How to Scrape Weather Data with Python and Auto‑Email It Daily

Learn how to use Python's BeautifulSoup to scrape real‑time weather data from Sohu Weather, format the information, and automatically send it via email using SMTP, with step‑by‑step code examples and tips for handling different email providers.

Python Crawling & Data Mining
Python Crawling & Data Mining
Python Crawling & Data Mining
How to Scrape Weather Data with Python and Auto‑Email It Daily

In the previous tutorial we scraped real‑time weather information from a website using Python. This article extends that by automatically emailing the collected data.

The target site is Sohu Weather, and we use BeautifulSoup selectors within a get_weather function to extract city, weather condition, current temperature, low/high temperatures, air quality, and PM2.5 values.

Weather page screenshot
Weather page screenshot

After obtaining the data, we define a send_email function that connects to an SMTP server, logs in with the sender’s credentials, and sends the formatted weather report to a list of recipient email addresses. The script works with various email providers such as Sohu, 163, QQ, Gmail, etc., by adjusting the SMTP server settings.

send_email function code
send_email function code

Running the program with the example city Dalian produces a screenshot of the received email, confirming that the weather details match the scraped data. The article also provides a quick reference of common SMTP server addresses and a table of PM2.5 air‑quality standards.

Email received in Sohu mailbox
Email received in Sohu mailbox

By following these steps, readers can automate daily weather forecasts via email using Python web‑scraping and SMTP.

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PythonWeb ScrapingbeautifulsoupSMTPemail automation
Python Crawling & Data Mining
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Python Crawling & Data Mining

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