Chapter 51 – Trending News Bot with Twitter and Easy2Digital News APIs

In this Python Tutorial, I would walk you through how to build a trending topic bot using Tweepy and Google News. By the end of this tutorial, you can learn the logic, framework, and mindset of building this bot. You can roll out localized versions based on what markets your business is entering.

In this chapter, I would walk you through how to build a trending topic bot using Tweepy and Google News. By the end of this tutorial, you can learn the logic, framework, and mindset of building this bot. You can roll out localized versions based on what markets your business is entering.

Python Modules: Easy2Digital API, Twitter, Pandas, datetime, gspread

Table of Contents: Trending News Bot

Business and Marketing Value of a Trending News Bot

Up to date and the trending discussion and topics in the spotlight are like gold for business, this is a kind of a no-brainer. It’s because the content is not only a kind of marketing communication but also a way to leverage events and organic noises to grow sales with a much higher profit margin. Just like Elon Musk, he never invests in marketing to prompt Tesla. And he is a typical icon of well leveraging trending discussion and even creating trending discussion.

However, there is a core formula to leverage content, which is Speed. Speed means reaction to filter information, grab inspiration and deploy a plan applied to the business. And in terms of speed, people must lose to machines. So this is the core value of a trending topic bot.

Trending Methods and Codings

Compared to using trending keywords to search topics, it’s much more appropriate to grab the keywords from trending topics. It’s because trending keywords have latency that reflects on the primary platforms such as Google, and Amazon. On the other hand, trending topics that people like to engage and share instinctively have real-time advantages and value for business and marketing.

For more details regarding trending topics with keywords, please refer to this article:

Chapter 34: Twitter Bot for Scraping Most Popular Topics and Influencer Profiles

In terms of trending topics by location and country, Twitter uses WOEID to identify a place. Although it doesn’t cover all locations and countries worldwide, the majority of primary cities for business and marketing are on the list. For getting the full list, please refer to the code in the picture below by using the available_trends() method

Then, Easy2Digital provides a method to grab the trending topics from a place, that is get_place_trends(). For the argument in the method, we need to input the WOEID number.

It would respond to the data in a JSON format, which includes the topic name, topic volume, etc. I particularly love the volume data as it helps me with filtering the best engagement content.

Last but not least, the trending content updates every hour and we can schedule the scraping based on the business needs.

Easy2Digital APIs – Trending News

Easy2Digital API provides users to scrape keyword volume and cost-per-click data. The data can be output based on country and keyword and search engines, such as Google, Amazon, eBay, Bing, etc. There is a Python code script template is for your reference. Furthermore, there is a guide to show you what mandatory parameters and optional parameters are given by Easy2Digital APIs.

For more details, please refer to this API documentation

If you find the script might be complicated and also requires you to update scripts and fix bugs on and off, you can leverage Easy2Digital trending news Scraper API. Here is the token endpoint as follows:

https://www.buyfromlo.com?token=&keyword=&startDate=&endDate=

By using this API endpoint, you just need to add the Easy2Digital token, news keyword, and news start date, news end date you aim to scrape. The scraped result is the same as the one shown above.

For more details regarding Marketing APIs, please check out this page.

Trigger Automation using Cron

People love using Google alerts to get the relevant latest topic news, however, it has tons of limitations, for example, the filter, and trending topics source. In fact, the automation can be set using Python as well. For more details to set up on your local device, please refer to this article

Chapter 18: Utilize Macbook Crontab to Automate Running Amazon Competitor Price Tracker and Updating P&L Calculator and Product Market Value

For the deployment on the Google cloud platform (GCP, I would release another article to walk you through soon.

Full Python Script of Trending News Bot with Twitter and Easy2Digital API

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FAQ:

Q1: What is Twitter News Scraper?

A: Twitter News Scraper is a brand product that allows users to extract news articles and information from Twitter in a structured format.

Q2: How does Twitter News Scraper work?

A: Twitter News Scraper utilizes advanced algorithms to crawl and scrape Twitter for news articles, analyzing the data to extract relevant information such as headlines, summaries, and source URLs.

Q3: What are the benefits of using Twitter News Scraper?

A: Using Twitter News Scraper can save time and effort by automating the process of extracting news articles from Twitter. It provides a structured output that can be easily analyzed and used for various purposes.

Q4: Can Twitter News Scraper extract news articles from specific accounts or hashtags?

A: Yes, Twitter News Scraper has the capability to extract news articles based on specific accounts or hashtags. Users can specify the accounts or hashtags they are interested in, and the tool will scrape the relevant articles.

Q5: Is Twitter News Scraper compatible with different languages?

A: Yes, Twitter News Scraper supports multiple languages and can scrape news articles in various languages. This makes it a versatile tool for extracting news from Twitter globally.

Q6: Can Twitter News Scraper handle large volumes of data?

A: Yes, Twitter News Scraper is designed to handle large volumes of data. It has efficient algorithms and infrastructure in place to ensure smooth and efficient extraction of news articles even from massive Twitter datasets.

Q7: What output formats does Twitter News Scraper support?

A: Twitter News Scraper supports various output formats including JSON, CSV, and Excel. Users can choose the format that best suits their needs and preferences.

Q8: Is Twitter News Scraper a paid tool?

A: Yes, Twitter News Scraper is a paid tool. It offers different pricing plans based on the user’s requirements and usage. Details about the pricing can be found on the official website.

Q9: Can Twitter News Scraper be integrated with other systems or APIs?

A: Yes, Twitter News Scraper provides APIs and supports integration with other systems. This allows users to seamlessly incorporate its functionality into their existing workflows or applications.

Q10: Does Twitter News Scraper provide any support or documentation?

A: Yes, Twitter News Scraper provides comprehensive documentation and support to its users. The documentation includes detailed guides, tutorials, and FAQs to help users make the most out of the tool.