All-in-1 Twitter Scraper and Analysis Tool


✓ Includes 9 separate tools such as Twitter Profile Scraper, Twitter Bio Scraper, Twitter Hashtag Tracker, Twitter Analytics reports etc. for extracting and analyzing all types of Twitter data.


✓ Our tool will email the CSV file to you once it finishes data extraction.


✓ Test our free basic plan to explore our data. Just go to the query page and try it out now.


✓ Upgrade to full fledged plans for an affordable pricing of $99/year for enterprise plans.


✓ Check out input parameters of all our tools and individual data fields of generated CSV file here.


✓ Perfect for digital marketing agencies & professionals, freelancers and others who want to whitelabel and use the data and analysis plots in their workflows.



Use Cases



Find influencers to power your influencer marketing


Build connections with influencers in your particular niche. Since all the data is already in a spreadsheet, you can sort by certain words or phrases related to your business in their bio description. You will also be able to filter by location and see the amount of post engagement and number of followers.

Search for potential customers


Searching for potential customers is necessary for building up your customer base or finding the initial beta users. Once you have exported all the search results for a particular keyword in a CSV file, you can further filter Twitter bios column to find consumers who define themselves with a similar niche and may be interested in your product/service, or by location.

Advanced Twitter searching to find businesses


Our tool supports advanced Twitter bio searches that can let you find more relevant results. For example, you can do a search on “WordPress | Blogger | Blogspot” for an in-depth and highly specific searches.

Find email addresses


Our tool will extract email addresses from profiles that have mentioned it in their Twitter bio. So you can supercharge your email marketing and cold outreach efforts.

Great for journalists and content creators


Are you trying to do research for a story or a content you are creating? our Twitter bio search tool is perfect to find twitter users to interview or research for your story.

Identify and follow relevant users


Identify relevant users on Twitter and grow your number of followers by using follow/unfollow strategy.

✓ We have sold thousands of premium plans to digital marketing agencies, small businesses and fortune 500 companies in last 7 years in business with great customer reviews and a very high repeat customer rate.


✓ Some of our customers


Features


✓ No Twitter login details required. All data obtained from public facing webpages.


✓ All major Twitter advanced search queries supported, so search for exact keywords or for users located in a city or area.


✓ Everything runs on our cloud servers so there is no question of your IP address being banned by Twitter.


✓ Use this tool to find the right Twitter influencers, discover the target audience, or find people to follow.


❌ Stop paying for stale information from databases

Our tool will scrape data from live Twitter site, and not from some stale database that was updated days or months ago.

Choose Pricing

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$0/Year

Basic (Free Plan)

Try now for free!
$830 $99/Year

Enterprise

✓ We offer 100% customer satisfaction guarantee for the first month and if you are not satisfied with us for any reason then we will issue a refund without any terms or conditions.

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More info about individual Twitter scraper tools
Tool 1: Twitter Bio Scraper Tool
Tool 2: Twitter Profile Scraper Tool
Tool 3: Recent Tweets Scraper Tool
Tool 4: Search Recent Tweets by Keyword, hashtag or URL
Tool 5: Track Twitter Hashtags & Keyword Tool
Tool 6: News Tracker to Monitor News by Keyword
Tool 7: JournalistFinder.com to Find News Outlets, Journalists and Bloggers
Tool 8: Create Twitter Analytics Reports
Tool 9: Twitter Follower Analysis Report

Tool 1: Twitter Bio Scraper Tool

→ Keyword based search bar on Twitter is an excellent way to find relevant users.


Figure 1: Screenshot of first few search results from Twitter search in people tab.



→ Our Twitter bio scraper tool exports this information into a CSV file for further analysis


→ You can enter upto 5 search queries per request.


Figure 2: Specrom Twitter bio exporter tool


→ Just specify the search keywords and maximum number of rows to fetch and generate a CSV file that is emailed to you directly.


Table 1: Table created out of the exported CSV file for search term “beauty influencer”.


Information contained in the CSV.
Fields directly scraped from Twitter.com:

  • t_author_name: Name of the Twitter account.
  • t_twitter_username: Username of the Twitter account.
  • t_profile_join_date: Date and time of Twitter account creation (in UTC).
  • t_verified: Whether the Twitter account is verified or not.
  • t_bio: Bio of the Twitter account which is mentioned in its Twitter profile.
  • t_profile_location: Location which is mentioned by the Twitter account.
  • t_profile_website: URL of website mentioned by the Twitter user.
  • t_following: Number of Twitter accounts the user is Following.
  • t_followers: Number of Followers of the Twitter account.
  • t_likes: Number of tweets which are liked by the Twitter account.
  • t_no_of_posts: number of tweets posted by the Twitter account.
  • Profile URL: URL of the Twitter account’s profile.
  • Email: email address of the user (if mentioned in author bio).
  • search_term: search term entered in our scraper tool.
  • data_analysis_date: date when our tool extracted the data.

