Scrape Google News, Save to Sheets in 2024

Workflow Overview

This workflow scrapes Google News articles based on your queries and saves them into Google Sheets, streamlining your content research.

Inputs

Google News URL
Scraper model
Google Sheet for storing results

outputs

Google News articles saved in a Google Sheet

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:

Monitoring news for specific keywords or topics
Gathering data for content research and analysis

Bardeen not only supports Google Sheets but also other platforms like Notion, Coda, 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.

Step 1: Install the Bardeen App

To start, ensure you have the Bardeen app installed on your device.

Step 2: Navigate to the Magic Box

Open the Bardeen app and go to the Magic Box. Input the following prompt:

Scrape Google News then save into Google Sheets

Step 3: Integrate the Workflow Integrations

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.

Step 4: Run the Workflow

Proceed to run the workflow. This workflow is designed to:

Scrape news articles from Google News.
Then, it will append the scraped articles into a specified Google Sheet.

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How to Efficiently Scrape Google News Articles to Google Sheets?

Scrape Google News

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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Using Python for Scraping Google News

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.

How to Add Live News to Google Sheets

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.