Instagram Data Scraper is a PHP script designed to extract data from Instagram based on user accounts or hashtags. The script allows users to input either an Instagram username or a hashtag to retrieve information such as post counts, likes, comments, and associated keywords. The tool functions by accessing Instagram's web pages and parsing the JSON response to display the extracted data. It leverages jQuery to create dynamic views and handle each request individually.
This project provides a practical solution for data analysis and social media tracking. It includes a search feature for Instagram usernames and hashtags, a simplified data extraction process, and the ability to display data through customized views. The script is well-commented, enhancing its understandability, and offers flexibility for customization through script modification. It also presents the user with a clear understanding of its limitations and usage guidelines.
- User Account Search: Retrieves information on user profiles including posts, followers, following, and likes.
- Hashtag Data Extraction: Collects likes, comments, video views, and top post data for specified hashtags.
- Data Export: Includes functionality to download extracted data in Excel format.
The project is currently in a beta stage with ongoing work on several features like Reels search and trending hashtags. It’s a proof-of-concept tool designed for demonstration purposes and may not adhere to standard API rules. The code is documented, but it's subject to changes due to Instagram's evolving platform. It lacks formal API access and relies on scraping, which may violate Instagram's terms of service.
This project benefits marketers and social media analysts seeking insights into Instagram trends and user engagement. It allows users to track hashtag performance, analyze content popularity, and gain valuable data on user activity. The tool bypasses official APIs for demonstration but carries risks related to Instagram's terms of service and data access policies.