Bulk LinkedIn Profile Enrichment | No Cookies | from $2.996/1k

Pay per result: $3.963/1k on the Free plan down to $2.996/1k on Gold. Free Apify plan: up to 100 per run, as many runs as your credit covers. Misses and notices are free.

Bulk LinkedIn profile enrichment from a list or a pasted CSV: give profile links, get one fresh row per person with name, headline, current title, company, seniority, location and tenure. Up to 10,000 profiles per run, no LinkedIn account, no cookies, works through the API, MCP and schedules.

No login | Paste a CSV or a list | Profile URL, short URL or bare slug | One row per profile | Up to 10,000 per run | JSON/CSV export

Not a scraper of linkedin.com. The actor never opens a LinkedIn page. Each row is read from a profile database by the profile address you supply. Not affiliated with LinkedIn.

See all actors by b2bdata

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💳 Pricing and plans

Pay per result, see the Pricing tab. Free Apify accounts can try it: up to USD 1 of results in the 14 days after their first run of this actor, then a paid Apify plan is needed. Normal Apify platform usage applies.

Event	When it is charged	Free plan, per 1,000	Gold plan, per 1,000
profile	One profile found and delivered as a row	$3.963	$3.052

Bronze and Silver prices sit in between and are on the Pricing tab. Higher Apify plans only lower the price. The free plan's $5 credit covers about 1,261 profiles at the free-plan price.

Success-only billing

You pay for delivered rows only.

• A profile that is not found is free.
• A failed lookup is free.
• An input that is not a LinkedIn profile link is skipped and is free.
• A notice row (for example free_plan_limit) is free.
• An empty run is free, and there is no start fee.

Each delivered profile is one profile event, charged right before the row is saved.

The free plan

Free Apify accounts get up to 100 inputs looked up per run, and as many runs as their Apify credit covers. Nothing is stored on our side. When a list is longer, the first 100 are looked up and one free notice row (reason: "free_plan_limit") says how many inputs were not looked up. Paid Apify plans have no per-run limit.

Keep a run small while you test

Use limit to cap the number of profiles. The default is 100. Run 3 to 5 profiles first, read the rows, then scale up. You can also set a spend cap for a run with the hidden maxChargeUsd field in the API input.

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⚖️ This vs. the alternatives

	This actor	Cookie-based extension tools	Other Store profile scrapers
LinkedIn account needed	No	Yes (your own session)	Varies by actor
Your account at risk	No, it is never used	Yes	Varies by actor
Input	List or pasted CSV, any link form	Open page or URL list	URL list
Per call to the data source	25 profiles	n/a	Varies
Output	One flat row per profile, fixed keys	Varies	Varies
Misses	Free and listed in MISSES	n/a	Varies
Duplicates in your list	Collapsed, charged once	Not handled	Varies

Public Store prices per 1,000 profiles, FREE tier, read from the public Store pages on 2026-10-13. Check the pages for current prices.

Actor	Per 1,000 profiles
This actor	$3.963
harvestapi profile scraper	$4
apimaestro profile batch scraper	$5
anchor profile enrichment	$6, plus a start fee and a runtime fee per run
dev_fusion profile scraper	$10

We compare on price only and make no claim about the other actors beyond that. Field lists differ between actors, so check that the columns you need are in the row before you compare cost.

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🧩 Richer data when you need it

The default row is compact and fast: name, headline, current title, company, location and tenure. Nothing changes for existing runs. Add the include input to get more per profile, at the same price (profile event, unchanged). The groups are never a condition for charging a row.

