You can use startswith instead of find: for x in temp if x. The list is constantly moving but here were the top 30 posts on 6 October at approximately 9 pm (British Summer Time, GMT+1). These trends are nothing but trending hashtags that the users are tweeting about. These trends may help you in search engine optimization, social media marketing, emails marketing and search engine marketing etc. Twitter shows trends in order to make its users aware of the trending news. 'query': '%23Kad%C4%B1nlarKamyon%C5%9Eof%C3%B6r%C3%BCOlursa', The rank of trending hashtags on twitter from the World is based on the number of tweets per 20K tweets coming from the World in timespan of of right now to last 51 minutes.

In your example you have a single entry in your list, consisting of nested dicts with key value 'trends' each value is a another dict, the one you are interested in is 'name' and in particular if it starts with '#': In : I'm new to python so please explain your choices. Is this a python list, containing several dictionaries? How can I extract hashtags out of that data and save them into new variables? Twitter Trends is a web-based application that automatically detects and analyzes emerging topics in real time through hashtags and user mentions in tweets. Gives me data about globally trending topics that is structured like this: These are the list of today’s top Recent twitter trending Hashtags and topics in Indonesia, Updating Every 30 Minutee. Using the Twitter API and tweepy module, I want to monitor the trending topics and extract hashtags out of the data.Īuth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)Īuth.set_access_token(ACCESS_KEY, ACCESS_SECRET) To create a Twitter Trending HashTags, type a pound sign () before a word or phrase, and dont use spaces or punctuation (even if you use multiple words in a.

Trending on twitter