Cross-border e-commerce sellers often spend hours checking the same product across multiple Amazon marketplaces, comparing prices, reviews, and seller signals country by country. To cut that busywork, a developer built a Star Wars “Grogu” product research agent that ties together Codex, Lark, and SerpApi to automate much of the comparison process.
At a high level, SerpApi is used to query different Amazon country sites and return structured search results and product metadata. Codex powers the agent logic, stitching together the calls, parsing listings, and organizing what matters to sellers—such as price points, review counts and ratings, and visible seller indicators—by marketplace. Lark provides the collaboration layer, giving the agent a place to run, log its progress, and surface results to a team in a familiar workspace.
In practice, a seller supplies a product query or identifier and the Grogu agent fans out across selected marketplaces. It gathers comparable listings, lines up key attributes side by side, and highlights meaningful differences in pricing and review signals so that humans can focus on judgment rather than tab-hopping.
The project demonstrates how far off-the-shelf tools can go in automating routine Amazon research for cross-border sellers. By combining SerpApi for data retrieval, Codex for orchestration, and Lark for delivery, the Grogu-themed agent turns a manual, repetitive workflow into a faster, more consistent process.