include value	Adds to each row
career	experience[] (work history), volunteerExperience[], education[], skills[], organizations[]
details	about, industry, followersCount, profileImageUrl, backgroundImageUrl
credentials	certifications[], languages, honors, projects, courses, testScores, publications, patents
social	recommendations[], interests, articles[], groups[]
location	city, state, stateFullName, countryFullName, countryIso3
links	linkedinUrl, githubUrl, twitterUrl, facebookUrl, websiteUrl, hasPhone (true/false only)
currentJob	currentCompanyLinkedinId, currentCompanyLogoUrl (expiring link), currentJobStartDate, currentJobDescription, currentJobLocation, currentEmploymentType[], currentJobFunction[], currentSeniority[], jobTitleNormalized
analytics	seniorityLevel, isDecisionMaker, averageTenureYears, skillsCount, educationCount, experienceCount, certificationsCount, languagesCount, companiesCount, highestDegree
network	relatedProfiles[] (up to 10), similarNames[] (up to 10), activities[]
quality	dataQualityPublicExperienceAvailable, sectionsIncluded[]
companyDetails	Fields about the current employer, prefixed company (see Company details below)
all	Every group above at once, including companyDetails

Example input: {"items": ["https://www.linkedin.com/in/jane-example"], "include": ["career", "details"]}. Fields a profile does not have are left out; empty lists are omitted.

Only fields the source actually holds are returned; nothing is padded or duplicated. Measured on 2026-10-13 on three public profiles (non-empty top-level fields per row, empty values, zeros and false flags not counted): deep mode with include: ["all"] returned 67, 62 and 72; the compact fast mode with include: ["all"] returned 37, 38 and 40; the rival data-slayer/linkedin-profile-scraper returned 51, 52 and 49 for the same three profiles. Three profiles is a small test, not a statistic.

Image links (profileImageUrl, backgroundImageUrl, currentCompanyLogoUrl) are time-limited and expire. Download the pictures soon after the run if you need them.

Image links (profileImageUrl, backgroundImageUrl, currentCompanyLogoUrl, companyLogoUrl) expire; see above.

---|---|---| | Experience and education lists | Yes, when include has career | Yes | | Profile pictures | Yes, when include has details | Yes | | Default row | Compact and fast | Full | | Price per profile | $0.003963 (free plan) | about $0.004 |

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🔬 Deep mode: the most data per LinkedIn profile

Set depth to deep to get the richest rows. Two routes, same price (profile event, same charge rules):

	compact (default)	deep
Route	Fast bulk route, 25 profiles per upstream call	One upstream call per profile
Speed (upstream pacing; estimate, unverified)	about 1,500 profiles per minute	about 60 profiles per minute
Data	The sections the bulk route returns	Everything the single-profile route returns, for example more education and related-profile detail
Misses	Free, listed in MISSES	Free; a profile that does not exist (404) is not_found

Use compact for big CRM refreshes and weekly re-checks of thousands of profiles. Use deep for smaller lists (a few hundred) where you want every field, for example before outreach or account research. depth and include are independent: deep does not turn on any group by itself, and include: ["all"] does not switch the route. For the most data per row, send "depth": "deep" together with "include": ["all"].

Example input: {"items": ["https://www.linkedin.com/in/jane-example"], "depth": "deep", "include": ["all"]}. Time estimates come from the upstream rate limits (4 requests every 4 seconds), not from a measured run; a 1,000-profile deep run takes about 17 minutes by that limit.

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🏢 Company details: employer data on every LinkedIn profile row

Add companyDetails to include (or use all) to attach data about the person's current employer. The actor takes the current job (the one with no end date), looks the company up once per run (cached, so 500 people at the same company cost one company lookup), and adds flat fields prefixed company:

companyName, companyWebsite, companyIndustry, companyType, companyDescription, companyTagline, companySpecialities[], companyEmployeeRange ([min, max], null max = open-ended), companyEmployeesOnLinkedin, companyFollowers, companyFoundedYear, companyHqLine1, companyHqCity, companyHqState, companyHqCountry, companyHqPostalCode, companyLocationsCount, companyLogoUrl (expiring link), companyLinkedinUrl, companyCrunchbaseUrl, companyTotalFundingUsd, companyFundingRounds, companyInvestors, companyStockSymbol, companyIpoStatus, and companyFundingData[] / companyAcquisitions[] when present.

