✨ Leads Finder — B2B leads from Google Maps with emails

Turn Google Maps into a steady stream of qualified B2B leads. This actor scrapes business listings, enriches each result with emails and social profiles from the company website, and gives you a fast, no-API-key way to build local and SMB prospect lists that are ready for CRM or outreach.

🚀 What this actor does

1. Builds Google Maps searches from your search terms × locations.
2. Scrolls each results feed and opens every business to extract name, category, rating, reviews, phone, website, address and coordinates.
3. (Optional) Visits each business website (home + contact/about pages) and harvests emails and LinkedIn / Facebook / Instagram / X / YouTube links.
4. Pushes one normalized lead per business to the dataset (export to JSON / CSV / Excel).

No third-party data API or API key is required — it's a real browser scrape using Puppeteer with stealth.

🧩 Input

Full schema: .actor/input_schema.json. Example: input.json.

Field	Type	Description
search_terms (required)	array	Business types to find (e.g. "marketing agency", "dentist").
contact_location	array	Region/country/state/city to search in.
contact_city	array	City-level targeting (used instead of contact_location when set).
company_keywords	array	Extra keywords appended to every search term.
fetch_count	integer	Max leads to collect (default 100).
file_name	string	Run label attached to every record.
scrape_website_contacts	boolean	Visit each website for emails/socials (default true).
require_email	boolean	Drop businesses with no email found (default false).
language_code	string	Google interface language (hl), default en.
max_concurrency	integer	Parallel pages; keep low (1–3) to avoid blocks.

Each search_term is combined with each location, so ["dentist","orthodontist"] × ["Austin","Dallas"] runs 4 searches.

{
    "search_terms": ["marketing agency", "digital agency"],
    "contact_location": ["Austin, TX"],
    "fetch_count": 20,
    "scrape_website_contacts": true
}

📤 Output

One dataset item per business. Full list: .actor/output_schema.json.

• Business: company_name, category, company_phone, company_website, rating, reviews_count, google_maps_url, latitude, longitude
• Address: company_full_address, company_street_address, company_city, company_state, company_country, company_postal_code
• Contacts (from website): email, emails[], linkedin, facebook, instagram, twitter, youtube
• Context: search_term, search_location, file_name

{
    "company_name": "Acme Agency",
    "category": "Marketing agency",
    "email": "hello@acme.com",
    "emails": ["hello@acme.com", "sales@acme.com"],
    "company_phone": "+1 512-555-0100",
    "company_website": "https://acme.com",
    "company_full_address": "123 Main St, Austin, TX 78701, United States",
    "rating": 4.7,
    "reviews_count": 134,
    "linkedin": "https://linkedin.com/company/acme",
    "google_maps_url": "https://www.google.com/maps/place/..."
}

Note on fields: Google Maps lists businesses, not individual people, so person-level fields (job title, seniority, personal LinkedIn) aren't available from this source. The output focuses on the company + best business email found on the site.