1. Go to the Google Maps Platform website and create a new project.
2. Enable the Google Maps JavaScript API for your project.
3. Create a new API key and restrict the API key to your domain name.
4. Add the Google Maps JavaScript API to your web page, using the JavaScript code provided by Google.
5. Set up your map container using HTML and CSS on your web page.
6. Initialize your map script using JavaScript and the API key you generated earlier.
7. Configure and customize your map using various options and methods available in the Maps JavaScript API documentation, such as adding markers or overlays, displaying directions, and more.
8. Integrate your map-based system with any other technologies, such as a backend system or a database, that you might need to provide additional functionality.

1. Using libraries and frameworks like Beautiful Soup, Scrapy, and Selenium
2. Making HTTP requests to retrieve HTML content and parsing the data
3. Utilizing regular expressions to extract specific data from the HTML
4. Implementing API scraping to retrieve data from websites that have a RESTful API
5. Using browser extensions like Data Miner, Web Scraper, and Scraper by ParseHub
6. Scraping data from web pages using Google Sheets formulae and functions
7. Utilizing machine learning algorithms to extract relevant data

1. Install the pymongo package by running the following command in your command prompt or terminal: pip install pymongo
   
2. Import the package and connect to your MongoDB server by creating a MongoClient object: ```python from pymongo import MongoClient
   

Establish a connection to MongoDB

1. Create a new database and collection to store your data: ```python # Create a new database db = client['my_database']

Create a new collection called my_collection

1. Insert your scraped data into the collection: ```python # Data to be inserted data = {'name': 'John', 'age': 30}

Insert the data into the collection

1. Data Visualisation: You can visualize the data on the map by adding markers for each tree planting contract. Each marker can be clickable and show more information such as bid price and the tree price.
   
2. Obtain latitude and longitude coordinates for the locations you want to mark on the map.
   
3. Choose a map visualization tool or platform that supports marker placement, such as Google Maps, LeafletJS, or Mapbox.
   
4. Create a new map, or select an existing map to which you want to add markers.
   
5. Using your chosen map tool, add a marker layer or feature to the map.
   
6. Input the coordinates for each location you want to mark on the map, and add any additional information or icons you wish to include with each marker.
   
7. Customize the marker colors, icons, and labels to match the type of data you are visualizing.
   
8. Preview and save your map, and share it with your intended audience.
   

1. First, create an HTML file and name it something like "google-maps.html". Inside the file, create a basic HTML structure with a head and body section.
   
2. In the head section, include the necessary CSS files and also include the Google Maps API script using the following code:
   html
   Note: You need to replace "YOUR_API_KEY" with the actual API key for Google Maps API.
   
3. In the body section, create a div with an ID of "map" where the Google map will be displayed:
   html
   
   
4. Create a CSS file and link it to the HTML file. Use CSS to style the "map" div as well as any other elements that you want to include in your website.
   
5. In a JavaScript file, create a function that initializes the Google Map with the help of the API.
   ```javascript function initMap() { // Specify the coordinates for the center of the map var center = { lat: 40.712776, lng: -74.005974 };
   // Create a new map object var map = new google.maps.Map(document.getElementById('map'), { zoom: 12, center: center }); } ```
   
6. Finally, call the "initMap()" function in your HTML file to display the map:
   html ...
   

1. Use PayPal and select "Goods and Services" when sending payments. This guarantees a refund in case you get scammed.
2. Pay in milestones. Consider paying for the project in stages as the work is completed, rather than paying the entire fee upfront. This can provide protection for both the client and the freelancer. Our policy requires payment of half of the total fee upfront, with the remaining balance due upon receipt of the completed task.
3. Protect your personal information. Avoid revealing your name, birthday, social security number, home address, phone number, or school to protect your privacy.
4. Interview writers and request samples before hiring. Ask them about their knowledge, expertise, and experience related to your project, and request samples of their work. This can help you make an informed decision.
5. Check for plagiarism. Use tools like Google to check for matching text and ensure that citations are properly added to ensure that the work you pay for is original.

• AMD Ryzen 7 7700X Raphael AM5 4.5GHz 8-Core Processor
  
• ASUS X670-P PRIME AMD AM5 ATX Motherboard
  
• Corsair Vengeance RGB 32GB (2 x 16GB) DDR5-5600 PC5-44800 CL36 Dual Channel
  
• Corsair RMx Series RM850x 850 Watt 80 Plus Gold ATX Fully Modular Power Supply
  
• ASRock AMD Radeon RX 7900 XT Triple Fan 20GB GDDR6 PCIe 4.0 Graphics Card
  
• Samsung 980 Pro SSD 1TB M.2 NVMe Interface PCIe Gen 4x4 Internal Solid State
  
• Seagate BarraCuda 2TB 7200 RPM SATA III 6Gb/s 3.5" Internal SMR Hard Drive
  
• Deep Cool AK400 Performance CPU Cooler
  

• AMD Ryzen 7 7700X Raphael AM5 4.5GHz 8-Core Processor
  
• ASUS X670-P PRIME AMD AM5 ATX Motherboard
  
• Corsair Vengeance RGB 32GB (2 x 16GB) DDR5-5600 PC5-44800 CL36 Dual Channel
  
• Corsair RMx Series RM850x 850 Watt 80 Plus Gold ATX Fully Modular Power Supply
  
• ASRock AMD Radeon RX 7900 XT Triple Fan 20GB GDDR6 PCIe 4.0 Graphics Card
  
• Samsung 980 Pro SSD 1TB M.2 NVMe Interface PCIe Gen 4x4 Internal Solid State
  
• Seagate BarraCuda 2TB 7200 RPM SATA III 6Gb/s 3.5" Internal SMR Hard Drive
  
• Deep Cool AK400 Performance CPU Cooler