Leads Finder by Scalelist

Find targeted B2B lead profiles matching job titles, departments, career levels, locations, industries, and company criteria — powered by Scalelist without leaving your Apify workflow.

Search over millions of B2B profiles and export clean, verified firmographic and professional profile data directly to the Apify Dataset.

---

How it works

1. Set Number of leads to extract — how many leads you want back.
2. Narrow your audience using any combination of the 14 filter fields, grouped on the input form into Job Title & Role, Company, Company Size, Industry, Keywords and Person Location.

The Actor fetches matching profiles progressively and writes them straight to your Apify dataset.

You are charged per lead delivered, via Apify Pay-Per-Event (PPE). If fewer leads match than you asked for, you are only charged for the leads actually delivered — asking for 10,000 when only 100 match costs you 100.

---

Input

Field	Form label	Section	Type	Description
maxResults	Number of leads to extract	—	integer	How many leads to return (default: 100, max: 10,000)
jobTitles	Job Titles	Job Title & Role	string[]	Job titles to match (OR logic), e.g. ["VP Sales", "Chief Technology Officer"]
excludeJobTitles	Exclude Job Titles	Job Title & Role	string[]	Job titles to exclude from results
jobFunctions	Job Functions	Job Title & Role	string[]	Functional departments, e.g. ["Sales", "Engineering", "Marketing"]
seniority	Seniority Levels	Job Title & Role	string[]	Career levels, e.g. ["CXO", "VP", "Director", "Manager"]
companies	Company Name	Company	string[]	Names of companies to include (OR logic), e.g. ["Google", "Stripe"]
excludeCompanies	Exclude Company Name	Company	string[]	Names of companies to exclude from results
companyDomains	Company Domains	Company	string[]	Company website domains to include, e.g. ["stripe.com"]
companySizeMin	Company Size Min	Company Size	integer	Minimum employee count (optional)
companySizeMax	Company Size Max	Company Size	integer	Maximum employee count (optional)
industries	Industries	Industry	string[]	Industries to match, e.g. ["Computer Software", "Financial Services"]
keyword	Keyword	Keywords	string	Free-text keyword matched across the profile
countries	Countries	Person Location	string[]	Countries to match, e.g. ["United States", "United Kingdom"]
states	States / Regions	Person Location	string[]	States / provinces to match, e.g. ["California", "Ontario"]
cities	Cities	Person Location	string[]	Cities to match, e.g. ["San Francisco", "London", "Singapore"]

companies matches on the company's name; use companyDomains to match on its website instead.

Example input: Search for Software Engineering VPs & Directors

{
  "maxResults": 100,
  "jobTitles": ["VP Engineering", "Director of Engineering"],
  "jobFunctions": ["Engineering"],
  "seniority": ["VP", "Director"],
  "industries": ["Computer Software", "Internet"],
  "companySizeMin": 50,
  "companySizeMax": 500,
  "countries": ["United States"]
}

Example input: Target named accounts

{
  "maxResults": 500,
  "companies": ["Stripe", "Ramp", "Brex"],
  "seniority": ["CXO", "VP"],
  "countries": ["United States"]
}

---

Output

Every delivered lead is written to the Apify Dataset with the following fields:

Field	Type	Description
full_name	string	Lead's full name
first_name	string	First name
last_name	string	Last name
job_title	string	Current job title
seniority	string	Seniority level (CXO, VP, Director, Manager, etc.)
job_function	string	Functional department
company_name	string	Current employer
company_domain	string	Company website domain
company_size	string	Company employee count range
industry	string	Industry category
city	string	City
state	string	State or region
country	string	Country
linkedin_url	string	Public LinkedIn profile URL
company_linkedin_url	string	Company LinkedIn page URL
profile_picture_url	string	Profile image URL (if available)

Example output row

{
  "full_name": "Jane Doe",
  "first_name": "Jane",
  "last_name": "Doe",
  "job_title": "VP of Engineering",
  "seniority": "VP",
  "job_function": "Engineering",
  "company_name": "Acme Cloud Inc.",
  "company_domain": "acmecloud.com",
  "company_linkedin_url": "https://www.linkedin.com/company/acme-cloud",
  "company_size": "51-200",
  "industry": "Computer Software",
  "city": "San Francisco",
  "state": "California",
  "country": "United States",
  "linkedin_url": "https://www.linkedin.com/in/janedoe",
  "profile_picture_url": "https://media.licdn.com/dms/image/..."
}

---

Enriching your leads

This Actor finds and extracts lead profiles. It does not return emails or phone numbers — run the results through the enrichment Actors for those:

• Email Finder — verified business emails
• Phone Finder — mobile numbers
• Domain Finder — all emails at a company, from its domain

Output is snake_case (first_name, company_domain, linkedin_url) so it maps directly onto what those Actors expect.

Error handling

Situation	Behaviour
Rate limit (429)	Exponential backoff, up to 5 automatic retries
Fewer matches than requested	Search ends when results are exhausted; you are charged only for leads delivered
Spend cap reached	Only the leads that could be charged are delivered, then the Actor stops cleanly and flushes all saved dataset rows
Duplicate profiles	Deduplicated within the run by LinkedIn URL; duplicates are never charged

---

Other Scalelist Actors

• Email Finder — find your leads' verified email
• Phone Finder — find your leads' mobile number
• Domain Finder — find leads and their emails from a company domain

---

Support

• Scalelist Website
• Scalelist Support: hello@scalelist.com