• Real values only: a field the company record does not hold is left out.
• If the person has no current job, no company id, or the company cannot be found or looked up, the company fields are simply missing. The profile row is still delivered and charged as usual.
• The company lookup is part of the same profile price in this actor's pricing. Company lookups share the upstream rate budget, so a list with many different employers runs slower.
• Works with both compact and deep. companyLogoUrl expires, download it soon.

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⚡ Why this bulk LinkedIn profile scraper?

• Built for lists. Paste links one per line or paste a whole CSV. Profile links in any column are picked up, the other columns are ignored.
• Batched lookups. Profiles go to the data source 25 per call, four calls at a time, paced under its rate limit.
• No login, no cookies. Nothing of yours is exposed and nothing can get banned.
• Forgiving input. https://www.linkedin.com/in/slug, linkedin.com/in/slug and plain slug all work. Query strings and trailing slashes are stripped.
• Order kept, duplicates collapsed. The same person written two ways is looked up once and billed once.
• Each row says when it was read. scrapedAt and inputQuery are on every row, so you can match rows back to your sheet.
• Honest misses. Every input that did not turn into a row is listed with a reason in the MISSES record, and none of them cost anything.
• Strict input. An unknown field fails the run at once with "remove unsupported fields", before anything is charged.

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🎯 Use cases: refresh contact list, follow up, map accounts

• CRM refresh. Re-run the LinkedIn links in your CRM export every quarter and update title and company by profileUrl.
• Event follow-up. Turn a scanned-badge or attendee CSV into current roles and seniority before the sales team writes.
• Account mapping. Check who in a buying group is a VP or above across hundreds of accounts in one run.
• Recruiting lists. Convert a shortlist of candidate links into a table with current role, tenure and total experience.
• Lead scoring inputs. Add seniority, tenureYears and department as features to a scoring model.
• Agent tool. Let an AI agent resolve a whole list of profile links to structured facts with one call.

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🔗 Pipeline guide: from a list of links to a contact

Names or a target list, no URLs yet
        |
        v
 [1] linkedin-people-search / linkedin-person-search   -> profile URLs
        |
        v
 [2] bulk-linkedin-profile-enrichment (this actor)               -> one row per profile
        |
        v
 [3] email-phone-finder                                -> phone numbers and emails from name + company

Step 1 is only needed when you have no links. For one or two profiles with emails on file, use linkedin-profile-by-url instead. All actors are on the publisher page: See all actors by b2bdata.

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🚀 Quick start

Open the actor, paste your links or your CSV, press Start. Or send JSON. Three examples:

1. A short list

{
  "items": [
    "https://www.linkedin.com/in/jane-example",
    "linkedin.com/in/john-sample",
    "casey-demo"
  ],
  "limit": 3
}

2. LinkedIn CSV enrichment: a pasted CSV

{
  "csvText": "name,company,linkedin\nJane Example,Example Group,https://www.linkedin.com/in/jane-example\nJohn Sample,Sample Inc,https://www.linkedin.com/in/john-sample",
  "limit": 0
}

3. A big batch with the audit view

{
  "items": ["https://www.linkedin.com/in/jane-example", "https://www.linkedin.com/in/john-sample"],
  "limit": 10000,
  "includeAudit": true
}

In a real run, items holds your own links and csvText holds your own file. The slugs above are placeholders.

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⚙️ Inputs

Step 1: give links in items, in csvText, or both. Step 2: set limit. Any field not listed here is rejected.

