AI Lead Qualifier — Score Leads & Write Openers

Turn a raw list of leads into a scored, prioritized outreach list — with a personalized opening line already written for each one. Point it at any batch of leads, describe your ideal customer and your offer, and get back every lead scored 1–10 with a one-sentence reason and a ready-to-send cold-open line.

Not a scraper — this is the qualification layer that goes after scraping. Feed it the output of any lead-scraper on Apify (including the Wild Apricot, MembershipWorks, and ChamberMaster directory scrapers) and it turns hundreds of raw rows into a ranked call list.

Bring your own key = you pay pennies here

The model runs on your own API key with your chosen model provider. Because the model cost is billed to your own account, this Actor charges only a few cents per lead for scoring and writing the opener.

Input

{
  "leads": [
    { "name": "Bluewater Bistro", "category": "Restaurant", "city": "Seattle" }
  ],
  "inputDatasetId": "PASTE_A_SCRAPER_RUN_DATASET_ID_optional",
  "icpDescription": "Independent restaurants and bars, not chains.",
  "offerDescription": "Modern restaurant POS with free install.",
  "scoreThreshold": 7,
  "onlyReturnQualified": false,
  "apiKey": "your-own-api-key"
}

• leads: array of objects (any shape) or strings. And/or…
• inputDatasetId: qualify another Actor's output directly — paste its dataset ID.
• icpDescription / offerDescription: the sharper and more specific, the better the scores.
• onlyReturnQualified: return just the leads that meet your threshold.
• model / apiBaseUrl / apiKey: your provider and key (key stored as a secret).

Output

Each input lead is returned unchanged, plus a _qualification block:

{
  "name": "Bluewater Bistro",
  "category": "Restaurant",
  "city": "Seattle",
  "_qualification": {
    "score": 9,
    "reason": "Independent food-service business, strong ICP fit.",
    "opener": "Saw your spot listed locally — most independents here still run legacy POS; ours installs free before your next weekend rush.",
    "qualified": true,
    "at": "2026-07-23T21:40:00.000Z"
  }
}

Typical workflow (the flywheel)

1. Run a directory/lead scraper → dataset of raw businesses.
2. Run AI Lead Qualifier with that inputDatasetId + your ICP + offer.
3. Export the qualified rows (with openers) to your CRM / Google Sheet / Slack.

Notes

• Robust to messy model output — one bad lead never kills the run.
• Concurrency is configurable (1–10) for speed vs. rate limits.
• Your API key is stored as a secret and used only to call your chosen model.
• No personal data is sent anywhere except your own model provider.

🔗 Part of a lead-generation suite (scrape → enrich → qualify)

This Actor works best chained with its companions on the same account:

1. Directory scrapers — get businesses/members (name + website) from Wild Apricot, MembershipWorks, or ChamberMaster / GrowthZone directories.
2. Business Website Contact Extractor — add the emails/phones the directories hide.
3. AI Lead Qualifier — score each lead against your ICP and write a personalized opener.

Pass a run's dataset ID into the next step to chain the pipeline.