Person LinkedIn URL Resolver

Find a person's LinkedIn profile URL from their name and the company they work at. You get one row per person with the profile URL, the headline and follower count Google shows for it, and a match confidence that says whether the company appears as current or former.

The actor reads Google result pages through the Apify Google SERP proxy and never opens LinkedIn. It needs no LinkedIn account, no cookies, and no API key, so there is no account of yours to restrict.

Rows are flat and snake_case, so they load straight into a spreadsheet, a CRM, or a Clay table.

✨ Features

• Name plus company in. Armon Dadgar and hashicorp.com, or a company name such as HashiCorp.
• A confidence you can filter on. found needs 0.8 or more and a clear lead over every other profile. A likely profile that is not certain comes back ambiguous, with its URL, and is not charged.
• Current or former. company_match says whether the company sits in the headline or a present role (current), is marked prev, ex, or former (former), or is only mentioned.
• Look alike guard. When two profiles share the name and the company, the one Google shows with ten times the followers wins only when the gap is that wide; otherwise you get ambiguous and the runner up's name.
• Never a post. Results that are LinkedIn posts or articles are dropped; only /in/ profile URLs are returned.
• Batch input. Up to 500 persons per run, five at a time.
• One flat price per person searched. found, ambiguous, and not_found rows cost the same; blocked and error rows are free. At most 2 Google result pages per person, so the price never moves with how hard a name is.

📥 Input

Field	Type	Description
full_name	string	First and last name, for example Armon Dadgar
company_domain	string	The company domain, for example hashicorp.com
company_name	string	Optional. The company name as people write it; used instead of the word in the domain
job_title	string	Optional. A headline that agrees gets a small boost
location	string	Optional city or country, a small boost when the snippet agrees
keywords	string	Optional extra words for the Google query
persons	list	Several persons, one per line as Full Name | company.com | job title, or a JSON list of objects. Up to 500
country	string	Google country code, default us
allow_name_only	string	true searches a person with no company. Such a row is never found
max_charge_usd	string	Optional cost cap for the run

Example:

{ "full_name": "Armon Dadgar", "company_domain": "hashicorp.com" }

📤 Output

One row per person. Every row carries every field; a field that does not apply is null.

Field	Example	Notes
full_name, company_domain, company_name, job_title	Armon Dadgar, hashicorp.com	What you entered
linkedin_url	https://www.linkedin.com/in/armon-dadgar	For found and ambiguous rows
linkedin_slug	armon-dadgar
match_status	found	found, ambiguous, not_found, blocked
match_confidence	1	0 to 1
name_match	exact	exact, first_last, initial, none
company_match	current	current, former, mentioned, none, not_given
profile_name, profile_headline	Co-Founder and CTO of HashiCorp	As Google shows them
profile_snippet, profile_location		The Google snippet, and the location when it prints one
profile_followers	28800	Rounded as Google prints it
candidates_count	9	Profile results scored
runner_up_name, runner_up_confidence	Alex Dadgar, 0.4	The next best profile
search_requests	1	Google result pages read for this person
row_status	ok	ok, no_match, blocked, error
error_reason	null	Why a row is not ok
billable_events_json	{"person-searched":1}	What the row was billed as; {} is free
source, checked_at	google_search_results

No email address, phone number, or street address is returned. There is no field for one.

📏 Measured accuracy

Measured on 2026-10-21 over four runs of 20 named public people (founders, executives, and engineers at 18 companies) plus two common name controls:

• Precision: 45 of 45 found profiles were the right person, checked by hand or matched to a hand checked URL.
• Hit rate: 11 of 20 named people found on the latest build, which reads at most 2 Google result pages per person; 13 of 20 on the build before it, which read up to 6. 3 of 22 came back blocked (free) when Google did not answer on both page requests. The rest came back ambiguous (the right URL with a former or unconfirmed company, for example a founder who has left) or not_found (a profile Google does not show for the name).
• Common name controls: 0 of 6 marked found. Jane Smith at acme.com and John Smith at ibm.com came back ambiguous or not_found in every run.
• Speed: about 10 s per person on average with five persons at a time; a single Google page takes 2 to 40 s through the SERP proxy.

💵 Pricing

Pay per event. You pay once for each input person searched, plus a small start fee per run.

Event	Free plan	Bronze	Silver	Gold
Person searched (person-searched), per input person	$0.03500 ($35.00 per 1,000)	$0.03325 ($33.25 per 1,000)	$0.03150 ($31.50 per 1,000)	$0.02975 ($29.75 per 1,000)
Actor start (apify-actor-start), per run	$0.0005	$0.0005	$0.0005	$0.0005

• found, ambiguous, and not_found rows each cost one person searched. blocked rows (Google did not answer) and error rows cost nothing.
• Each person costs Mamba Labs one or two Google result pages through the Apify SERP proxy, found or not. The actor reads at most 2 pages per person, retries included.
• A run stops at the maximum cost per run you set in Apify, and at max_charge_usd if you set it.
• Free Apify plan: 1.50 USD of evaluation a month, which is 42 persons searched at the free plan price. Any paid Apify plan removes the cap.
• The events above are all you pay this actor. Mamba Labs pays the platform costs of your run, Apify proxy traffic included.

🚀 Usage examples

Console or API. POST https://api.apify.com/v2/acts/mambalabs~person-linkedin-url-resolver/runs with the input above, then read the default dataset.

Batch.

{ "persons": ["Armon Dadgar | hashicorp.com", "Kipp Bodnar | hubspot.com | CMO", "Zeno Rocha | Resend"] }

Clay. Call the actor from a Clay column with the name column mapped to full_name and the domain column to company_domain. Clay sends every field as a string, which this actor expects. Filter on match_status = found, or on match_confidence.

MCP. The @mambalabsdev/mcp-person-linkedin-url-resolver server exposes the tool resolve_person_linkedin_url to AI agents.

⚠️ Error handling

Situation	What you get
No profile with the name and company	One row, match_status not_found, charged as one person searched
A likely profile that is not certain	ambiguous, with the URL, its confidence, and the runner up; charged as one person searched
Google does not answer through the proxy	Up to three attempts per query on fresh proxy sessions, then a free blocked row
A result link that is a post, not a profile	The next result is tried
Anything else	One free error row with the reason

⚠️ Limitations and responsible use

• Only profiles Google has indexed can be found. Some people hide their profile from search engines; they return not_found.
• A headline Google cached can be out of date. company_match reads the headline and snippet Google shows, not the live profile.
• A name with no company (allow_name_only) is never marked found.
• LinkedIn is never opened. The profile URL is the redirect target of the Google result link, read without following it.
• You are the data controller under GDPR, CCPA, and applicable privacy laws for the rows you collect, and you are responsible for using them within LinkedIn's and your own market's rules on contacting people. The actor keeps no personal data after the run.

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

🛠️ Need something custom built? Talk to Mamba Labs.

🆘 Support

Found a bug? Open an issue on the Issues tab. Response time is typically within 48 hours.

ℹ️ Sourcing. Profile URLs, names, headlines, and follower counts come from Google result pages read through the Apify Google SERP proxy. You are responsible for how you use the output.

Built by Mamba Labs.