	A verified search result whose slug is one the domain implies.
google_search	A verified search result whose slug is not one the domain implies. The value stays google_search for Clay column compatibility; the engines are Brave and Bing.
not_found	No page verified. verification names the best candidate and why it was not returned. Read degraded before you treat it as an answer.
error	No valid input was provided, or the lookup failed for this row.

confidence_score (0 to 100) comes from the evidence that the page belongs to this company, not from how the page was found:

Score	Evidence
95	The homepage declares the page in its structured data (sameAs)
92	The homepage links the page
85	The page's name is identical to the name the company site declares
80	The page's name is identical to the company name you provided
75	The slug is one the domain implies and the page's name is identical to the domain name, and the domain exists
55 or less	Not verified. No URL is returned.

"Identical" means equal after lowercasing and removing punctuation and legal words such as Inc, Ltd, and Group. "City of Cambridge" is not "Cambridge", so cambridge.org does not return the city's page.

confidence is the same score in words: high at 85 and up, medium from 70 to 84, low below.

minConfidenceScore (default 70) is the floor. A page scoring under it is not returned. Raise it for fewer, surer answers; lower it for more answers and more wrong ones.

Pass high rows straight to enrichment. Review medium. Treat not_found as "not verified", and read verification to see what was found and why it was held back.

🚩 slug_mismatch is a quality flag, not an error

It is true when the resolved slug differs from the one derived from the domain. brex.com derives the stem brex, but the live page is /company/brexhq, so slug_mismatch is true.

That is the resolver landing on a non-obvious slug and telling you so. Useful when spot-checking a batch.

🧯 What a blocked row and a summary row mean

A not_found row with degraded: false is an answer: the search engines replied and none of them carried a LinkedIn company page for this company.

A not_found row with degraded: true is not an answer. Its degradation_reason starts with blocked: when every search engine refused the request, or timed_out: when the run ran out of time before one replied. It says "This is not a confirmed absence." Rerun those rows.

A run that writes no company row at all, for example because the run budget ran out before the first row, writes one summary row instead and still finishes successfully. It has no company_domain, degraded: true, and a degradation_reason that starts with run_outcome= (no_results, blocked, or timed_out), then names the search engines reached and blocked, the run ID, and the build. It is never a company.

When the run's time is nearly spent, the actor stops starting new rows, keeps every row it already wrote, and says how many rows it did not start in the run's status message.

▶️ Ready-to-run examples

Example	What it does
Find a LinkedIn Company URL from a Domain	The core job
Get a LinkedIn URL from a Company Name	Name-only input
Domain to LinkedIn with Firmographics	URL plus company data
Company Domain to Social Media URLs	All four social platforms
Force a Fresh Re-resolution	Bypass the cache
Resolve a Batch of Domains to LinkedIn URLs	Many domains, one run, one row each

📋 What data can Domain to LinkedIn URL Resolver extract?

19 fields per company, plus the five bookkeeping fields described under Output.

Field	What it holds
linkedin_company_url, linkedin_slug	The resolved page
resolution_method, confidence, slug_mismatch	How it was found and how much to trust it
facebook_url, instagram_url, twitter_url, youtube_url	Other social profiles
employee_count_approx, industry, hq_location	Firmographics, when includeFirmographics is on
follower_count	LinkedIn audience size, as the search snippet states it
company_name, company_description	Identity and copy
company_domain, run_date	Input echo and bookkeeping

⚠️ Firmographics come from search result snippets about the LinkedIn page, not from the page. follower_count and company_description fill for most established companies. industry, employee_count_approx and hq_location fill only when a snippet states them, which is uncommon. A null means "not in the snippet", never "zero". The output has no logo or founding year field: search snippets do not carry them.

⚠️ false and null mean different things on every row. false is a measurement: the actor looked and the answer was no. null is the absence of one: the actor could not look. When something it needed fails, the row comes back with degraded: true, a plain-language degradation_reason, and every field it could not measure set to null rather than to a confident false or 0. Filter on degraded before you trust a negative.

