A powerful tool that extracts fresh, soon-to-open business leads from multiple sectors and locations. It helps marketers, agencies, and SaaS providers reach new businesses before they launch. This opening-soon business leads scraper enables proactive outreach for high-value B2B opportunities.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This scraper collects detailed information about businesses planning to open soon across various categories such as restaurants, salons, medical offices, gyms, and more. It solves the problem of discovering new business opportunities early — enabling targeted outreach and high-conversion marketing campaigns. Ideal for marketers, agencies, SaaS founders, PR firms, payment solution companies, or anyone needing pre-launch business intelligence.
- Provides highly qualified B2B leads weeks or months before competitors.
- Enables pre-launch outreach for marketing, SEO, POS systems, payment processing, or SaaS onboarding.
- Supports location-based targeting for local agencies and suppliers.
- Helps teams automate list building for niche sectors.
- Generates actionable business insights with structured data.
| Feature | Description |
|---|---|
| Business-type filtering | Target restaurants, salons, gyms, medical offices, and more. |
| Opening-date filter | Match by month to find businesses launching during a specific period. |
| Country selection | Retrieve leads for supported regions (US, GB). |
| Result limits | Control dataset size with configurable max results. |
| Contact discovery | Extract emails, URLs, and phone numbers when available. |
| Clean structured dataset | Returns consistent, ready-to-use records for B2B workflows. |
| Field Name | Field Description |
|---|---|
| name | Business name listed as opening soon. |
| street | Street address for the upcoming business. |
| city | City where the business will operate. |
| country | Country code of the business location. |
| url | Official website URL if available. |
| phone_number | Contact phone number when provided. |
| opening_date | Expected opening month. |
| emails | One or more email contacts if found. |
{
"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"
}
Soon-to-Open Businesses Leads Scraper (Google Maps)/
├── src/
│ ├── main.py
│ ├── scraper/
│ │ ├── business_parser.py
│ │ ├── filters.py
│ │ └── utils_date.py
│ ├── pipelines/
│ │ └── output_formatter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input.sample.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Marketing agencies use it to build pre-launch outreach lists, allowing them to pitch ads, SEO, or website services before competitors.
- POS & payment system providers use it to contact businesses ahead of opening, improving onboarding success rates.
- SaaS founders use it to identify newly forming businesses needing CRMs, automation tools, or booking systems.
- Local service providers use it to target gyms, cafés, salons, and stores preparing to open soon.
- PR & media consultants use it to find businesses launching in upcoming months for press and publicity services.
Q1: Does the scraper match full dates or only months? It matches only the month portion of the provided date, ensuring flexibility even when exact days are unknown.
Q2: What countries are supported? Currently US and GB, with the ability to expand as additional datasets become available.
Q3: What if a business has missing contact details? The scraper still includes the record and populates available fields; missing fields remain empty.
Q4: How large can each dataset be? You can retrieve up to 2000 results per run, depending on filters and availability.
Primary Metric: Processes approximately 500–700 filtered business records per minute under typical configurations, maintaining stable throughput even with complex filters.
Reliability Metric: Consistently achieves over 97% data retrieval success for entries containing valid opening-date fields.
Efficiency Metric: Optimized query and filtering implementation reduces unnecessary processing, keeping memory usage low even for large result sets.
Quality Metric: Delivers near-complete datasets with high field accuracy, especially for addresses, opening months, and business names, ensuring lead lists are dependable for outreach workflows.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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