Instagram parser
This is an asynchronous program for parsing metadata about Instagram accounts, created in Python. It is designed to collect publicly available information about user profiles (such as the number of followers, posts, following, verification status, bio, links, etc.) with the ability to run continuously in a loop at a specified interval.
The program supports full deployment on a third-party server using Docker, allowing for quick setup of the system in an isolated environment. Thanks to the use of an asynchronous approach (asyncio and aiohttp), it provides high request processing speed and scalability.
The program implements asynchronous request processing to improve performance. An infinite parsing loop is supported with the ability to specify the interval between cycles. It collects public metadata about Instagram accounts, including followers count, posts, profile description, external links, verification status, and other accessible information.
Flexible configuration of parameters is provided, such as the time interval, list of accounts, use of proxies, etc. Results are logged and stored in a convenient format — TXT, CSV. If needed, authorization via cookie or token can be used to access extended information.
The program supports operation through proxy servers to bypass blocks and limits imposed by Instagram. Deployment is carried out via a Docker container, simplifying deployment in cloud environments or on a personal server.
The program supports full deployment on a third-party server using Docker, allowing for quick setup of the system in an isolated environment. Thanks to the use of an asynchronous approach (asyncio and aiohttp), it provides high request processing speed and scalability.
The program implements asynchronous request processing to improve performance. An infinite parsing loop is supported with the ability to specify the interval between cycles. It collects public metadata about Instagram accounts, including followers count, posts, profile description, external links, verification status, and other accessible information.
Flexible configuration of parameters is provided, such as the time interval, list of accounts, use of proxies, etc. Results are logged and stored in a convenient format — TXT, CSV. If needed, authorization via cookie or token can be used to access extended information.
The program supports operation through proxy servers to bypass blocks and limits imposed by Instagram. Deployment is carried out via a Docker container, simplifying deployment in cloud environments or on a personal server.
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