Three Ethical Rules Every Developer Should Set Before Scraping Instagram
A developer with hands-on experience building Instagram data pipelines argues that most scraping projects fail due to decisions made on day one, not from technical errors later. The author outlines three self-imposed boundaries: avoiding any data behind a login wall, treating publicly visible data as legally restricted under GDPR-style rules, and respecting platform rate limits as a binding constraint rather than an obstacle to engineer around. On privacy, the author recommends documenting a clear collection purpose before gathering any data, enforcing a 90-day retention limit in code, and excluding personal accounts in favour of openly operating business profiles. On rate limits, the prescribed approach favours sequential requests, generous delays, and a hard daily cap set well below enforced thresholds. The author contends that these constraints proved more durable than authenticated alternatives, with their pipeline surviving two platform changes that disabled colleagues' login-dependent collectors.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)
Log in to join the discussion and vote.
Log in