创建中间人机器人用于两个网站之间的数据传输

Question

我正在开展一个项目，涉及将数据从一个网站传输到另一个网站。我正在寻找有关如何构建充当这两个网站之间的中介或机器人的系统的指导。以下是我想要实现的具体目标：

• 来源网站：https://app.powerbi.com/groups/me/reports/a19b0988-977b-4bec-8369-763f7576191b/ReportSection1467137c44b2802d9a29?experience=power-bi
• 目标网站：https://cloud.uipath.com/najmprtod/portal_/home

我需要创建一个进程，定期从源网站提取数据并将其存储在目标网站上。数据可以包括文本、图像或其他内容。我想自动化此过程，以确保目标网站上的数据始终与源保持最新。 我特别有兴趣了解以下内容：

• 可以帮助促进这种数据传输的工具、库或框架。
• 数据同步和确保数据一致性的最佳实践。
• 在数据传输过程中保护两个网站的安全考虑。

如果您可以提供代码示例或分步说明，我们将不胜感激。

我开始探索两个网站之间数据传输的不同技术和方法。具体来说，我研究了 Beautiful Soup 等网络抓取库和 Selenium 等网络自动化工具，以从源网站提取数据。如果源网站提供用于数据检索的 API，我还考虑使用 API。此外，我开始研究数据库同步技术。

Answer 1

 Creating a Middleman Robot for Data Transfer Between Two Websites

I understand your project's requirements and your initial exploration. Let's break this down into actionable steps with options and sample code examples:

1. Data Extraction from the Source Website:

To extract data from the source website, you can consider using web scraping libraries like Beautiful Soup or web automation tools like Selenium. Below are options:

Option A: Web Scraping with Beautiful Soup (Python)

from bs4 import BeautifulSoup
import requests

source_url = "https://app.powerbi.com/groups/me/reports/a19b0988-977b-4bec-8369-763f7576191b/ReportSection1467137c44b2802d9a29?experience=power-bi"
response = requests.get(source_url)
soup = BeautifulSoup(response.content, 'html.parser')

# Extract and process data from 'soup'

Option B: Web Automation with Selenium (Python)
from selenium import webdriver

source_url = "https://app.powerbi.com/groups/me/reports/a19b0988-977b-4bec-8369-763f7576191b/ReportSection1467137c44b2802d9a29?experience=power-bi"
driver = webdriver.Chrome()
driver.get(source_url)

# Use Selenium to interact with the webpage and extract data
2. Data Transfer to the Target Website:

To transfer data to the target website, you can use various methods:

Option A: Web Scraping with Beautiful Soup (Python
# After extracting data from the source, use Beautiful Soup to construct data for the target website

target_url = "https://cloud.uipath.com/najmprtod/portal_/home"
# Use requests library to send data to the target website
requests.post(target_url, data=data_to_transfer)

Option B: Using APIs (if available on the source or target website)

Check if the source and target websites provide APIs for data transfer. If so, use those APIs for direct data transfer, which is often more efficient and reliable.
3. Data Synchronization and Security:

For data synchronization and security, here are some guidelines:

Implement a periodic job or script to run the data transfer process at specified intervals.
Use secure protocols (HTTPS) for data transfer to ensure security.
Consider authentication and authorization mechanisms if the target website requires them.
Remember to schedule your data transfer process based on your requirements (e.g., daily, hourly, etc.). For more specific assistance, let us know if you have any preferred programming languages or if the websites have APIs available.`enter code here`

Feel free to ask for more details or clarifications on any of these options. Good luck with your project!