Parameter	Type	Required	Default	Description
items	string list	One of items or csvText	prefilled with an example link	LinkedIn profile links, one per entry. Accepted: https://www.linkedin.com/in/slug, linkedin.com/in/slug, or just the slug.
csvText	text	One of items or csvText	none	CSV text. Every LinkedIn profile link in any column is used. Bare words and other columns are ignored. Added after items.
limit	integer	No	100	How many profiles to look up, 0 to 10,000. 0 means all of them, up to 10,000. A value above 10,000 is rejected with a message, never silently cut.
include	list of text	No	[]	Extra data groups per row: career, details, credentials, social, location, links, currentJob, analytics, network, quality, companyDetails, all (see Richer data when you need it). Empty = the compact default row. Any other value fails the run, nothing charged.
depth	text	No	compact	compact = fast bulk route (about 1,500 profiles/min, estimate). deep = one call per profile (about 60 profiles/min, estimate), the most data per row. Same price. Independent of include. See Deep mode.
includeAudit	boolean	No	false	Adds an audit object to each row: requestId, batchUnitsCharged, latencyMs, inputRaw, inputCanonical.
maxChargeUsd	number	No	none	Hidden field for API use. Stops the run once this much has been charged.
sourceTag	text	No	none	Hidden field for API use. Free text echoed in every row and in the run summary.

Tips:

• Entries that are not profile links (a company page, a search URL, free text with spaces) are skipped and cost nothing.
• Duplicates are collapsed after the link is cleaned up, in the order you sent them. Entries past limit are not looked up.
• Over 10,000 profiles: split the list into several runs.

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📤 Output

One dataset row per profile found. Illustrative values, not a real person:

{
  "profileUrl": "https://www.linkedin.com/in/jane-example",
  "slug": "jane-example",
  "firstName": "Jane",
  "lastName": "Example",
  "fullName": "Jane Example",
  "headline": "VP Sales at Example Group",
  "jobTitle": "VP Sales",
  "company": "Example Group",
  "location": "Example City, Example Region",
  "country": "US",
  "startYear": 2021,
  "tenureYears": 4.5,
  "totalExperienceYears": 15,
  "connections": 500,
  "updatedAt": "2026-01-01 00:00:00.000Z",
  "scrapedAt": "2026-10-13T08:00:00.000Z",
  "inputQuery": "https://www.linkedin.com/in/jane-example"
}

Fields you might see, when present:

Key	Type	When it is missing
profileUrl, slug	string	Always present on a row
firstName, lastName, fullName	string	Not public
headline	string	None set
jobTitle, company	string	No current role, or not available
department	string	Conditional: not seen in our test rows; appears only when available
seniority	cxo, vp, director, manager, founder, other	Conditional: not in the 18 keys of our test rows; appears only when the source holds a role level
location	string	Not public
country	ISO-2 code	Not public
startYear	integer	No current role
tenureYears, totalExperienceYears	number	Not computable
connections	integer	Hidden
hasWorkEmail, hasPersonalEmail	boolean	Conditional: not seen in our test rows; appears only when the source knows
updatedAt	datetime string, like 2026-04-02 23:03:37.529Z	Not available
scrapedAt, inputQuery	datetime, string	Always present
sourceTag	string	Only when you set it
experience[], volunteerExperience[], education[], skills[]	arrays	Only when requested (include: career) and present
about, industry, followersCount, profileImageUrl, backgroundImageUrl	string, integer	Only when requested (include: details) and present; image links expire
certifications[], languages, honors, projects, courses, testScores, publications, patents	arrays	Only when requested (include: credentials) and present
recommendations[], interests, articles[], groups[]	array, string	Only when requested (include: social) and present
city, state, stateFullName, countryFullName, countryIso3	strings	Only when requested (include: location) and present
linkedinUrl, githubUrl, twitterUrl, facebookUrl, websiteUrl	strings	Only when requested (include: links) and present
hasPhone	boolean	Only when requested (include: links); true or false, no number
currentCompanyLinkedinId, currentCompanyLogoUrl, currentJobStartDate, currentJobDescription, currentJobLocation, jobTitleNormalized	strings	Only when requested (include: currentJob) and present; logo link expires
currentEmploymentType[], currentJobFunction[], currentSeniority[]	arrays	Only when requested (include: currentJob) and present
seniorityLevel, isDecisionMaker, averageTenureYears, highestDegree	string, boolean, number	Only when requested (include: analytics) and present
skillsCount, educationCount, experienceCount, certificationsCount, languagesCount, companiesCount	integers	Only when requested (include: analytics) and present
relatedProfiles[], similarNames[], activities[]	arrays	Only when requested (include: network) and present
dataQualityPublicExperienceAvailable, sectionsIncluded[]	boolean, array	Only when requested (include: quality) and present
organizations[]	array	Only when requested (include: career) and present
companyName, companyWebsite, companyIndustry, companyType, companyDescription, companyTagline, companyHqLine1, companyHqCity, companyHqState, companyHqCountry, companyHqPostalCode, companyLogoUrl, companyLinkedinUrl, companyCrunchbaseUrl, companyStockSymbol, companyIpoStatus	strings	Only when requested (include: companyDetails) and present; logo link expires
companyEmployeeRange[], companySpecialities[], companyFundingData[], companyAcquisitions[]	arrays	Only when requested (include: companyDetails) and present
companyEmployeesOnLinkedin, companyFollowers, companyFoundedYear, companyLocationsCount, companyTotalFundingUsd, companyFundingRounds, companyInvestors	numbers	Only when requested (include: companyDetails) and present
audit	object	Only with includeAudit (compact: batchUnitsCharged; deep: unitsCharged)
type, reason, message	string	Only on a notice row, never on a profile row

