This paper proposes a secure web crawling framework using steganographically watermarked images. It embeds instructions covertly while ensuring authentication through watermarking. The approach provides dual-layer security, maintains image quality, and resists attacks. Results show high robustness, payload capacity, and minimal distortion, enhancing confidentiality, integrity, and reliability in large-scale web data collection.