Is it hard to scrape Twitter?
Yes.
Very. But I'm trying to find a good balance between not being too boring and not having enough new tweets.
How many tweets do you get a week? It varies wildly. In fact, I have a tweet rate of 1 tweet per second - most weeks. But at the peak, it was 10 tweets per second.
What is your motivation for tweeting? Making a useful product. My ultimate dream is that the users are satisfied with the product, and I don't really care if I am the one tweeting every single day. That's an ideal scenario. But I think it's much harder to be able to make such a product.
When is the last time you went off-grid? What does that mean? I haven't gone off-grid yet. I have been working from home since two weeks now. The problem is that, even though I work from home, I am still in the office for about 15 hours per week.
Do you think the Internet should be free? I'm not a big fan of paid services. I like services which I feel are necessary - rather than just want.
Do you think there's too much free content on the internet? Absolutely. I think there should be paid versions of everything. I see a big trend of people making their own apps. The old-fashioned software developers have been replaced by the ones who can make the most cool iPhone apps. I don't know whether it is a good thing or not.
How do you plan to monetize your online presence? I hope to sell my products at the end of the month. And I might release the premium version of the app for a one time fee.
Do you think the future of the mobile web is dead? I think there are different directions it could go. There is the trend of native apps which is the way I think we're going. For example, some people are going to build their own social networks. This will be something which is a combination of a blog, an RSS reader and a microblog. But I think we're heading for something which is similar to the desktop web.
Do you think that the way you interact with the web has changed?
How to scrape Twitter followers with Python?
Today we are going to scrap Twitter followers from a specific Twitter profile.
The source of our data will be Twitter Search API. For more information about Twitter API you can visit this official documentation.
We will use Tweepy, a Python Twitter API library that makes it very easy to work with Twitter. I have used Tweepy many times for different projects.
Step #1 - Create Twitter Application. The first step is to create an application on Twitter. This application will allow us to access the Twitter Search API. You can see an example of my created app here.
Step #2 - Fetch Twitter Data. The next step is to obtain the Twitter data in a JSON file format. The process to do that is simple. You just need to click on the "Show JSON" button on the bottom of the Twitter web page. Once you obtain the file, you can easily import it to Python using the following code snippet:
Import json with open('twitter-data.json', 'r') as f: data = json.load(f)
Step #3 - Parse Twitter Data. After getting the JSON file, you are going to parse the file and get the results from the query. The Tweepy library has a beautiful function to parse the data. If we are interested only in the number of followers, we can use the following code snippet:
Import json with open('twitter-data.json', 'r') as f: data = json.load(f) result = json.loads(f. If you have any questions, leave a comment. Thanks for reading!
Download the source code. You can download the source code on my GitHub page. Thanks to: All the code snippets mentioned in the article was taken from the official Tweepy library.
How to scrape Twitter data using Python GitHub?
In this tutorial, we will use the GitHub Python API to build a simple script to scrape the tweets from a given user on Twitter.
Since the API isn't available for everyone yet, I won't go over how to create a Twitter app with the API here. Instead, I will show you some of the steps that I went through to setup Twitter and GitHub.
Let's begin with some important details on your twitter account. # 1. How to get an OAuth access token In order to login to your Twitter account and authorize our web-app to get access to your data, you'll first need to register an app on Twitter. As it is not an essential step to see how to get OAuth access token from GitHub Python API to scrape the data from Twitter using Python, we will skip it. If you would like to know how to register your own Twitter app or want to test your app before generating the key, please visit this documentation.
# 2. How to get the key and secret If you successfully register your Twitter app and get the callback URL, your Twitter app will generate a key and a secret key. In case you are interested in knowing more about it, please see this document.
# 3. Setup the GitHub Python API provides a basic method to fetch the data you need. For the purpose of scraping twitter data, you should be able to get a handle on the username and the JSON structure of the retrieved data.
But there are many methods, and it may depend on your case if you want to get only the tweet or user details. So, here is my code for getting the latest tweets from a given user. This script is very simplified and the JSON structure we get may not be accurate, but it is enough to give you a clue of how to do your work.
Please note that you need to have a Github API key, which is generated by GitHub when you are signed up for the GitHub API. For instructions on how to setup GitHub, please visit this documentation.
# 4. Grab the JSON structure Now, let's have a look at the JSON we get back from Twitter. The result we get contains three keys, id, createdat, and text .
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