{"id":2224,"date":"2023-10-15T08:38:08","date_gmt":"2023-10-15T03:08:08","guid":{"rendered":"https:\/\/python-programs.com\/?p=2224"},"modified":"2023-11-10T11:41:13","modified_gmt":"2023-11-10T06:11:13","slug":"how-to-code-a-scraping-bot-with-selenium-and-python","status":"publish","type":"post","link":"https:\/\/python-programs.com\/how-to-code-a-scraping-bot-with-selenium-and-python\/","title":{"rendered":"How to Code a Scraping Bot with Selenium and Python"},"content":{"rendered":"

Selenium is a powerful tool for controlling web browsers through programs and performing browser automation. Selenium is also used in python for scraping the data. It is also useful for interacting with the page before collecting the data, this is the case that we will discuss in this article.<\/p>\n

In this article, we will be scraping the investing.com to extract the historical data of dollar exchange rates against one or more currencies.<\/p>\n

There are other tools in python by which we can extract the financial information. However, here we want to explore how selenium helps with data extraction.<\/p>\n

The Website we are going to Scrape:<\/h2>\n

Understanding of the website is the initial step before moving on to further things.<\/p>\n

Website consists of historical data for the exchange rate of dollars against euros.<\/p>\n

In this page, we will find a table in which we can set the date range which we want.<\/p>\n

That is the thing which we will be using.<\/p>\n

We only want the currencies exchange rate against the dollar. If that\u2019s not the case then replace the \u201cusd\u201d in the URL.<\/p>\n

The Scraper\u2019s Code:<\/h3>\n

The initial step is starting with the imports from the selenium, the Sleep function to pause the code for some time and the pandas to manipulate the data whenever necessary.<\/p>\n

\"How<\/p>\n

Now, we will write the scraping function. The function will consists of:<\/p>\n