#Twitter ticker for my website free#
Top reasons to embed your Twitter feed in your websiteīefore we explore free ways to add your Twitter posts to your website, let's first dive into why you would want to do this.Īfter all, there are so many other marketing tasks you need to tackle.
![twitter ticker for my website twitter ticker for my website](https://techtickerblog.com/wp-content/uploads/2015/01/whatsapp-web-300x192.jpg)
If you'd like to give Curator.io's free forever plan a spin sign up today. In this article, we detail why you should embed your Twitter posts in your website, different tools you can use to do this for free, and a step-by-step tutorial.Ĭurator.io is an easy-to-customize aggregator that lets you pull from over a dozen sources. The benefits are many, and they include keeping your site fresh and maximizing post reach. When it comes to repurposing content, marketers often give the advice that you should turn your website blog posts into social media posts.īut what about the other way around? Why not put some of your social media content in your website? You can read the tweets stored in the file by following:- tweets_data_path='copp.txt' tweets_data= tweets_file=open(tweets_data_path,"r") #read in tweets and store on list for line in tweets_file: tweet=json.loads(line) tweets_data.append(tweet) tweets_file.Embedding your Twitter feed in your website is a smart way to make the most of your content. #create streaming object and authenticate l = MyStreamListener() stream =tweepy.Stream(auth,l) #this line filters twiiter streams to capture data by keywords stream.filter(track=) For example, if you want data regarding covid19 you will use specific words like corona, coronavirus, covid19, etc to filter out the tweets as shown below. Basically, it will extract tweets that contain the words which are valid for our project. We’ll now create a filter that will extract tweets based on certain words that are mentioned. tweet_list= class MyStreamListener(tweepy.StreamListener): def _init_(self,api=None): super(MyStreamListener,self)._init_() self.num_tweets=0 self.file=open("tweet.txt","w") def on_status(self,status): tweet=status._json (json.dumps(tweet)+ '\n') tweet_list.append(status) self.num_tweets+=1 if self.num_tweets<1000: return True else: return False () #import files and give access to tokens and keys import tweepy,json access_token="" access_token_secret="" consumer_key="" consumer_secret="" auth= tweepy.OAuthHandler(consumer_key,consumer_secret) t_access_token(access_token,access_token_secret)Īfter getting access to Twitter data we’ll now create a file to save all the tweets in it.
OAuth essentially allows the user, via an authentication provider that they have previously successfully authenticated with, to give another website/service a limited access authentication token for authorization to additional resources. First, you need to import all the packages required and initialize the token and key variables.
![twitter ticker for my website twitter ticker for my website](https://cdn.winsightmedia.com/platform/files/public/cspdn/main/articles/sunocologoabc.png)
#Twitter ticker for my website code#
Now, we will get on to code to get the tweets.