A Quick Method To Extract Tweets and Replies For Free Twitter is beginning to take over the social media realm. As more communities move to Twitter, we begin to see how valuable data is to advertisers, researchers, and even consumers. Data is now the next gold rush as we begin to understand how data needs to be extracted, transformed, loaded, and for full benefit, turned into Information. In theory, like gold, data is a commodity. In this article, I plan to explain how easy it is to scrape Tweets from Twitter in Python3 using Tweepy’s Twitter API. This data can be accessed by Twitter’s API  and Tweepy which ended up being the most successful method. I plan to focus on scraping specific user Tweet replies, since I have not discovered any tutorials which specifically highlight how to extract Tweet replies. If you want to jump straight into the code then you can find the full code on my Github .The Python code requires your Twitter API and consumer keys, as well as the Twitter username you plan to extract replies, and the Tweet ID. Setting up Twitter Development Account & Tweepy Make sure you have Python installed on your machine. If you do not, I suggest using , otherwise read the official to find additional resources. Anaconda Python documentation To perform Twitter operations from your machine, I suggest using . To install Tweepy, navigate to your environment and run: Tweepy Python3: pip install tweepy If you’re using Anaconda for Python: conda -c conda-forge tweepy install Developers for Twitter If you would like to interact with Twitter from a computer or machine, you will need to . The application is straight forward, be honest with your intentions within the application, and you will become approved if you are deemed trustworthy from Twitter. Once approved, you will be able to create an app on the platform which provides you with credentials to authorize from Tweepy or your Python Twitter library. apply for Twitter Developers Twitter for Developers provides access to the Twitter API in order to Publish and analyze Tweets, optimize ads, and create unique customer experiences. Check out the . Twitter API documentation here Before you are able to use the Twitter API endpoints, create a developer account and generate your API keys. . 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 Once you are approved access to the Developers for Twitter, log in to the and create your App. This step will automatically generate your consumer API keys and access tokens, remember, you should keep them secret: developer site The developer account should be linked to the Twitter account where you want to have the bot active. From the Twitter Development platform, you are able to edit the app permissions. In my example, I have granted my app permission to read, write and send direct messages. Twitter Authentication with Python We must import Tweepy then OAuth interface to collect data as well as csv, and ssl. csv tweepy ssl
ssl._create_default_https_context = ssl._create_unverified_context consumer_key = consumer_secret = access_token = access_token_secret = auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth) import import import # Oauth keys "YOUR_CONSUMER_KEY" "YOUR_CONSUMER_SECRET" "YOUR_ACCESS_TOKEN" "YOUR_ACCESS_SECRET" # Authentication with Twitter To collect tweet replies for a specific user and tweet, we must list the username of the user being scraped, as well as the Tweet ID which can be found by copying from the URL. name = tweet_id = replies=[] tweet tweepy.Cursor(api.search,q= +name, result_type= , timeout= ).items( ): hasattr(tweet, ): (tweet.in_reply_to_status_id_str==tweet_id):
            replies.append(tweet) # update these for whatever tweet you want to process replies to 'LunarCRUSH' '1270923526690664448' for in 'to:' 'recent' 999999 1000 if 'in_reply_to_status_id_str' if Since I was hoping to analyze the responses, I decided to export all replies to a .csv file format which can be opened in Microsoft Excel or Google Sheets. Here’s a brief glimpse of the returned csv: user,text
CryptoEntuziast,@LunarCRUSH @zilliqa  ofcourse 🚀🚀🚀😎😎😎
ecossexrp1,@LunarCRUSH $VET $XRP 👌🏻
crypto19711,@LunarCRUSH @DAPScoin the best privacy coin this world! / FHs3cYFmK
lacryptohero,@LunarCRUSH @Theta_Network
Greenmi74576867,@LunarCRUSH / 77V
SplendidMite,@LunarCRUSH DAPS_CLimaDelta, DigiBur,@LunarCRUSH M_SRHI,@LunarCRUSH $ICX 💎 $ELA 💎❤️ $NOIA💎
SURAJ_041,@LunarCRUSH @electroneum GbhoyDownUnder,@LunarCRUSH @maticnetwork
jodibreeze86,@LunarCRUSH Zilliqa Vechain
ghurabar1,@LunarCRUSH $EWT
SamManzi,@LunarCRUSH @NoiaNetwork  @NoiaFr  $NOIA
IamDavidGC,@LunarCRUSH Proud of DigiByte community technology. $dgb
holder2017,@LunarCRUSH @Falcon_SBS Lilt8888,@LunarCRUSH It would have to be $ICX
Creeptwo_guy13,@LunarCRUSH That question is way too easy. Absolutely its $ICX BitStreetSheep,@LunarCRUSH jms3333333,@LunarCRUSH LInk UBT KNC EWT SOLVE
einnorka,@LunarCRUSH Digibyte
HamishDonalds0n,@LunarCRUSH $icx $vet $zil $ada $eth $link
amity3013,@LunarCRUSH $zil you know it
elianhuesca, AaronMilo,@LunarCRUSH majjjubu,@LunarCRUSH Chz
Benjy25680913,@LunarCRUSH $LUNARCRUSH
ItchyTommi,@LunarCRUSH / 8l2WwP3qK  Stakenet. The one only
siggebaskero,@LunarCRUSH DanXrp,@LunarCRUSH $VET no doubt
crypto1618,@LunarCRUSH thelionshire,@LunarCRUSH ICON $icx
ChillMa27939777,@LunarCRUSH BeholdTheBeard,@LunarCRUSH Tezos $XTZ Theta $THETA
lennyshots,@LunarCRUSH Shatochzi,@LunarCRUSH $CHZ RonDalton01,@LunarCRUSH Realmikeleonard,@LunarCRUSH Incognitor00st1,@LunarCRUSH $DGB  🔥
Cryptowhale1 ,@LunarCRUSH $ICX / WQTbyPkpEB
XxVegetta,@LunarCRUSH We are DAPS soliders  I have been dedicated to our project years I think many years to co… / QLk7kKJkhk
CaliCryptoCo,@LunarCRUSH $ICX man
MoonShotCaller,@LunarCRUSH Dominic_LTC_DGB,@LunarCRUSH @DigiByteCoin
GrowlerGregg,@LunarCRUSH $LINK
adflondon,@LunarCRUSH We all know its $ICX
SajawalOnTech,@LunarCRUSH To many projects but I guess $Wan $link $Zil $Icx
IconPilipinas,@LunarCRUSH $ICX
jonade,@LunarCRUSH $ZIL
twills2,@LunarCRUSH Do we really have to say it......   $zil 🚀 in https: /t.co/x https: /t.co/vwmznwu #VeChain $VET "@LunarCRUSH Because I am judging a project for the best technology, transparency, reliable team and dedicated commu… https://t.co/6xS9vdx1oY" #digibyte #ETN . and and #FNT token traded on #exchanges.  #Anonymous coin #FNC is not traded anywhere.  connected b… https://t.co/0mz7bmaG1k #ICON. #VeChain without question "@LunarCRUSH @decredproject by far: hybrid PoW/PoS blockchain, formal governance in place, Treasury with 10% of bloc… https://t.co/oRnMc4UD5P" #digibyte https://t.co/000HoTfLqB https: /t.co/y and #PIVX thanks to _Community who's doing a great job 💜 Engaging with a growing community like… https://t.co/CBlhJm7gZj @PIVX #icx #Zilliqa #ZIL ✌😎 #DigiByte #chiliz #VET #XMR no doubt about it 0 https: /t.co/ for 2 and for https: /t.co/ #VeChain 💙  $VET Full Python Code You can view all of the code to get this working by visiting . this link csv tweepy ssl

