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Instagram scraping is the automatic process of collecting publicly available data from Instagram users. The method includes Instagram scraping services, scraping tools, or manually extracting the data. You can easily scrape data like phone numbers, email addresses, bio, images, comments, likes, etc.
For data scraping, Python is the most preferred language. Libraries like Scrapy, BeautifulSoup, and Pandas ease the process of extracting data, analysis, and visualization.
You can easily scrape photos from an Instagram account if you are an account follower or it’s an open account that writes a photo explanation for each photo to an excel sheet.
To run this program, you require Python 3.x. You also need to install some of the libraries before running the program. Using python package manager pip, you can easily install them. Some of them are:
For controlling, you will require a browser driver. Here, we are using ChromeDriver for Linux. You can download it from:
However, if you prefer working on any browser or operating system, you will require a driver specific to that browser or OS. Using instaScraper.py, you can easily change the path to the driver simply by changing the value of the self.driver.
Run the program in the terminal to clone the project code or download it.
Next, to execute, run the main.py in the terminal as mentioned
First, enter your account’s Username and Password
Next, enter the target username. Make sure you follow that account, or it’s an open account.
After entering all credentials and the target username, the program gets executed as follows:
For more information, contact Actowiz Solutions now! You can also reach us for all your mobile app scraping and web scraping services requirements.
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