🛠️ How to find a company's LinkedIn URL from its domain

1. Open the Input tab and put a bare domain in company_domain.
2. Add company_name if you have it. It sharpens the search.
3. Set includeFirmographics to "true" if you want company data as well as the URL.
4. Click Start.
5. Filter on confidence and spot-check anything with slug_mismatch: true.

The Input tab opens with stripe.com and Stripe filled in. That run returns one row: https://www.linkedin.com/company/stripe, pattern_match, high.

📚 Batch mode: many domains in one run

Put a list of bare domains in domains, one per line, and click Start. Every domain runs the same resolution path as a single lookup and writes its own row, in input order, with its own resolution_method and confidence. A domain that fails returns an error row with degradation_reason set and the rest of the batch continues. A domain listed twice is looked up once and written twice.

{
  "domains": ["stripe.com", "notion.so", "figma.com", "linear.app", "vercel.com"],
  "batchSize": 2
}

Returns five rows, one per domain (measured on 2026-10-12 against the search path):

company_domain	linkedin_company_url	resolution_method	confidence
stripe.com	https://www.linkedin.com/company/stripe	pattern_match	high
notion.so	https://www.linkedin.com/company/notionhq	pattern_match	high
figma.com	https://www.linkedin.com/company/figma	pattern_match	high
linear.app	https://www.linkedin.com/company/linear	pattern_match	high
vercel.com	https://www.linkedin.com/company/vercel	pattern_match	high

batchSize is how many domains resolve at the same time (default 2, maximum 10). Raise it for speed only if you accept more degraded rows when a search engine starts refusing. When domains has at least one entry it takes precedence over company_domain and company_name. The price per row is the same as a single lookup; a batch pays the Actor start event once per run instead of once per domain. From the API, the same input works with POST /v2/acts/mambalabs~domain-to-linkedin-url-resolver/runs.

🧪 Using it in Clay

Add an Apify enrichment column and map your domain column to company_domain. Every input is accepted as a string, which is what Clay sends.

Build a view filtered on confidence = "high" and route the rest to review. A row with no URL is not a failure: it is the actor declining to guess.

🧭 How resolution works

1. The actor reads the company's own homepage once. A LinkedIn company page the homepage declares (sameAs) or links is returned as homepage_link, and no search runs.
2. Otherwise it runs one Brave search restricted to linkedin.com/company, on the datacenter pool first and a residential IP second, and scores every LinkedIn page in the results against the name the homepage declares, the name you provided, and the domain.
3. When no Brave result clears the floor, it runs up to two Bing searches and scores those too.
4. The best page is returned only when its score is at least minConfidenceScore. Otherwise the row is not_found and verification says what was seen and why it was held back.
5. When every engine refuses, the row is not_found with degraded: true and says so.

No request is sent to LinkedIn at any step. Firmographics, when enabled, are read from the Brave result snippets about the chosen LinkedIn page, with the Bing snippet as a fallback. Social URLs come from a single search query with a site: restriction per platform, which stops a "share on LinkedIn" link inside a Facebook result from producing a cross-platform false positive.

Every request is capped by the time left in the run, so a slow search engine cannot run the clock out.

💵 How much does it cost to resolve a LinkedIn URL?

You are charged once per row written.

Plan	Per company	Per 1,000 companies
Free	$0.006	$6.00
Bronze	$0.0057	$5.70
Silver	$0.0054	$5.40
Gold	$0.0051	$5.10

There is also an Actor start event at $0.00005, charged once per run per GB of memory. A batch run pays it once for the whole list.

Free Apify plans get 250 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.

💳 Every row written is billed, including not_found, degraded, and summary rows. This actor is priced per dataset row. A not_found row with degraded: false is a real answer. A degraded row or a summary row is billed the same way, so filter on degraded and rerun those inputs rather than paying for them twice in a downstream step. Turning includeFirmographics on does not change the price; it can add one more search and makes the run slower.

📅 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.

⌨️ Input

Everything is on the Input tab. Provide at least one of the first two.