ssl._create_default_https_context = ssl._create_unverified_context consumer_key = consumer_secret = access_token = access_token_secret = auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth) name = tweet_id = replies=[] tweet tweepy.Cursor(api.search,q= +name, result_type= , timeout= ).items( ): hasattr(tweet, ): (tweet.in_reply_to_status_id_str==tweet_id):
            replies.append(tweet) open( , ) f:
    csv_writer = csv.DictWriter(f, fieldnames=( , ))
    csv_writer.writeheader() tweet replies:
        row = { : tweet.user.screen_name, : tweet.text.replace( , )}
        csv_writer.writerow(row) import import import # Oauth keys "XXX" "XXX" "XXX" "XXX" # Authentication with Twitter # update these for the tweet you want to process replies to 'name' = the account username and you can find the tweet id within the tweet URL 'LunarCRUSH' '1270923526690664448' for in 'to:' 'recent' 999999 1000 if 'in_reply_to_status_id_str' if with 'replies_clean.csv' 'w' as 'user' 'text' for in 'user' 'text' '\n' ' ' Final Thoughts Within a few lines of code, your configurable Twitter reply scraper now pulls data from Twitter and automatically saved Tweet replies to your machine. There are a few things that can be done to improve the code, such as mapping multiple replies, or getting the responses from those that replied to the original post. Please let me know in the comments if you have any questions or suggestions. Share your knowledge, open source your projects , participate in a community (any community!), and maybe just maybe publish a blog post about it. Knowledge is Power! Thank you For Reading Constructive criticism and feedback is welcomed. Nicholas Resendez can be reached on Instagram , on and Twitter for updates on new articles. @nirholas LinkedIn , @nickresendez

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Scraping Tweet Replies with Python and Tweepy Twitter API [A Step-by-Step Guide]

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