ScrapeHaven - Google Maps Scraper

ScrapeHaven is a powerful and easy-to-use Actor designed to extract business data from Google Maps. Whether you're looking for contact details, reviews, or social media links, ScrapeHaven simplifies the process of gathering valuable business information at scale.

⭐️ Key Features

• Search Any Location: Enter a search term (e.g., "coffee shops in New York") and let ScrapeHaven do the rest.
• Customizable Results: Specify the number of results you want to scrape.
• Comprehensive Data: Extract business names, addresses, phone numbers, emails, websites, social media links (Facebook, Instagram, Twitter, LinkedIn), and review averages.
• Batch Processing: Efficiently processes listings in batches to handle large datasets.
• Proxy Support: Built-in proxy rotation to avoid IP bans and ensure smooth scraping.

🎯 Use Cases

• Lead Generation: Build a database of potential clients or partners.
• Market Research: Analyze competitors and gather insights about local businesses.
• SEO and Marketing: Identify businesses for outreach campaigns or backlink opportunities.
• Data Enrichment: Enhance your existing datasets with up-to-date business information.

🗺 What Data Can ScrapeHaven Extract?

ScrapeHaven is capable of extracting the following data from Google Maps:

• Business Name 📛
• Full Address 📍
• Phone Number 📞
• Email Address 📧
• Website 🌐
• Social Media Links (Facebook, Instagram, Twitter, LinkedIn) 🔗
• Review Averages ⭐

🚀 How ScrapeHaven Works

ScrapeHaven is not just a scraper—it’s a data extraction powerhouse. Here’s how it works:

1. Step 1: Search Google Maps
   ScrapeHaven starts by navigating Google Maps and searching for businesses based on your input (e.g., "coffee shops in New York"). It extracts key details such as:

   • Business Name
   • Address
   • Phone Number
   • Website
   • Review Averages

2. Step 2: Visit Individual Websites
   For each business listing, ScrapeHaven visits the provided website to extract additional details:

   • Email Addresses: Scans the website for email addresses using advanced pattern recognition.
   • Social Media Links: Identifies and extracts links to Facebook, Instagram, Twitter, and LinkedIn profiles.

3. Step 3: Organize and Deliver Data
   All extracted data is organized into a structured format and saved to a dataset. You can export the results in JSON, CSV, or other formats for further analysis.

💸 Pricing

ScrapeHaven uses a usage-based pricing model:

• $5 for 5 hours of usage: Perfect for small to medium scraping tasks.
• Free Credits: Apify provides $5 in free usage credits every month on the Apify Free plan, so you can try ScrapeHaven for free!
• Subscription Plans: For regular users, we recommend the Apify Starter Plan ($49/month), which provides ample resources for large-scale scraping tasks.

🗄 How to Use ScrapeHaven

ScrapeHaven is designed for an easy start, even if you've never scraped data before. Here's how to get started:

1. Create a Free Apify Account: Sign up at Apify.
2. Open ScrapeHaven: Navigate to the ScrapeHaven Actor on Apify.
3. Enter Your Search: Add a search term (e.g., "restaurants in Paris") and specify the number of results you want to scrape.
4. Run the Scraper: Click "Start" and let ScrapeHaven do the work.
5. Export Your Data: Download the results in JSON, CSV, or other formats for further analysis.

Example Input

1{
2  "search_for": "coffee shops in New York",
3  "total": 20
4}

Example Output

1[
2  {
3    "name": "Blue Bottle Coffee",
4    "address": "450 W 15th St, New York, NY 10011, USA",
5    "phone_number": "+1 212-924-1200",
6    "email": "info@bluebottlecoffee.com",
7    "website": "https://www.bluebottlecoffee.com",
8    "facebook": "https://www.facebook.com/bluebottlecoffee",
9    "instagram": "https://www.instagram.com/bluebottle",
10    "twitter": "https://twitter.com/bluebottle",
11    "linkedin": "https://www.linkedin.com/company/blue-bottle-coffee",
12    "reviews_average": 4.5
13  },
14  ...
15]

🚀 Why Choose ScrapeHaven?

• User-Friendly: No coding required. Simply input your search terms and let ScrapeHaven handle the rest.
• Reliable: Built for robust and accurate data extraction.
• Scalable: Designed to handle large-scale scraping tasks with ease.
• Compliant: Follows best practices to ensure ethical and responsible scraping.

Support

For questions, feedback, or assistance, feel free to reach out at williams.asante515@gmail.com