Analytics columns

  • follower_following_ratio: A ratio of number of followers to number of people you are following. Typically, an influencer should have more followers then number of accounts being followed; aka ratio of lower than 1. Successful (micro)influencers have this number higher than 10.
  • likes_to_posts_ratio: A ratio of number of likes by the user over number of posts by the user. A value higher than 5 typically is associated with an active Twitter user who is less likely to be an influencer and typically follows other influencers.
  • account_age_in_days: Age of the account in days.
  • avg_posts_per_day: We get this value by dividing the number of posts by account age in days. Typically, an influencer/active Twitter user posts atleast 3 Twitter posts a week, so a value of 0.4 or higher is a great surrogate indicator of user engagement.
  • avg_likes_per_day: We get this value by dividing the number of posts by account age in days.



    • Check out Specrom Twitter Bio Scraper tool here

    Tool 2: Twitter Profile Scraper Tool


    → Input a list of Twitter profile URLs and get back a CSV by email containing the same fields as figure 1. Max 1000 profiles/request.


    Figure 3: Twitter Profile Scraper Tool



    Check out Specrom Twitter Profile Scraper tool here

    Tool 3: Recent Tweets Scraper Tool


    → Input a list of Twitter profile URLs (Maximum 200/request) and get back a CSV by email containing recent tweets and analytics data.


    Figure 4: Recent Tweets Scraper Tool


    → Analytics based on recent tweets provide a complementary filtering capability to the overall profile activity info provided by tools 1 and tools 2.


    Table 2: Table created from CSV file from three Twitter profiles.

    Information contained in the CSV.
  • t_twitter_username: Username of the Twitter account.
  • t_url: input URL of the Twitter profile.
  • recent_cashtags: Cashtags are a Twitter feature that allows users to click on stock symbols like hashtags. This is a list of all the cashtags mentioned by the user in the recent tweets.
  • recent_hashtags: A list of all the hashtags mentioned by the user in the recent tweets.
  • number_of_recent_tweets_analyzed: number of tweets analyzed by our tool.
  • recent_tweet_photo_percent: percentage of recent tweets that contained a photo.
  • recent_tweet_url_percent: percentage of recent tweets that contained an url.
  • recent_tweet_video_percent: percentage of recent tweets that contained a video.
  • recent_avg_tweet_likes: average number of likes received by the user on the recent tweets (including retweets).
  • recent_avg_tweet_reply: average number of replies received by the user on the recent tweets (including retweets).
  • recent_avg_tweet_retweet: average number of retweets received by the user on the recent tweets (including retweets).
  • most_recent_tweet_days_ago: most recent tweet by the user in days, including retweets.
  • avg_days_for_all_recent_tweets: average age of all the recent tweets in days including retweets.
  • recent_avg_tweet_likes_ex_retweets: average number of likes received by the user on the recent tweets (excluding retweets).
  • recent_avg_tweet_reply_ex_retweets: average number of replies received by the user on the recent tweets (excluding retweets).
  • most_recent_tweet_days_ago_ex_retweets: most recent tweet by the user in days, excluding retweets.
  • avg_days_for_all_recent_tweets_ex_retweets: average age of all the recent tweets in days excluding retweets.
  • percent_of_recent_retweets_to_all_tweets: the ratio of number of recent retweets by the user to the total number recent tweets by the user.
  • recent_tweet_text: A list of fulltext of all the recent tweets (including retweets).
  • data_analysis_date: analysis date when the tool was run.


    • Go to Recent Tweets Scraper Tool here

    Tool 4: Search Recent Tweets by Keyword, Hashtag or URL

    → Find recent tweets and profile information of authors by querying using search term (max two per request). Get max 400 tweets per request.


    Figure 5: Search Recent Tweets by Keyword, hashtag or URL Tool


    → Common search terms include keywords and hashtags. You can also input a URL to see who is sharing that link and what Twitter users are saying about it.


    Table 3: Table created from CSV file from search query "beauty influencer" by searching recent tweets.
    Check out Search Recent Tweets by Keyword, hashtag or URL Tool here

    Tool 5: Track Twitter Hashtags & Keyword Tool

    → Specrom Twitter Tracker lets you track near future tweets whenever any tweets contain mentions of a keyword, hashtag or URL.