Field	Type	Default	What it does
company_domain	string	none	Bare domain. Pattern matching needs this.
company_name	string	none	Sharpens the search. Name-only input skips pattern matching.
includeFirmographics	string	"false"	"true" also reads company data from search snippets about the LinkedIn page.
skipCache	string	"false"	"true" forces a fresh resolution.
domains	array of strings	none	Batch mode. One row per domain; takes precedence over the two single fields when it has at least one entry.
batchSize	integer	2	Domains resolved concurrently per wave in batch mode, 1 to 10. Higher values meet search refusals sooner (see Batch mode).
minConfidenceScore	string	"70"	The floor, 0 to 100. A LinkedIn page scoring under it is not returned. See the score table above.
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 company, exportable as JSON, CSV, Excel, HTML or XML. This row is brex.com with includeFirmographics on:

{
  "company_domain": "brex.com",
  "company_name": "Brex",
  "linkedin_company_url": "https://www.linkedin.com/company/brexhq",
  "linkedin_slug": "brexhq",
  "resolution_method": "homepage_link",
  "confidence": "high",
  "confidence_score": 95,
  "verification": "verified: the company homepage declares this page in its structured data (sameAs) (score 95)",
  "slug_mismatch": true,
  "degraded": false,
  "degradation_reason": null,
  "facebook_url": "https://www.facebook.com/brexhq",
  "instagram_url": "https://www.instagram.com/brexhq",
  "twitter_url": "https://twitter.com/brexHQ",
  "youtube_url": null,
  "employee_count_approx": null,
  "industry": null,
  "hq_location": null,
  "follower_count": "161,048",
  "company_description": "Brex makes it easy for companies from startups to global enterprises to manage all their spend in one place, in real time.",
  "run_date": "2026-10-12T06:30:00.000Z",
  "row_status": "ok",
  "error_reason": null,
  "billable_events_json": "[{\"event\":\"apify-default-dataset-item\",\"count\":1}]"
}

🧾 More fields on every row

Field	Type	What it holds
confidence_score	integer	0 to 100, the evidence score behind confidence. On a row with no URL, the best candidate's score. Null on a degraded row.
verification	string	For a returned URL, the evidence that verified it. For a row with no URL, the best candidate and why it was not returned.
degraded, degradation_reason	boolean, string	true and a plain-language reason when a search engine refused or the run ran out of time, so a miss is not a confirmed absence. false and null otherwise.
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

• Filter on confidence = "high" before anything automated touches the URL.
• Filter on degraded = true and rerun those inputs: a blocked lookup is not a missing page.
• Have a list already? Put it in domains and run once. One row per domain, same price per row, one Actor start event instead of one per domain.
• Leave includeFirmographics off when you only need the URL. It is faster and costs the same.
• Supply both domain and name where you have them. Pattern matching needs the domain; the search works better with the name.
• Treat a sustained pattern of one field going null across many rows (every row missing follower_count for a week, say) as a provider-side change worth flagging rather than a data problem on your side.

⚠️ Known limits

The URL is only as current as the search index. A page renamed or created in the last few days may not appear yet, and a deleted page can still appear until the index drops it.

Firmographics are snippet deep. industry, employee_count_approx and hq_location are usually null, because a search snippet rarely carries them. There is no logo or founding year field.

Search engines can refuse a proxy pool. Each engine gets two attempts on fresh IPs, and Brave and Bing meter separately, which defeats the common case. A persistent block across both shows up as a not_found row with degraded: true and a blocked: reason, never as a quiet miss.

Verification trades fill for accuracy. On a 111 company test set the share of rows with a URL fell from 98 percent to 77 percent when verification shipped on 2026-10-12, and the share of rows with a wrong URL fell from 33 percent to 14 percent. A company whose site blocks automated visits, whose site declares a different name from its LinkedIn page, and who links no LinkedIn page, comes back not_found.

Name-only input skips the homepage step, so a URL is returned only when the page's name is identical to the name you provided.

❓ FAQ

Does it visit LinkedIn?

No. Since 2026-10-12 the actor sends no request to linkedin.com. The URL, the follower count, and the description come from public search results that link to the LinkedIn page.

Why does resolution_method say google_search when you use Brave and Bing?