A field with no value is left out of the row, so the columns that appear are the ones with data. false and 0 are real values and are kept. Export as JSON, CSV, Excel, XML or HTML from the Output tab, or read the dataset over the API.

Other records in the run

• MISSES (key-value store): one entry per input that did not become a row, with the input and a reason: invalid_input, not_found, or Upstream HTTP <code> / Upstream unavailable when a batch failed.
• errors-bulk-linkedin-profile-enrichment (key-value store): only the inputs whose batch failed at the data source, so you can run just those again.
• RUN_SUMMARY (key-value store): counts for the run (requested, valid, attempted, depth, pushed, missed, upstreamFailed, units, stoppedEarly, sourceTag, build).
• A notice row (type: "notice") is added when the free plan's 100-per-run limit skips inputs, or when a run stops on your maxChargeUsd. It is not a profile and is not charged.

Measured in a test run (2026-10-13)

• A list of 25 well-known public profile links returned 12 profiles; the 13 not found were free and listed in MISSES. Real rows carried 18 keys.
• A run with a tiny maxChargeUsd delivered 1 profile and 1 notice row (max_charge_reached), and charged for the 1 profile only.
• An unknown input field failed the run (remove unsupported fields: foo), and empty input failed it (No valid items in input). Nothing was charged in either case.
• Profiles go to the data source 25 per call; the maximum is 10,000 profiles per run (limit 0 = all, up to that maximum).

Column notes

• seniority is derived from the current role. A missing value means no current role was found, not that the person is junior.
• updatedAt is the date of the source record, not the time of your run. scrapedAt is the time of your run.
• Company domain is not returned. Use company-firmographics-by-domain when you have a domain from another source.

What is NOT returned

• ❌ Email addresses (only hasWorkEmail, hasPersonalEmail and hasPhone flags; no phone numbers; use linkedin-profile-by-url with includeEmails for addresses)
• ❌ Posts, comments, reactions or job listings
• ❌ Full employment history, education or skills lists, unless you set include to career (they are not in the default row)
• ❌ Profile photos, unless you set include to details (picture links expire)
• ❌ Private or non-public profile data
• ❌ Profiles found by name or keyword (this actor only takes links, use linkedin-people-search for discovery)

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🛡️ Reliable results

Our data promise. We work to keep every contact current, and we stand behind it. If a record is outdated, an email bounces or a person has moved on, open the Issues tab with your run link. We review every report and sort it out with you, case by case.

