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I've been thinking to write this blog article for quite some time. Mainly because this is a frequent request for assistance, and it would be easier to have an appropriate article to direct people to constantly rewrite the same responses.
According to my support tickets, a lot of customers want to be able to extract data from Twitter accounts, such as their tweets or followers count. Twitter has over 340 million users and over 500 million tweets are posted every day.
As you can imagine, that means there is a lot of useful data on Twitter waiting to be used for other purposes.

A single tweet can tell you about

• Demographics of people who liked or retweeted the tweet
• Total number of clicks on a profile
• How many people saw the tweet?
This article will explain how to do all of these things and more.
Create a Twitter Profile URL List
The Twitter Profile Scraper is probably the least imaginative tool on the planet.

Create a profile URL.

This means that you have to "feed" it with URLs in order to use it. In the case of data mining from Twitter, the URLs in question should be the URLs where the data is displayed publicly, i.e. Twitter profile pages.

That kind of jazz.

If you don't yet know the profile URLs but do know the website, you're in luck, because Twitter Profile Scraper will scrape them for you. Based on the above, import your list of website addresses into the white box on the right, then click “Social Accounts”.
How to extract data from Twitter profile pages Twitter Profile Scraper will search these websites' common pages and attempt to extract any social profile connections it can locate (including Twitter, of course). You won't always be able to find everything that isn't perfect, but it's much faster than going through all the pages manually.

Turn on the United Lead Scraper

Twitter Profile Scraper has a number of built-in features that allow you to extract common data from web pages, including:
Social account URL (as above)
E-mails
Page titles and descriptions
We have a lot of customers who use this data to build lead lists, and sometimes we find that they need more data than we give them.
Luckily we have a tool to help these great people called the United Lead Scraper. This allows you to specify particular data points for a specific web page, load thousands of URLs, and delete them.
This is especially useful when you want to extract structured data from many similar web pages. Directories are a good example, as their list pages are always configured the same. So, from the following example, we could configure the tool to scrape the name of the company, or its phone number, address, etc.
Fortunately (due to the topic of this article), the Twitter profile pages are also very well structured, which means we can use United Lead Scraper to pull the data we need.
If you can't find a united lead scraper, you're probably looking in the wrong place.
United Lead Scraper works by letting you identify the parts of a web page that you want to scrape using selectors. Once you have checked the box above.

Scrape Twitter Profile Pages

In this section, we'll need a big list of form URLs:
Anything that is "permanent" can be deleted, which is why we are talking about: Name and user
The description
Site
Web address
Tweets / Following / Followers / Likes

How to run and extract Twitter Profile Scraper

The Twitter platform enables well-known users to obtain information about people's profiles in a professional manner. Most people want to get information from company profiles like company title, website link, address, followers, profile follow, or bio, if you want the information. As we mentioned, then you are at the right place.
There are many tools available in the market for extracting data from Twitter, but you need to choose wisely. Twitter Profile Scraper is the best option if you are looking for a tool that efficiently extracts data. Twitter Profile URL Extractor may cross out profile title, address, website link, tracking, followers, and date listed in search results.
Open the United Lead Scraper tool and put Twitter into the Paid Website Scrapers search box, then click the search button; the project script "twitter.com" will appear on the screen. Then click on Run the extractor. And the data will be extracted in minutes. You can also save the extracted data to CSV or EXCEL files."

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