Webscraper request interval how to#

In our case, the COVID-19 case data is in the class called “maincounter-number” so the bsObj.find_all(…) is called to find all values we interested in. The requests is used to make a GET request to the URL and then the BeautifulSoup is used to query the specific class of the HTML body. So I would give only a short brief of this script. This technique has been shown several times already. The best of all, the AWS Lambda is in the Always Free Tier service! (As of May 2020) It allows us to make a request up to 1 million requests per month! For example, if we scrape the dataset from internet every 1 minute, that is only 43200 requests per month (60 * 24 * 30). With the AWS Lambda, we can also work sync easily with files in the AWS S3 bucket. Hello, AWS Lambda! λįor this reason, I would like to introduce the AWS Lambda a compute service from Amazon where you can run or schedule any of your Python script (or other programming languages like Java, Go, Node.js, Ruby, C#, …) without maintaining a server yourself. For a small project, it may not worth renting/hosting a server yourself for this purpose. However, scheduling such a Python project needs a server machine that running all the time.

Webscraper request interval how to#

Some articles had already shown examples of how to do this easily in Python. Gathering data yourself by scraping them from the update real-time source is one of a solution to get data you desire for. Most available open COVID-19 sources are available only in daily intervals however, the data in higher resolution seems to be important to find relations to other parameters such as air quality, environmental conditions, etc. For the COVID-19 pandemic, the number of cases changing all the time. In several projects, data sources are dynamically changing, updating fast. In Data Science, getting the complete data source is one of the most important things.