Extraction pipeline from flight radar web site

If you're looking to use Python with Selenium to scrape flight data from a website that displays live flight information (such as FlightRadar24), here's a general approach. Keep in mind that you should always check a website's terms of service and robots.txt to ensure that you're allowed to scrape data.


### Requirements:

- Install Selenium using pip:

 ```bash

 pip install selenium

 ```

- Download a WebDriver (e.g., ChromeDriver) and place it in your PATH or provide its location in the code.

- If scraping frequently or on a large scale, consider using an official API if available.


### Example: Scraping Flight Data from a Public Website Using Selenium


```python

from selenium import webdriver

from selenium.webdriver.common.by import By

import time


# Set up the WebDriver (adjust the path if needed)

driver = webdriver.Chrome(executable_path="/path/to/chromedriver")


# Open the flight radar website

url = "https://www.flightradar24.com/"

driver.get(url)


# Let the page load (you might need to adjust the time)

time.sleep(10)


# Extract flight information from the page

# This example assumes there's a table of flights with unique identifiers, modify selectors as needed


flights = driver.find_elements(By.CSS_SELECTOR, '.list-row') # Modify to fit the website's structure


flight_data = []


for flight in flights:

  flight_info = {}

   

  try:

    # Modify selectors according to the site's structure

    flight_info['flight_number'] = flight.find_element(By.CSS_SELECTOR, '.flight-number').text

    flight_info['departure'] = flight.find_element(By.CSS_SELECTOR, '.departure').text

    flight_info['arrival'] = flight.find_element(By.CSS_SELECTOR, '.arrival').text

    flight_info['status'] = flight.find_element(By.CSS_SELECTOR, '.status').text

    flight_data.append(flight_info)

  except Exception as e:

    print(f"Error extracting data for a flight: {e}")


# Print the extracted flight data

for flight in flight_data:

  print(flight)


# Close the driver

driver.quit()

```


### Key Points:

- **Selectors**: Use browser developer tools to inspect the webpage and identify the correct CSS selectors for the flight data you want to scrape.

- **Delay/Timeout**: Some websites may use dynamic content loading, so adding `time.sleep()` or WebDriver waits for elements to load can help ensure accurate data scraping.

  

### Example Output:

```python

{

  "flight_number": "AA123",

  "departure": "JFK",

  "arrival": "LAX",

  "status": "On Time"

}

```


If you have a specific site or need further customization, let me know!

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