"in the electric mist" free download

August 25, 2021 / Rating: 4.9 / Views: 524

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Get more followers file download

When you Google how to do this, all these companies pop up, offering to do this for you if you pay them a small fee. But Twitter gives you all the tools you need to do it yourself—for free. This short guide takes you through a Python script that helps you to use those tools. At the end of this guide, you get a script that downloads a CSV containing all the followers and/or friends for any public Twitter handle. This file will also contain the following details about each person: To use the Twitter API to download bulk data such as friends and/or followers, you need a developer’s account, a project, and an app. If you already have all these, you can skip this step. If you don’t already have a Developer’s account, get one here: Once you have a developer’s account, you need to generate the authentication tokens that would allow you to connect to the API from a script. In your Developer Portal dashboard, click on the key icon next to your app: I often use files to avoid directly pasting authentication tokens into my script, which makes it safe to make the script public, as my authentication tokens are now hidden. To make it easier to connect to the Twitter API, we will use the Tweepy package. With this package, our script involves four steps:# Read in configsconfigs = configparser. Config Parser()configs.read('./config.ini')keys = configs[' TWITTER']consumer_key = keys[' CONSUMER_KEY'] consumer_secret = keys[' CONSUMER_SECRET'] access_token = keys[' ACCESS_TOKEN']access_secret = keys[' ACCESS_SECRET']# Authenticate Tweepy connection to Twitter APIauth = OAuth Handler(consumer_key, consumer_secret)auth.set_access_token(access_token, access_secret)api = API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True), which is a list of follower ids, or a list of friend ids, depending on the API endpoint we used. A list of ids is almost useless, except for requesting more data that we can actually use. So we submit these ids to info = []for i in range(0, len(ids), 100): try: chunk = ids[i:i 100] info.extend(api.lookup_users(user_ids=chunk)) except: import traceback traceback.print_exc() print(' Something went wrong, skipping...')data = [x._json for x in info]df = pd. Data Frame(data)df = df'id', 'name', 'screen_name', 'location', 'description', 'url', 'followers_count', 'friends_count', 'created_at', 'verified'df.to_csv('followers.csv', index=False)Note that I did not keep all possible details about each follower or friend. If you see a detail in the record that you want to add to your CSV, you can edit the code to include it. Likewise, you can also drop details that you are not interested in saving. Furthermore, keep in mind that if you are friends with someone, and they also follow you, then this person will show up in both the followers list and the friends list. Our script does not deal with this type of post-processing. When you Google how to do this, all these companies pop up, offering to do this for you if you pay them a small fee. But Twitter gives you all the tools you need to do it yourself—for free. This short guide takes you through a Python script that helps you to use those tools. At the end of this guide, you get a script that downloads a CSV containing all the followers and/or friends for any public Twitter handle. This file will also contain the following details about each person: To use the Twitter API to download bulk data such as friends and/or followers, you need a developer’s account, a project, and an app. If you already have all these, you can skip this step. If you don’t already have a Developer’s account, get one here: Once you have a developer’s account, you need to generate the authentication tokens that would allow you to connect to the API from a script. In your Developer Portal dashboard, click on the key icon next to your app: I often use files to avoid directly pasting authentication tokens into my script, which makes it safe to make the script public, as my authentication tokens are now hidden. To make it easier to connect to the Twitter API, we will use the Tweepy package. With this package, our script involves four steps:# Read in configsconfigs = configparser. Config Parser()configs.read('./config.ini')keys = configs[' TWITTER']consumer_key = keys[' CONSUMER_KEY'] consumer_secret = keys[' CONSUMER_SECRET'] access_token = keys[' ACCESS_TOKEN']access_secret = keys[' ACCESS_SECRET']# Authenticate Tweepy connection to Twitter APIauth = OAuth Handler(consumer_key, consumer_secret)auth.set_access_token(access_token, access_secret)api = API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True), which is a list of follower ids, or a list of friend ids, depending on the API endpoint we used. A list of ids is almost useless, except for requesting more data that we can actually use. So we submit these ids to info = []for i in range(0, len(ids), 100): try: chunk = ids[i:i 100] info.extend(api.lookup_users(user_ids=chunk)) except: import traceback traceback.print_exc() print(' Something went wrong, skipping...')data = [x._json for x in info]df = pd. Data Frame(data)df = df'id', 'name', 'screen_name', 'location', 'description', 'url', 'followers_count', 'friends_count', 'created_at', 'verified'df.to_csv('followers.csv', index=False)Note that I did not keep all possible details about each follower or friend. If you see a detail in the record that you want to add to your CSV, you can edit the code to include it. Likewise, you can also drop details that you are not interested in saving. Furthermore, keep in mind that if you are friends with someone, and they also follow you, then this person will show up in both the followers list and the friends list. Our script does not deal with this type of post-processing.

date: 25-Aug-2021 22:01next


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