Scrape Data from Instagram

With more than 600 million users, Instagram is definitely a social media platform that you should be focusing on irrespective of whether you’re a B2C or B2B company. Using Instagram to stay connected to your customers is necessary, but there is more to be done using the data available on Instagram. Extracting data from Instagram opens a new world of possibilities to you, as a business owner.

Why should you scrape Instagram?

• 600 million users
• Reflects the current market trends
• High marketing potential
• Best place to gather data for sentiment analysis

What you can do with Instagram data?

Here are some of the applications of the data extracted from Instagram:

Identify influencers

You can use our crawling service to identify and extract influencer profiles from Instagram including their Profile URL, Handle, No. of followers, Post data including comments and likes and more.

Reputation management

If people are talking about your brand or product on social media sites like Instagram, you should be monitoring this activity to ensure a clean image. Our web crawling services can be used to monitor and scrape data for a set of keywords from Instagram.

Brand sentiment monitoring

If you are planning to run sentiment analysis on top of social media discussions, scraping Instagram data can useful. The huge user base of Instagram can be leveraged to perform extensive sentiment analysis. 

Provide real time support

Prompt customer support is no more an option. If you want to identify customer grievances and provide them with real time support, monitoring Instagram using web crawlers would be the best way forward.

Scraping data from Instagram

Being a niche process, web crawling demands high end resources and tech skills. The process begins with defining the data points required and feeding them into the crawler setup. Once the crawler starts fetching data, it is saved to a dump file. This initial data typically contains noise and is not structured. To make the data ready for delivery, it is then processed using cleansing and structuring systems. We deliver the data in CSV, XML or JSON via different delivery methods such as PromptCloud API, Dropbox, Amazon S3 and FTP.