WPS-inc.com Dealers Scraper ## 🤖 What does WPS-inc.com Dealers Scraper do? WPS-inc.com Dealers Scraper lets you effortlessly extract dealer information from WPS-inc.com. WPS, based in Boise, Idaho, is a leading wholesaler and distributor of powersports parts and accessories. With over 65 years of experience and a vast nationwide network, WPS powers the fastest growing delivery system in the industry. This actor collects detailed information about powersports dealers including: - 🏢 Business details and contact information - 📍 Dealer addresses and geographic locations - 📞 Phone numbers and email addresses - 🌐 Website URLs - 🗺️ Service area indicators and proximity (distance) - ⚙️ Product specialties flags (e.g., ATV, Offroad, Street, Snow) ## 💡 Why scrape WPS-inc.com? WPS-inc.com is a crucial hub for powersports dealers. Scraping its dealer locator provides you with a wealth of valuable data for: - 📊 Market research and competitive analysis in the powersports industry - 🎯 Lead generation and business development - 📈 Identifying regional trends and dealer distributions - 🛠️ Assessing the product and service mix across dealers - 💼 Uncovering opportunities in the growing powersports market ## 🚀 How to scrape WPS-inc.com Getting started with the WPS-inc.com Dealers Scraper is simple: 1. Set up your input parameters: - Specify the maximum number of dealers to scrape with maxItems. - Provide one or more zip codes to target specific regions. - Choose a search radius (25, 50, or 100 miles) to define the geographical scope. - Optionally configure your proxy settings. 2. Run the actor: - Click Run on Apify to start scraping. - Monitor progress through the Apify platform. 3. Access your data: - Once complete, preview or download the scraped dealer data from the Dataset tab. ## 💳 Costs and Credit Usage Apify provides you with $5 free usage credits every month on the Apify Free plan to try out this scraper. For regular and large-scale data extraction, consider upgrading to one of Apify's paid plans. ## 📝 Input Parameters The scraper supports the following input parameters to tailor your search: | Parameter | Type | Required | Description | | -------------------- | ------- | -------- | ------------------------------------------------------------------------------------------------------ | | maxItems | Integer | Yes | Maximum number of dealers to scrape. | | zipCodes | Array | Yes | List of zip codes to search for dealers. | | radius | Integer | No | Search radius in miles. Default is 50. Options are 25, 50, or 100. | | proxyConfiguration | Object | No | Proxy settings configuration. Defaults to Apify's RESIDENTIAL proxy group to ensure reliable scraping. | Example input: json { "maxItems": 50, "zipCodes": ["90210"], "radius": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ## 📊 Results The scraper returns comprehensive dealer information. The overview dataset includes fields such as: - ID: Unique identifier for each dealer - NAME: Dealer's name - EMAIL: Contact email - PHONE: Contact phone number - WEBSITE: Dealer's website URL - ADDRESS_1 and ADDRESS_2: Address details - CITY, STATE, ZIP: Geographical location Below is an example of the output: json [ { "ID": "2180967", "NAME": "BROOKLYN MAYD POWERSPORTS", "ADDRESS_1": "857 BROADWAY", "ADDRESS_2": "", "CITY": "BROOKLYN", "STATE": "NY", "ZIP": "11206", "LATITUDE": "40.698860000", "LONGITUDE": "-73.938090000", "PHONE": "3474257950", "EMAIL": "brooklynmayd.info@gmail.com", "WEBSITE": "www.brooklynmayd.com", "ATV": "Y", "BICYCLE": "N", "OFFROAD": "Y", "HARDDRIVE": "Y", "SNOW": "Y", "STREET": "Y", "WATERCRAFT": "N", "DISTANCE": "4.595159363338708" } ] ## 🌍 Proxy Usage To ensure robust and reliable data collection, the scraper utilizes Apify's proxy infrastructure. This setup provides: - High success rates by preventing IP blocking - Scraping from diverse geographical locations - Consistent and uninterrupted data extraction ## ⚖️ Legal Considerations Always use web scraping responsibly: - Avoid overloading the website's servers. - Ensure compliance with personal data protection regulations (like GDPR). - Use the scraped data in accordance with all applicable laws and regulations. For further legal guidance on web scraping, please refer to resources such as is web scraping legal?. Happy scraping!