Tutorial to scrape personal tweets from Twitter using ScrapeStorm
In this article, we will tell you how to scrape personal tweets from Twitter using ScrapeStorm’s “Smart mode“.
Introduction to the scraping tool
ScrapeStorm (www.scrapestorm.com) is a new generation of Web Scraping Tool based on artificial intelligence technology. It is the first scraper to support both Windows, Mac and Linux operating systems.
Introduction to the scraping object
Twitter, Inc. is an American online news and social networking service on which users post and interact with messages known as “tweets”. Tweets were originally restricted to 140 characters, but on November 7, 2017, this limit was doubled for all languages except Chinese, Japanese, and Korean.
Official Website: https://twitter.com/
Scraping fields
Tweet, Text link, Time, Retweets, Likes, Replies
Function point directory
How to configure the extracted field
Preview of the scraped result
Export to Excel2007:
1. Download and install ScrapeStorm, then register and log in
(1) Open the ScrapeStorm official website, download and install the latest version.
(2) Click Register/Login to register a new account and then log in to ScrapeStorm.
Tips: You can use this web scraping software directly, you don’t need to register, but the tasks under the anonymous account will be lost when you switch to the registered user, so it is recommended that you use it after registration.
2. Create a task
(1) Copy the URL of Twitter
Click here to learn more about how to enter the URL correctly.
(2) Create a new smart mode task
You can create a new scraping task directly on the software, or you can create a task by importing rules.
Click here to learn how to import and export scraping rules.
3. Configure the scraping rules
(1) Set the fields
Intelligent mode automatically recognizes the fields on the page. You can right-click the field to rename the name, add or delete fields, modify data, and so on.
Click here to learn how to how to configure the extracted field.
Add or remove fields as needed, and rename the fields. The results of the field settings are as follows:
(2) Manually set the page
Some web pages have special buttons on the next page, and the system may not recognize them. In this case, you need to manually set the page to “Scroll to Load”.
Click here to learn how to manually select the page.
4. Set up and start the scraping task
(1) Running and Anti-block settings
Once the rules are configured, we can start the acquisition task. Click “Start” and then jump out Run Settings. We can set schedule, anti-spider, automatic export, download images and speed boost here.
Click “Anti-Anti-Spider”, set waiting time based on web page open speed. The anti-block settings follow the system default settings. Then click “Save”.
(2) Start scraping data
Premium Plan and above users can use “Schedule” , “Automatic Export” and “Speed Boost”. If you want to download images, you can check “Download images while running”. Then click “Start”.
Click here to learn about scheduled job.
Click here to learn about sync to database.
Click here to learn about download images.
(3) Wait a moment, you will see the data being scraped.
5. Export and view data
(1) Click “Export” to download your data.
(2) Choose the format to export according to your needs.
ScrapeStorm provides a variety of export methods to export locally, such as excel, csv, html, txt or database. Professional Plan and above users can also post directly to wordpress.
Click here to learn more about how to view the extraction results and clear the extracted data.
Click here to learn more about how to export the result of extraction.
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