Instagram profile parser
Project description:
Developed a high-performance Instagram profile parser that collected over 15,000 profiles for analytics and business tasks.
The parser automatically went through a list of users, extracted public information — name, profile description (bio), number of followers/following, links to external resources (website, contacts), list of public posts, and metadata — and saved the results in a convenient format for further processing (CSV/SQLite/Excel).
The project was conceived with the realities of large-scale data collection in mind: processing large queues, resilience to temporary blocks, careful handling of timings, and respect for platform limitations.
Functionality:
Mass data collection from Instagram profiles (over 15,000 profiles).
Extraction: name, username, biography, number of followers/following, number of posts, profile links, contact information (if available).
Support for both public and partially private profiles (within allowed limits).
User-Agent and proxy rotation to reduce the risk of blocks.
Asynchronous task processing with semaphores — control of parallelism for stability.
Retry attempts and detailed error logging (timeout, captchas, 429).
Saving results in CSV/SQLite/Excel, deduplication, and data validation.
Ability to filter and preprocess (for example, selecting accounts by the number of followers or bio language).
Developed a high-performance Instagram profile parser that collected over 15,000 profiles for analytics and business tasks.
The parser automatically went through a list of users, extracted public information — name, profile description (bio), number of followers/following, links to external resources (website, contacts), list of public posts, and metadata — and saved the results in a convenient format for further processing (CSV/SQLite/Excel).
The project was conceived with the realities of large-scale data collection in mind: processing large queues, resilience to temporary blocks, careful handling of timings, and respect for platform limitations.
Functionality:
Mass data collection from Instagram profiles (over 15,000 profiles).
Extraction: name, username, biography, number of followers/following, number of posts, profile links, contact information (if available).
Support for both public and partially private profiles (within allowed limits).
User-Agent and proxy rotation to reduce the risk of blocks.
Asynchronous task processing with semaphores — control of parallelism for stability.
Retry attempts and detailed error logging (timeout, captchas, 429).
Saving results in CSV/SQLite/Excel, deduplication, and data validation.
Ability to filter and preprocess (for example, selecting accounts by the number of followers or bio language).
Kharkiv 
Available for hire
Offer work