B2B People Search ✅ Work Emails ✅ Apollo | ZoomInfo | Lusha avatar

B2B People Search ✅ Work Emails ✅ Apollo | ZoomInfo | Lusha

Pricing

from $1.00 / 1,000 lead fetcheds

Go to Apify Store
B2B People Search ✅ Work Emails ✅ Apollo | ZoomInfo | Lusha

B2B People Search ✅ Work Emails ✅ Apollo | ZoomInfo | Lusha

🔥 Find decision-makers by job title, seniority, department, industry, location & company size. Returns verified work ✉️ emails, LinkedIn profiles & firmographics. Cheap Apollo, ZoomInfo & Lusha alternative — no API key needed.

Pricing

from $1.00 / 1,000 lead fetcheds

Rating

0.0

(0)

Developer

Lead King

Lead King

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

0

Monthly active users

2 days ago

Last modified

Share

B2B People Search — Work Emails, LinkedIn & Firmographics

Find decision-makers by job title, seniority, department, industry, location and company size — and get back their work email, LinkedIn profile and company firmographics.

A cheap alternative to Apollo, ZoomInfo, Lusha and Seamless. No API key and no subscription — you need only Apify credits, and you pay per lead returned.

What you get per lead

FieldExample
Full nameDana Whitfield
Job titleHead of Revenue Operations
HeadlineScaling RevOps at Series B SaaS
SeniorityHead
Work emaildana@acme.com
Email risk scoreA
LinkedIn URLhttps://linkedin.com/in/…
CompanyAcme Analytics
Company websiteacme.com
Company size51-200
Company revenue$10M - $20M
Company industryInformation Technology
CountryUnited States

Export to CSV, Excel, JSON or pull via API — straight into your CRM or sequencer.

How to use it

  1. Set Job title / keywords (e.g. Head of Sales) and/or any exact filter.
  2. Optionally narrow by seniority, department, industry, company size, revenue, country, state, city, company domain.
  3. Set Max leads (up to 500 per run).
  4. Run. Results land in the dataset as they are found.

You must set at least one filter — the run fails fast if none are given rather than charging you for an untargeted dump.

Getting good results

  • Country is the safest filter to combine — it is present on ~99% of records. Seniority, department and industry are present on ~60%, and NAICS / LinkedIn industry on ~50%, so stacking several exact filters at once narrows results sharply.
  • Company domain beats company name. salesforce.com is unambiguous; Salesforce is not.
  • State and city need full names with standard capitalizationTexas, not TX.
  • If a run comes back empty, remove your narrowest filter first (usually city, NAICS or LinkedIn industry).

Pricing

Pay per result. You are charged one lead-fetched event per person pushed to the dataset, plus the platform's standard per-run start fee.

  • Leave "Only people with a work email" on (the default) and you are charged only for people who have a deliverable work email.
  • Turn it off to also receive profiles that have a name, role, company and LinkedIn but no email — these are still charged as leads.

Emails graded as hard-bounce risk are removed before you are charged for them. Set a max cost per run in the Console to cap spend; the run stops cleanly when it is reached.

Limits

  • 500 leads per run. Run again with a different filter set (or a different city/industry) to build a larger list.
  • The upstream source enforces a rolling rate budget. If it is reached mid-run, you get the leads found so far, a clear status message, and you are charged only for what was delivered. Trying again a few hours later gets more.

Support

Found a problem or need a filter that isn't here? Open an issue on the Actor's Issues tab.