This workflow automates the process of scraping news articles from Google News and saving them into a Google Sheet. It leverages a scraper model to extract the latest news articles from the specified URL and then appends this data into a Google Sheet. Ideal for:
Bardeen not only supports Google Sheets but also other platforms like Notion, or Airtable for storing scraped data. You can customize the workflow to scrape news based on specific queries or regions by adjusting the URL or scraper model.
Note: The scraper model can be tailored for different languages, regions, or specific types of news articles, making this workflow highly versatile.
Automate your news gathering with Bardeen and keep your datasets updated effortlessly.
To start, ensure you have the Bardeen app installed on your device.
Open the Bardeen app and go to the Magic Box. Input the following prompt:
Scrape Google News then save into Google Sheets
Set up the necessary integrations for the workflow. This includes the Scraper for extracting news articles from Google News and Google Sheets for saving the scraped data.
Proceed to run the workflow. This workflow is designed to:
Scraping Google News involves extracting news articles from Google News for various purposes like market research, sentiment analysis, or simply staying updated with the latest news. There are multiple ways to achieve this, including using Python libraries or Google Sheets functions. Each method has its own set of steps and requirements.
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Python offers powerful libraries like BeautifulSoup and Selenium for web scraping, which can be utilized to scrape Google News. BeautifulSoup is effective for simple web pages, while Selenium is ideal for dynamic pages that rely heavily on JavaScript. Both methods require understanding the structure of Google News pages and identifying the necessary data elements such as news titles, links, and publication dates.
To start with BeautifulSoup, you need to install it using pip. Then, inspect the Google News page to identify the tags containing the news items. With BeautifulSoup, you can select these tags and extract the desired information. However, for pages loaded dynamically with JavaScript, Selenium is a better choice. After installing Selenium and the necessary web driver, you can automate a web browser to load Google News, mimic user behavior, and scrape the data.
Another approach involves using the Google News API, which provides structured data in JSON format, making it easier to process and analyze. This method requires obtaining an API key and making a request with the desired parameters.
For those looking for a no-code solution, Google Sheets offers the IMPORTFEED function. This function can import data from RSS or ATOM feeds directly into a spreadsheet. By using the formula =IMPORTFEED(url, [query], [headers], [num_items]), you can specify the news feed URL and customize the data import according to your needs. This method is straightforward and doesn't require any programming knowledge.
However, IMPORTFEED has limitations, such as the inability to import data from web pages that do not offer RSS or ATOM feeds. In such cases, or when more advanced scraping capabilities are needed, using Python or another programming language might be more appropriate.
Streamline your data collection and analysis by automating the scraping process with Bardeen. Get started today!
With our new Bardeen version, you can easily extract data from any website and discover new leads across the web. After extracting data from a website, use Bardeen’s powerful automation tools to validate and enrich your data, run additional scrapers on linked pages, or leverage AI to qualify leads and generate content automatically. Once your data is ready, you can easily export it to CSV, Google Sheets, Airtable, or Notion for further analysis and reporting.
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