This article is concerned with the random dynamics of a wide class of nonautonomous, non-local, fractional, stochastic p-Laplacian equations driven by multiplicative white noise on the entire space ℝ N . We first establish the wellposedness of the equations when the time-dependent non-linear drift terms have polynomial growth of arbitrary orders p, q ≥ 2 . We then prove that the equation has a unique bi-spatial pullback random attractor that is measurable, compact in L 2 (ℝ N ) ∩ L p (ℝ N ) ∩ L q (ℝ N ) and attracts all random subsets of L 2 (ℝ N ) under the topology of L 2 (ℝ N ) ∩ L p (ℝ N ) ∩ L q (ℝ N ) . In addition, we establish the upper semicontinuity of these attractors in L 2 (ℝ N ) ∩ L p (ℝ N ) ∩ L q (ℝ N ) when the density of noise shrinks to zero. The idea of uniform tail estimates and the method of asymptotic a priori estimates are applied to prove the pullback asymptotic compactness of the solutions in L 2 (ℝ N ) ∩ L p (ℝ N ) ∩ L q (ℝ N ) to overcome the non-compactness of Sobolev embeddings on ℝ N as well as the almost sure nondifferentiability of the sample paths of the Wiener process.