📦 Old Website Business Leads Scraper

Scrape a list of businesses with old, outdated, or technically dated websites from Google Maps business data.

How are these businesses identified?

Our prefiltering process analyzes business websites for signals commonly associated with older websites, outdated technology, legacy HTML structure, or websites that may benefit from modernization.

⚠️ Note: This dataset is not a guaranteed list of websites that require redesign.

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💼 Business Ideas: How You Can Use This Data

• 📨 Lead Generation: Build prospecting lists for web design, web development, SEO, CRO, or digital marketing agencies.
• 🖥️ Website Redesign Outreach: Find businesses whose existing websites may benefit from a modern redesign.
• 📱 Mobile & UX Services: Identify prospects that may need responsive design, improved usability, or conversion optimization.
• ⚡ Website Modernization: Offer performance optimization, HTTPS migration, CMS upgrades, accessibility improvements, or modern frontend development.
• 📈 SEO & Digital Marketing: Target businesses with older websites that may also have outdated technical SEO or content structures.
• 🛒 E-commerce & Booking Solutions: Offer online stores, booking systems, CRM integrations, payment systems, or other modern web functionality.
• 📬 Direct Outreach: Use available business emails and phone numbers for prospecting campaigns.

👉 Example use case: Get all Construction & Home Services businesses in the US, updated after 2026-08-01, with email addresses and an Old Website Score of at least 15.

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🚀 Features

• Filter by Business Type.
• Filter by Country Code (US or All).
• Filter by US State.
• Filter by Has Email.
• Filter by Published / Updated After (YYYY-MM-DD).
• Set a maximum number of results.
• Use Start at row to continue downloading results from a previous position.
• Results are returned in stable chronological order by update date.

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🔧 Input Schema

Field	Type	Description
business_type	string	Business type category (All or a predefined option).
country	string	Country code (All or US).
state	string	US state code such as TX, CA, FL, etc.
last_updated	string	Return only businesses updated after this date (YYYY-MM-DD).
has_email	boolean	Return only businesses with at least one email address.
max_results	integer	Maximum number of results per run. Default 100, maximum 10000.
offset	integer	Start at this result row. Useful for continuing a previous export without downloading the same rows again.

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📝 Example Input

{
    "business_type": "Construction & Home Services",
    "country": "US",
    "state": "TX",
    "last_updated": "2026-08-01",
    "has_email": true,
    "max_results": 1000,
    "offset": 1
}

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📊 Output

Each result may contain:

• Business name
• Street
• City
• State / region
• Country
• Business website
• Domain
• Phone number
• Email address
• Google review score
• Number of Google reviews
• Google business categories
• Google Maps URL
• Facebook
• LinkedIn
• Instagram
• Twitter
• YouTube
• Old Website Score (Expermiental)
• Published / updated date
• Google Place ID

Example Output

{
    "name": "Example Construction Company",
    "street": "123 Main St",
    "city": "Austin",
    "country": "Texas",
    "country_code": "US",
    "url": "http://www.example.com/",
    "domain": "example.com",
    "phone_number": "+1 555-123-4567",
    "emails": "info@example.com",
    "review_score": 4.5,
    "reviews_number": 87,
    "business_category": "general_contractor|construction_company",
    "old_website_score": 18,
    "google_maps_url": "https://www.google.com/maps?cid=...",
    "published": "2026-08-20T12:34:56",
    "google_place_id": "ChIJ..."
}

🔄 Downloading New Leads Later

Results are ordered chronologically using the business record's update date.

This makes it possible to periodically retrieve newer leads without downloading the entire dataset again.

For example, after downloading leads up to August 20, 2026, you can later run:

{
    "last_updated": "2026-08-20",
    "max_results": 1000,
    "offset": 1
}

You can also use Start at row when splitting a larger result set across multiple runs.

First run

{
    "max_results": 1000,
    "offset": 1
}

Second run

{
    "max_results": 1000,
    "offset": 1001
}

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⚠️ Data Accuracy

Business and website information is collected and processed automatically.

Data may occasionally contain:

• outdated contact information,
• websites that have recently been redesigned,
• businesses that changed domains,
• websites intentionally built using older technology,
• missing email addresses or social profiles.

The Old Website Score is designed to help prioritize prospects, but manual review is recommended before contacting high-value leads.