• Misses are free and visible. A profile that is not found or fails to load is listed in MISSES with a reason and is never charged.
• Duplicates are collapsed. The same profile written as a full URL, a short URL and a slug is looked up once and charged once.
• A failed batch loses nothing. If a call fails after retries, those inputs go to errors-bulk-linkedin-profile-enrichment and the rest of the run carries on. The run still succeeds with the data it has.
• No mix-ups. If the data source ever answers with a different number of results than you asked for, that batch is discarded and its inputs are reported, never matched to the wrong link.
• Each row is saved as it is delivered. A run that stops keeps what it already produced.
• Typos fail early. An unsupported input field stops the run before any charge.

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🤖 Use with AI agents (MCP)

This section is written for an LLM agent that calls this actor as a tool, through the Apify MCP server or the API. Prompt to copy:

"Use b2bdata/bulk-linkedin-profile-enrichment with items=["https://www.linkedin.com/in/jane-example", "https://www.linkedin.com/in/john-sample"] and limit=2. Return fullName, jobTitle, company, seniority and location for each row."

Output is schema-stable: the same keys every run, with absent fields left out.

When to use this actor, and when to use a sister actor

• Use b2bdata/bulk-linkedin-profile-enrichment when you hold a list of profile links (tens to thousands) and need structured facts about each person.
• linkedin-profile-by-url: one or a few profiles, or you want the email addresses on file.
• linkedin-person-search: you know a name and a company but have no link.
• linkedin-people-search: you want to find people by title or company when you have no links yet.
• email-phone-finder: you have a work email and need the person and a phone.

Input contract

Field	Type	Default	Notes
items	string[]	none	Profile URL, linkedin.com/in/slug or bare slug. Duplicates collapsed, order kept.
csvText	string	none	CSV text, links in any column. Use items or csvText or both.
limit	integer 0-10000	100	0 = all, up to 10,000. Above 10,000 is rejected.
depth	compact or deep	compact	deep = one call per profile, the most data, about 60 profiles/min (estimate); compact about 1,500/min. Same price.
include	string[] of the groups above (incl. companyDetails), or all	[]	Adds richer fields (lists of jobs, education, skills, about, picture links, certifications, recommendations ...). Omit for the compact row. Same price.
includeAudit	boolean	false	Adds audit to each row.
maxChargeUsd	number	none	Spend cap for the run.
sourceTag	string	none	Echoed in rows and summary.

Send only the fields you need. Any other field fails the run with Invalid input: remove unsupported fields: x, and nothing is charged.

Cost per call

You pay per profile found plus Apify platform usage. Misses, failed lookups, invalid inputs and notices are free. Start with a small limit, then scale. Free Apify accounts can spend up to USD 1 in the 14 days after their first run; paid plans have no limit.

Error cases and what to do

Situation	What you see	What to do
Unknown input field	Run fails: remove unsupported fields: x, nothing charged	Remove the field and retry once.
limit above 10,000	Run fails with the maximum named	Split the list.
No valid items	Run fails: No valid items in input	Pass at least one profile link or slug.
Profile not found	No row; MISSES entry not_found, free	Check the link. Do not retry more than once.
Batch failed	No rows for those inputs; they are in errors-bulk-linkedin-profile-enrichment, free	Run just those inputs again, later.
Free Apify plan, list longer than 100	Run SUCCEEDED, first 100 looked up, one free free_plan_limit notice row	Not an error. Run again with the rest; a paid Apify plan removes the limit. Do not loop.
Your maxChargeUsd reached	Run SUCCEEDED, one free max_charge_reached notice row	Raise the cap or run the rest separately.

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🔌 Integrations: send results anywhere

Rows are plain JSON with fixed keys, so any tool that reads an Apify dataset can use them.

• API. Start the run and read the dataset with the Apify API, or call the synchronous endpoint for short lists.
• Webhook. Add a webhook on run success and update your CRM by profileUrl.
• n8n, Make, Zapier. Use the Apify node or app, run this actor, then map the dataset rows.
• Google Sheets, Airtable. Export CSV from the Output tab or sync the dataset on a schedule.
• HubSpot, Salesforce, Clay. Match on profileUrl and write jobTitle, company and seniority to your own fields.

