Abdullah O.

Struggling to find viral music trends before everyone else or tired of manual playlist scraping or fake bot-heavy promotion services risking your track releases? I use direct Spotify API access and Python automation to extract verified A&R streaming data and metadata safely today! As a dedicated Music Data Scientist with a PhD and over 6 years of experience engineering data solutions on Upwork, I bridge the gap between technical backend code and commercial music marketing strategy. I have completed 100+ projects for independent labels, tech startups, and artist managers by providing the precise data infrastructure needed to scale audience development, optimize release planning, and execute organic Spotify music promotion with 100% anti-bot platform safety. What I Do & How I Help You Grow: I have been working with the Spotify API for years and maintain developer-level access to it. Instead of manually guessing or relying on risky third-party promotion shortcuts, I build custom web scraping pipelines to gather clean, verified data points related to songs and tracks across streaming platforms. Whether you need monthly listener tracking, play counts, hidden song credits, or real-time audience engagement data, I deliver actionable music analytics to protect your catalog and optimize your campaign. If you are looking for specific signals like these, we must collaborate if: ● You are after "DK (Distrokid)" or "independent" labeled releases or same-named "artist name" ="record label name" signals. ● You check New Music Friday and its songs' credits every single week. ● You search for recently released tracks that doubled in streams on Spotify or TikTok overnight. ● You spin the Distrokid Wheel of Playlists and want to track or recreate the backend data engine behind it. ● You need to find hidden or unclickable tracks that once existed on Spotify but are currently gone. ● You track music history through Glenn McDonald’s old beloved data maps like Sound of Cities, Streets, Countries, and Schools. ● You need bulk data extraction for the Viral 50, Billboard Hot 100, Spotify Local Pulse City Charts, and Shazam Viral Charts. Domains I Work In: Artist discovery & A&R music analytics New music releases & digital marketing strategy Independent labels, DistroKid distribution, & ISRC metadata tracking Music credits verification (songwriters, producers, publishers) Spotify, Apple Music, SoundCloud, Shazam, YouTube Data API, Chartmetric, Viberate Playlists placement strategy & algorithmic behavior optimization ASCAP, BMI, MLC catalog tracking Music catalogs, publishing rights, & royalties data extraction Streaming trends, TikTok signals, & genre classification