📦 Opening Soon Business Scraper

Scrape a list of businesses that are opening soon based on business type, country, and expected opening date.

💼 Business Ideas: How You Can Use This Data

Not sure how to leverage this dataset? Here are some ideas:

• 📨 Lead Generation: Build highly targeted lists of soon-to-open businesses for marketing agencies, SEO firms, or local service providers.
• 📈 Ad Campaigns: Offer paid advertising or Google Maps optimization services to new businesses preparing to launch.
• 🤝 B2B Partnerships: Reach out early to pitch payment systems, point-of-sale, or other software tools.
• 🛠️ SaaS Customer Onboarding: Contact businesses before they open to help them set up websites, CRMs, or email marketing tools.
• 📬 Email & Phone List Building: Grow your own or your clients' contact lists for niche sectors like gyms, salons, or cafés.
• 📰 Local Media & PR: Pitch PR services to businesses just before they launch.

This is golden data for anyone working in B2B, local services, or SaaS!

👉 Example use case: Get all upcoming Restaurants & Food businesses opening in the US in May.

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🚀 Features

• Filter by Business Type:
  • Restaurants & Food
  • Coffee & Tea Shops
  • Bars & Nightlife
  • Beauty & Personal Care
  • Fitness & Wellness
  • Shops & Stores
  • Health & Medical
  • Other Services
• Filter by Opening Date (month only) – e.g., May, June, etc.
• Filter by Country Code (e.g., US, GB).
• Set a maximum number of results.

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🔧 Input Schema

Field	Type	Description
business_type	string	Select a business type category (from a predefined list).
opening_date	string	Month & year selection (e.g., May 2025). The scraper matches the month only (e.g., %May%).
country	string	Country code selection (currently supports US and GB).
max_results	integer	Maximum number of results to retrieve (default 100, max 2000).

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📝 Example Input

{
    "business_type": "Restaurants & Food",
    "opening_date": "May 2025",
    "country": "US",
    "max_results": 100
}

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📊 Output Dataset

Each dataset item contains:

Field	Type	Description
name	string	Business name.
street	string	Street address.
city	string	City.
country	string	Country.
url	string	Business website URL (if available).
phone_number	string	Phone number (if available).
opening_date	string	Expected opening date (text, e.g., May).
emails	string	Email(s) (if available).

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📦 Example Output

{
    "name": "Sunset Grill",
    "street": "123 Main St",
    "city": "Los Angeles",
    "country": "US",
    "url": "https://sunsetgrill.com",
    "phone_number": "+1 555-123-4567",
    "opening_date": "May",
    "emails": "info@sunsetgrill.com"
}

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💡 Notes

• ✅ The scraper matches the month only from the opening_date (e.g., if you select May 2025, it matches any entry containing "May" in the DB).
• 🛠️ The scraper retrieves businesses from the US_opening_soon table and filters live.
• 🔗 Useful for generating lead lists of soon-to-open businesses in different sectors.

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🔗 Related

• 📦 Need Shopify scraping? Check out Shopify Merchant Scraper.