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🕐 Schedule examples

Use Apify Schedules (cron) on a saved task.

• Quarterly CRM refresh: 0 6 1 */3 *, your link export in csvText, limit 0, send rows to the CRM through a webhook.
• Weekly key-account check: 0 6 * * 1, a list of key-account contacts in items, limit 200, compare jobTitle and company against last week.

A schedule you forget is still billed for every profile found. Set maxChargeUsd on scheduled runs.

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🔗 Related actors

More from the publisher: See all actors by b2bdata

• b2bdata/linkedin-profile-by-url (link): one or a few profiles, with optional emails.
• b2bdata/linkedin-person-search (link): find a named person when you have no link.
• b2bdata/linkedin-people-search (link): find people by title or company.
• b2bdata/email-phone-finder (link): person and phone from a work email.
• b2bdata/company-firmographics-by-domain (link): company facts for a domain.

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❓ FAQ

How do I do bulk LinkedIn profile enrichment from a CSV without logging in? Paste the CSV text into csvText (or the links into items) and press Start. Every LinkedIn profile link in any column is used. No account and no cookies are involved.

How do I enrich CSV of LinkedIn URLs and get the result back as CSV? Yes. The run produces a dataset with one row per profile. Export it as CSV, JSON or Excel from the Output tab, and match rows to your sheet with profileUrl or inputQuery.

How do I refresh LinkedIn contacts in bulk, no login, for my CRM? Run your CRM's LinkedIn links through the actor on a schedule, then update jobTitle, company and seniority by profileUrl. Compare against the previous run to spot job changes.

LinkedIn profile batch scraper, 10000 URLs: is that one run? Yes, up to 10,000 profiles per run. Set limit to 0 to look up everything you gave, or to a number to cap it. A value above 10,000 is rejected with a message, so split bigger lists.

How do I get bulk LinkedIn profile data from URL list rows that have extra columns? Paste the whole CSV into csvText. Profile links in any column are picked up and the other columns are ignored.

How do I update CRM contacts from LinkedIn profile URLs? Export the contacts with their LinkedIn links, run them through the actor, then match rows back to your CRM by profileUrl.

What happens to links that are not found or are not profiles? They are skipped and never charged. Each one is listed with a reason in the MISSES record of the run.

What is deep mode for LinkedIn profile enrichment? Set depth to deep to fetch each profile through the single-profile route, which returns the most data (about 60 profiles per minute, an unverified estimate from upstream limits). Compact is the default and handles about 1,500 profiles per minute. Same price per profile.

How do I add company data (industry, size, funding) to each LinkedIn profile? Add companyDetails to include. The current employer is looked up once per run and its fields are added with a company prefix. If the company cannot be found, the profile row is still delivered.

Do I need to remove duplicate links first? No. Duplicates are collapsed automatically, including the same profile written two ways, and charged once.

Am I charged for failed lookups? No. You pay one profile event per delivered row. Misses, failed lookups, invalid inputs, notices and empty runs cost nothing, and there is no start fee.

What does the free plan allow? Up to 100 inputs looked up per run, as many runs as your Apify credit covers. Longer lists get one free free_plan_limit notice row. A paid Apify plan removes the limit.

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🛟 Support

Use the Issues tab on this actor's Apify page for bugs, questions and feature requests. We answer within 48 hours on working days. Please include the run ID and the input you used.

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📜 Legal

Use for B2B prospecting only. Comply with all applicable laws including GDPR, CCPA, and CAN-SPAM.

This actor is not affiliated with, endorsed by, or sponsored by LinkedIn. The LinkedIn name belongs to its respective owner. It returns profile facts from a profile database. It does not log in, use cookies, access private pages or bypass authentication. Published on Apify by b2bdata as proprietary software.