Twitter Marketing is a great space for certain types of markets.
But I want you to think about these questions:
1) Are there certain Twitter accounts that your ideal customers would follow?
2) Are there certain types of Tweets that you would like to get your marketing message in front of?
3) Do you prefer to use cold email or Twitter DMs?
Both of these are viable options with TweetScraper.
Twitter email scraping is easy if you use this. The key is really dialing into your ideal target market. This makes it easy to scrape email addresses from Twitter.
Tweestscraper only uses publicly available data - so the info you get is not something your prospects don't have online anyway - but it allows you to gather the information and use it much faster than hiring a VA to do this kind of research.
Try Tweetscraper here:
https://hoply.io/ts
If you plan on using cold-email to contact these leads, I recommend using Instantly. It has a great UI, is easy to setup campaigns in, and allows you to link up multiple sending accounts but have one unified inbox for replies.
This works great for emails extracted from Twitter. You can extract Twitter followers, those who a Twitter account is following, and even those who have engaged with a specific Tweet!
Start using Instantly here:
https://instantly.ai/?via=andrew-murray
TweetScraper is a Python library for scraping tweets from Twitter. It works in a few main ways:
Authentication - It handles Twitter API authentication for you, using API keys/tokens.
Search - It lets you search for tweets by query, username, hashtag, etc. It handles the pagination of results and returns all matching tweets.
Streaming - It lets you stream tweets in real time based on certain filters (keywords, users, languages, etc). It reconnects and handles errors/rate limits for you.
Hydration - It can "hydrate" tweet data by making additional API calls to get full user/media info for each tweet.
So in general, it just wraps the Twitter API and handles a lot of the complexity for you, letting you easily scrape tweets via search or streaming, and get fully hydrated tweet data.
It's useful for data mining/scraping tweets for NLP, sentiment analysis, marketing research, and more. You just pass in authentication details and specify how you want to scrape tweets, and it handles the API complexity under the hood.
If you want to clean up your Twitter account easily and get rid of eggheads and low engagement followers, use this: https://circleboom.com/?via=andrew
#coldemailing
#twittermarketing
#coldemailmarketing
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