We are ready to control our Twitter Account with Python. We use the t_access_token method to store the access request token for our session. In order to be able to make requests to the API, we send back an access token. Tweepy makes it easier to authenticate to the API through our Twitter App secret keys.īelow extract of code, we do this by creating a OAuthHandler instance to handle our login by passing the consumer key and consumer secret as arguments. As mentioned previously, we will use the Tweepy library which will work seemlessly with Twitter API and LunarCRUSH API / LunarSTREAM™.įirst, we import tweepy. Generate V2 API Key Building a Twitter bot with Python, Tweepy, LunarCRUSH Next head to the developers section and click widgets. Introduction to LunarCRUSH - Social Listening For Crypto I have granted my app permission to read, write and send direct messages. From the Twitter Development platform, we are able to edit the app permissions. The developer account should be linked to the Twitter account where you want to have the bot active. This step will automatically generate your consumer API keys and access tokens that you should keep secret. Once you are approved access to the Developers for Twitter, login to the developer site and create your App. You must answer questions on how you plan to use the API and accept the Twitter Developer Agreement and then you will be granted access to the Developer Dashboard. You can apply for a developer account directly here. However, before we are able to use the Twitter API end points, we need to create a developer account and generate our API keys. We can perform multiple tasks through this API. Check out the Twitter API documentation here. Twitter for Developers offers a developer platform that provides access to Twitter API in oder to "Publish and analyze Tweets, optimize ads, and create unique customer experiences" .
Next, we need to create a Twitter developer account. It was interesting to note that LUNC ’s development activity dropped last week, by and large a negative signal for a blockchain.Now we have Tweepy Installed, the Python library which handles a majority of the work. Its one-week price volatility was also up, which could be attributed to the price upticks and corrections. Upon checking Terra Classic’s metrics, it was revealed that its trading volume had surged substantially of late. At the time of writing, it was trading at $0.00006017 with a market capitalization of over $349 million. As per CoinMarketCap, LUNC’s value only moved marginally in the last 24 hours. Is LUNC awaiting a bull run? Though the aforementioned datasets looked bullish on LUNC, things were yet to be reflected on the token’s price chart. Additionally, bullish sentiment around the token also surged by over 64% in the last 24 hours. In fact, as per LunarCrush, LUNC’s Altrank managed to reach nine on 5 September, which was yet another positive signal. These developments looked bullish, as they indicated that the token’s price might witness an uptick. Notably, at press time, over 1.034 trillion LUNC was staked, and its staking ratio reached 15.33%. Not only did LUNC’s burn rate increase in the last week, but stakers’ confidence also saw an improvement. Over the past seven days, over 1 billion tokens have been burned, and in total, the blockchain has burned more than 74 billion LUNC. Terra Classic’s burn rate has surged considerably over the last few days, with $45 million LUNC burned in the last 24 hours until press time. Market indicators suggested a possible price uptick in the coming days. Staking ratio also increased, but price action remains bearish. Terra Classic has burned more than 45 million LUNC in the last 24 hours. Can LUNC’s burn rate save it from the bears?
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