    → You'll get a CSV file everyday with same data as table 3. Get upto 12,000 tweets a month.


    → Our customers use this for social listening to track what potential customers are saying about their brands, their competitor brands, and to identify prospects and leads for selling your product/services based on what a user is saying on Twitter.


    Create your Twitter Tracker Here

    Tool 6: News Tracker to Monitor News by Keyword


    → Specrom News Tracker lets you track recent news articles, blog posts whenever some outlet mentions the keywords set by you (maximum 5 search queries).


    → This is a Google Alerts alternative on steroids. Everyday you get a CSV file containing all the hits matching the search query from over 30,000 news outlet domains that we crawl and index everyday.


    → Our customers use this tool mainly for pushing out PR stories, engaging with content creators and powering their content marketing efforts.


    Figure 6: News Tracker to Monitor News by Keyword


    → You get the data fields such as author, full content, description (from meta tags), title, source name etc. as shown in table 4.


    Table 4: Table created from CSV file using search queries “influencer”, “bitcoin”, “digital marketing”.



    → You can also use it to find URLs of interest and then using it as input for Tool 4 to search recent tweets mentioning that news story. This gives you an alternative way to finding a relevant audience


    Create your News Tracker Here

    Tool 7: JournalistFinder.com to Find News Outlets, Journalists and Bloggers


    → JournalistFinder.com is a media contacts database to help you find targeted journalist contact details.


    → JournalistFinder.com gives you a Google sheet containing over 30,000 news outlets, blogs with high Alexa domain authority. etc.


    → Fields included in media outlet Google sheet are whether it accepts contributed content (yes/no), country, language, outlet website, media outlet type, Twitter Bio, number of journalists/content creators working for the outlet.


    → It also includes access to database of 300,000 journalists, bloggers and influencers so that you can supercharge your PR, content marketing and influencer marketing


    → Fields included in journalist CSV are Twitter Bio, Twitter profile URL, Twitter profile location, Job title, main outlet name, beats (aka topics that journalist covers), Twitter, Instagram, Youtube, Linkedin profile URLs.


    → We have manually curated this content by scraping bios from Twitter and going to each news outlet website to capture other details


    → For a very limited time, we are bundling Journalistfinder.com access with 1 year subscribers of All-in-one Twitter Scrapers.


    Check out Journalistfinder.com here

    Tool 8: Create Twitter Analytics Reports (in beta release)


    → A picture is worth a thousand words, and our Twitter analytics reports are meant to capture CSV file information in easy to digest graphs and plots.


    → Lets create a demo report from CSV file of Table 1.


    Figure 7: Twitter Analysis report

    The wordcloud from the Twitter bio text of the profiles is shown below. Since the search query was "beauty influencer", it is not surprising that it is the most frequently occuring word, but some other top words are digital, marketing etc.

    If you are looking for an influencer, then you want someone who is being followed more times than the number of accounts he is following aka follower/following ratio over 1.

    A follower count of over 10,000 is normally expected for influencers. If you are looking for micro-influencers, then it is expected that the user will have between 1,000 and 10,000 followers.

    Older Twitter accounts are one of the obvious indicators of being associated to a real person rather than bots

    Active Twitter accounts should post atleast 3 times a week or a value of 0.4 or higher average Twitter posts a day

    Likes are an excellent measure of engagement. The more someone likes, the more he/she/they are consuming other peoples tweets. That's generally a good thing (because it means that others are more likely to RT you). Here, we breakdown this audience by the amount that they like (as a ratio of total activity). We define activity as sum of posts and number of likes. This ratio is between 0-1; If it's near 1 aka very high, then it means that the user is just "liking" other posts without retweeting or posting tweets of their own; this could indicate that its a bot account. On the flip side, low engagement Twitter accounts only push their posts and don't like other's contents, these will have a ratio equal to or closer to 0. An influencer account with healthy engagement should have this ratio between 0.2 to 0.5


    → This is in active development and we have given beta access to select users. It will be rolled out at no additional cost to all Twitter scraper enterprise users from 26 September 12 am EDT.


    Tool 9: Twitter Follower Analysis Report (optional add-on)


    → Our Twitter Follower analysis report will extract twitter followers from any account and provide all the analytics and graphs such as table 1 and figure 7.


    → This add on is available only for Twitter Scraper enterprise customers to purchase at $50/report


    → It includes a CSV file with most recent 100,000 followers, twitter bio etc (same data fields as table 1) and a detailed report with plots summarizing the information.


    → We will also geo-encode Twitter profile locations of all followers wherever possible so that you can view Twitter followers on a map


    → Turnaround time of about 3 business days