LEAD GENERATION

Enrich anonymous and personal-email downloaders into routable company leads

Catches downloads from gmail.com and other personal-email addresses, enriches them into a likely company via Apify.

CategoryLead Generation
Enginesim
Difficultyadvanced
Triggerwebhook
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerReadMe gated download webhook firesReadMeReadMe
  • LogicBranch on personal vs corporate email domain
  • ActionEnrich personal email to likely company via ApifyApify
  • LogicBranch on enrichment confidence; drop noise
  • OutputCreate or update HubSpot lead with inferred companyHubSpotHubSpot

What it does

Rescues the leads that gating usually wastes. When someone downloads a doc using a personal email, this attempts to resolve them to a real company using web enrichment, then creates a clean HubSpot lead only when there's a confident company match — and quietly discards true noise.

When to use it

A large share of your gated downloads come in on gmail.com, outlook.com, or other free domains, and your CRM either drops them or fills with junk. Use this to recover the hidden buyers inside that personal-email traffic.

How it works

  1. 1A ReadMe download webhook fires with the visitor's email and asset.
  2. 2Branch: route only personal/free-mail domains down the enrichment path; corporate emails skip straight to normal intake.
  3. 3Run an Apify enrichment actor to infer the person's likely employer from name, signals, and public profiles.
  4. 4Branch on enrichment confidence: a strong company match proceeds; weak matches are dropped as noise.
  5. 5Create or update a HubSpot lead with the inferred company, source asset, and a low-confidence flag for SDR review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ReadMeAPI docs, changelog, auth.
  2. 2
    Connect ApifyActors, scrapers, datasets.
  3. 3
    Connect HubSpotCRM, deals, marketing, support.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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