Organic dyes are major elements in wastewater effluents, caused serious environmental damage and human health dangers for that we use of factorial design software to evaluate efficiently factors influencing the adsorption capacity of iron oxide nanoparticles alginate beads (SP-IONPs- ALG) to remove crystal violet (CV), methylene blue (MB) and methyl orange (MO) from aqueous solution. The current work included prepared SP-IONPs- ALG by using green synthesized iron oxide nanoparticles (IONPs) using Spirulina platensis, then coated by alginate. SP-IONPs- ALG characterized by using EDX and SEM then used it as adsorbent for uptake CV, MB and MO from aqueous solution. A 24 (CCD) based on single‐factor experiments and a four‐variables, pH (x1), interaction time (x2), dyes conc. (x3) and sorbent dosage (x4) used to evaluate efficiency of SP-IONPs- ALG for adsorption of CV, MB and MO from aqueous solution. The outlined results inferred that pH, contact time and adsorbent dosage had positive effect in dyes remove with high removal percentage for CV, MB and MO (93.46%, 96.47% and 94.4%; respectively). Freundlich model was fitting for description adsorption of CV & MB with maximum adsorption capacity (Qmax) 344.82 mg g-1, 416.6 mg g-1 respectively but Langmuir isotherm model more fit to describe the experimental data for representing the adsorption process of MO with maximum adsorption capacity 370.3 mg g-1. The kinetic model fitted well with a pseudo second order rate equation. Furthermore, the reusability of SP-IONPs- ALG was successfully achieved by using HCl and NaOH for CV & MB and MO, respectively.