This work explores the synergy between photometric and spectroscopic survey data. It presents the catalog of 1924 periodic variables identified among more than 258000 APOGEE targets using ASAS-SN photometry. The sample includs 430 eclipsing and ellipsoidal binaries, 139 classical pulsators (Cepheids, RR Lyrae and delta Scuti), 719 long period variables (pulsating red giants) and 636 rotational variables. The search was performed using both visual inspection and machine learning techniques (Random Forest). The light curves were also modeled with the damped random walk stochastic process. The median [Fe/H] of variable objects is lower by 0.3dex than that of the overall APOGEE sample. Eclipsing binaries and ellipsoidal variables are shifted to a lower median [Fe/H] by 0.2dex. Eclipsing binaries and rotational variables exhibit significantly broader spectral lines than the rest of the sample. Eclipsing binaries and rotational variables exhibit significantly broader spectral lines than the rest of the sample.