The value is kept for Clay column compatibility with existing tables. The engines behind it are Brave and Bing.

What does slug_mismatch: true mean? Did something go wrong?

No. It means the live LinkedIn slug is not the one the domain implies, like brexhq for brex.com. It is a spot-check flag, not an error.

Why is follower_count null but the URL resolved?

Firmographics are read only when includeFirmographics is on, and only from what the search snippets state. The URL resolves independently.

Can I pass a company name with no domain?

Yes. Without a domain there is no homepage to read, so a URL is returned only when a LinkedIn page's name is identical to the name you provided (score 80).

Can I resolve many domains in one run?

Yes. Put the list in domains (one per line in the Console, a JSON array from the API) and every domain gets its own row. A failed domain returns an error row and does not stop the batch.

Does it read personal LinkedIn profiles?

No. Company pages only, and only as search results.

🧩 Want other GTM data?

Mamba Labs builds custom actors for B2B go-to-market teams. The public versions of that work live here on the Store, so our users get the same tooling we build under contract.

🔭 Account Hiring Watch	🕵️ Agent Accessibility Auditor
🤖 AI Tooling Detector	📡 GTM Signals Aggregator
🚀 Prospect Engine	📝 Publishing Frequency Tracker
🦋 Bluesky Brand Presence Mapper	🔀 Career Change Signal Engine
⏩ Sequencer Lead Push	🔄 Company Change Event Feed
📇 Company Contact Details Extractor	🧭 Company Discovery List Builder
🏢 Company Firmographic Enricher	🪪 Company Identity Resolver
🌐 Company Social Presence Mapper	🏷️ Contact Classifier
📈 Influencer Change Monitor	🔎 Influencer Finder
🧾 Influencer Lead List Builder	👤 Influencer Profile Scraper
📬 Domain Deliverability Checker	🛒 Ecommerce Platform Profiler
✉️ Work Email Waterfall	🎪 Event Presence Index
⚖️ Expert Witness Directory	💵 Company Funding Record
💰 Funding and Press Signal Scanner	🐙 GitHub Organization Signal Scanner
🧑‍💼 GTM Hiring Signal Scraper	📋 Job Posting Monitor
🧱 Tech Stack Signal Detector	🎯 ICP Fit Scorer
🔑 Job Board Keyword Signal Scanner	🔁 Job Change Tracker
🏛️ Legal Entity Resolver	📰 Link in Bio Scraper and Newsletter Detector
💼 LinkedIn Company Page Mapper	💬 LinkedIn Post Tracker
📢 Meta Ad Library Monitor	📸 Instagram Facebook Brand Presence Mapper
🆕 New Hire Finder	📮 Outbound Stack Detector
📄 Page Finder and Extractor	🧑 People Finder & Email Verifier
📌 Pinterest Brand Presence Mapper	🏆 Government Contract Award Monitor
📅 Reporting Window Finder	👽 Reddit Brand Presence Mapper
⭐ Trustpilot Reputation Enricher	🤝 Influencer Talent Agency Lookup
👥 Team Page People Extractor	🎵 TikTok Brand Presence Mapper
📊 Website Traffic Rank Estimator	🏅 Workplace Program Detector
✖️ X Brand Presence Mapper	▶️ YouTube Channel Stats Extractor

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.

🛠️ Need something custom built for you or your team? Tell us what you are trying to find and we will build it. Talk to Mamba Labs.

🆘 Support

Found a bug or a company that resolves incorrectly? Open an issue on the Issues tab with the domain and the row, and we will look at it.

ℹ️ Sourcing and legal. No request is sent to LinkedIn. The LinkedIn URL and the firmographic snippet come from public Brave and Bing search results, and social URLs from public search with a per-platform site: restriction. No login is used and no personal profiles are read: company pages only, as search results. You are responsible for how you use the output.

⚖️ Unofficial

This actor is unofficial. It is not affiliated with, sponsored by, or endorsed by LinkedIn, Microsoft, Bing, DuckDuckGo or Brave. It reads publicly available search results only, with no account and no authenticated session.

Built by Mamba Labs.