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2. #Profile Data Scraping
# Name
# Profile Handle
# Count Of Followers
# Count Of Followings
# Number Of Tweets
# Profile Link
# Title
# Title Link
# Icon
# Replies
# Retweet
# Like
# Image
# Time
Discover
# Twitter is amongst the most tracked social networking sites
these days.
# We develop our professional Twitter scrapings that can
gather maximum information about users and followers.
# We do an in-depth study on the accounts of fired
Twitter followers and search for their interests and list
of companies.
# Twitter is an enormous source of data like profile
lists, email, comments, tweets, follower lists, etc.
# You can get many advantages of Twitter data
scraping.
# You may get insights into the people, who take
interest in the tweets posted through your
competitors.
# We will need little data about competitors’ accounts
because this will be a very good resource to extract twitter
followers as well as produce data.
3. #How To?
#Sentiment analysis
Sentiment analysis is an application of Twitter data scraping which has
implications in every aspect of human life, be it business, politics, economy or technology.
Brands use sentiment analysis to gauge the public opinion about various trends, products,
world events among many others. The results of sentiment analysis can be extremely
helpful for targeted marketing and designing new products that meet the demands of the
customer at a much deeper level.
#Brand monitoring
Brand reputation is a crucial factor for the success and growth of businesses
nowadays, irrespective of their industry, domain or market. Tracking brand mentions on
the web can help you identify marketing opportunities, track brand reputation, identify
unauthorized sales of products across eCommerce platforms and more. Having a positive
brand image among customers is all the more important in today’s business world which is
deep-rooted in the web.
#Machine learning training
Machine learning has been steadily gathering popularity and widespread
adoption during the last couple of years. This has lead to tremendous developments in the
field of Voice Recognition, Image recognition, Artificial Intelligence, Natural Language
Processing to name a few. When it comes to Machine learning problems like NLP (Natural
language processing), there is a huge demand for user generated content and Twitter is a
goldmine for anyone looking for NLP training data.
#Customer voice
Listening to your customers is something that any business rooted on the
web can no longer ignore considering the nasty after effects of the same. Customers can
make or break your business and there’s no doubt about it. This is why customer-centric
businesses are now using twitter data to monitor the customers’ opinions, grievances and
feedback on the social media platform.
#Finance
By using a Twitter data extraction solution to closely watch the trends in the
financial world, smart and data-backed investment decisions can be made consistently. A
predictive analytics system can be run on this data to project future trends and stay ahead
in the game.
4. # Scrape Twitter Data Python
# Scrape Tweet, Historical Followers,
Profile Links
# Twitter Data Scraping
# Scrape Tweets From Twitter
# Twitter Data Scraping To Track
Market Trends
# Twitter Data Scraping For
Consumer's Feedback
Premium
Tweets
100
Following
150
Followers
450
Enterprise Web Crawling
Services
Mobile App Scraping
API Scraping
Sales Intelligence
Python Scrapy
Competitor Price Scraping
Product Scraping
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