How to Scrape Store Leads for Less Than Your Coffee Budget
E-commerce data scraping has traditionally been an expensive endeavor, with popular platforms charging upwards of $450-950 per month for unlimited access. However, there’s now a more affordable alternative that provides comparable data at a fraction of the cost.
Introducing Scraper Max
Scraper Max by Lead Max offers comprehensive e-commerce data scraping capabilities that can extract information from approximately 13 million active online stores. The tool allows users to scrape data from various platforms including Shopify and WooCommerce across multiple industries.
How It Works
Using Scraper Max is straightforward. After accessing the platform, users simply need to provide specific parameters for their search in a conversational format. The system accepts several filtering options:
- Platform type (Shopify, WooCommerce)
- Industry category (apparel, sports, tech, computers, etc.)
- Target country
- Revenue range (from $20k to millions)
- Store status (active or password-protected)
The Data Extraction Process
Once parameters are entered, the system automatically begins scraping. Processing time varies based on the scope of the request, but even extensive searches typically complete within minutes. For example, a search for active Shopify stores in the United States in the computer industry with revenues between $50-100k generated 475 results in just six seconds.
Comprehensive Data Fields
The extracted data includes extensive information about each business:
- Domain details
- Geographic information (country code, city, location)
- Merchant name
- Language
- Website title and description
- Creation and update dates
- Ranking information
- Social media profiles (LinkedIn, YouTube, Twitter, Facebook, TikTok, Pinterest)
- Contact details (phone, Telegram, WhatsApp)
- Technology stack
Key Advantages
What makes Scraper Max particularly attractive is that it’s unlimited and doesn’t require proxies. The intuitive interface allows users to make specific requests in natural language, making it accessible even for those without technical expertise in data scraping.
For businesses looking to build targeted lead lists for e-commerce outreach, this tool offers a cost-effective alternative to more expensive data providers while delivering comparable results.