B2B Lead Intelligence

An end-to-end B2B lead enrichment pipeline. Give it a keyword and a location and it discovers businesses, enriches each one with publicly observable website signals — business emails, phones, social profiles, technologies — then scores and tiers every lead so your sales team gets a ranked, qualified list instead of a raw scrape.

Public data only. This Actor collects only publicly accessible business contact data — the generic business emails and phones a company publishes on its own website (e.g. info@, sales@, contact@). It never bypasses authentication and never gathers private personal data.

Pipeline

discover ──▶ extract ──▶ dedupe ──▶ website discovery ──▶ contact extraction
 (Bing Maps   (canonical  (merge      (fetch site)          (emails, phones,
  / Yellow     business    duplicates)                       social profiles)
  Pages)       records)                                            │
                                                                   ▼
   dataset ◀── lead scoring ◀── enrichment ◀── technology detection
   (ranked     (0-100 score,    (fill email/    (CMS, analytics,
    leads)      HIGH/MED/LOW     phone, attach    frameworks,
                tier)            tech & socials)  structured data)

What does this Actor do?

1. Discovery — finds businesses via Bing Maps (worldwide) and/or Yellow Pages (US) and normalises them into one canonical record shape.
2. Dedupe — collapses duplicate listings (same name + domain / phone / address) and merges the richest fields.
3. Website discovery + contact extraction — fetches each business website (and up to two contact/about pages) and pulls public emails, phones and social profiles.
4. Technology detection — fingerprints CMS, JavaScript frameworks, analytics and structured data.
5. Enrichment — fills a missing business email/phone from the website and attaches the detected technologies and social profiles to the record.
6. Lead scoring — computes a positive-signal leadScore (0-100) and assigns a leadTier (HIGH / MEDIUM / LOW). Every point is explained by a leadSignals entry so the score is fully auditable.

Runs on the Apify platform with proxy rotation, scheduling, API access and dataset export built in.

Why use it?

• Sales and demand-gen teams get a pre-scored, contactable lead list — each row already carries a business email, phone, tech stack and a transparent quality score.
• Every score ships with the evidence behind each point, so you can trust (and audit) the ranking instead of guessing.

How to use it

1. Enter a keyword (e.g. hvac contractors) and a location (e.g. Austin, TX).
2. Pick your discovery sources and whether to enrich contacts from each website.
3. Run the Actor and download the dataset as JSON, CSV or Excel — sorted best-lead first.

Input

Field	Type	Description
keyword	string (required)	Business category/keyword to search.
location / city / state / country	string	Where to search.
sources	array	bing_maps, yellowpages. Default ["bing_maps"].
maxResults	integer	Max leads to return (default 50).
enrichContacts	boolean	Fetch each website for public emails/phones/tech (default true).
proxyConfiguration	object	Proxy settings (residential US recommended for Yellow Pages).
cookies	string	Optional Cookie header to replay on every request.

Input example

{
  "keyword": "hvac contractors",
  "location": "Austin, TX",
  "sources": ["bing_maps"],
  "maxResults": 50,
  "enrichContacts": true
}

Output

One record per lead, sorted by leadScore (highest first).

Field	Description
company	Business name.
category	Business category / keyword.
website	Website URL.
businessEmail	Public business email (generic role address preferred).
phone	Business phone.
address, city, state, country	Location.
reviewCount, rating	Public review signals.
technology	Detected CMS / frameworks / analytics.
socialProfiles	Public social-network links.
publicMetadata	Coordinates, CMS, structured data, e-commerce/booking/analytics flags.
leadScore	0-100 positive-signal quality score.
leadTier	HIGH / MEDIUM / LOW.
leadSignals	Per-point breakdown explaining the score.
sourceUrls	Where the data came from.

Output example

{
  "company": "Acme HVAC",
  "category": "hvac contractors",
  "website": "https://acmehvac.com",
  "businessEmail": "info@acmehvac.com",
  "phone": "+15125550199",
  "address": "2 Oak Ave",
  "city": "Austin",
  "state": "TX",
  "rating": 4.8,
  "reviewCount": 240,
  "technology": ["Google Analytics", "WordPress"],
  "socialProfiles": { "facebook": "https://facebook.com/acmehvac" },
  "publicMetadata": { "coordinates": { "latitude": 30.3, "longitude": -97.7 }, "cms": ["WordPress"] },
  "leadScore": 95,
  "leadTier": "HIGH",
  "leadSignals": [
    { "id": "has_website", "label": "Has a website", "points": 15, "evidence": "Website: https://acmehvac.com" },
    { "id": "has_email", "label": "Has a business email", "points": 20, "evidence": "Email: info@acmehvac.com" }
  ],
  "sourceUrls": ["https://acmehvac.com"]
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Lead score signals

Positive signals that build the leadScore (capped at 100):

Signal	Points
has_website	15
has_email	20
has_phone	10
strong_rating (rating ≥ 4.0)	10
established_reviews (reviews ≥ 20)	10
identifiable_technology	10
social_presence	10
complete_address	5
category_present	10

Tiers: HIGH (≥ 60), MEDIUM (≥ 35), LOW (below 35).

Sources & configuration

• Bing Maps — worldwide, no browser, fast. Works without a proxy for light use.
• Yellow Pages — US only; needs a US residential proxy in practice (DataDome).
• Environment variables — none required. Apify Proxy password is injected by the platform.