The Walmart product-data annotation and traffic-supplementing project. Walmart is the second-largest general retailer in the US, a mid-to-high-end discount department store known for "affordable + stylish". This project mainly completes simulated product browsing, tag-data annotation and traffic supplementing for the platform, running fully automatically and silently via script. No manual operation, no fake-order tricks, no traffic-driving or recruiting. A single account runs 8 hours a day for a pure income of up to 3 USD; even better, an ordinary PC can multi-open 30+ accounts with no config demand - old laptops and low-spec office hosts run it at full load, turning idle PCs into a steady income tool. 1. Core advantage: extremely low config demand, running at full load with low memory and resource use; old computers, office laptops and low-spec home hosts all run smoothly, no lag or crashes in the background, and no interference with office work, streaming or entertainment. 2. One PC supports batch multi-opening of 30+ accounts: no extra devices needed, one PC can stably multi-open 30+ independent accounts with environment isolation against risk control and linkage, scaling returns to support a whole earnings matrix. 3. Fully automated, unattended, time-saving and worry-free: after one-click script launch it automatically performs product annotation and simulated browsing - just 6-7 hours a day, no manual supervision; office workers, mothers, students and freelancers can all easily manage it. 4. Flexible settlement cycle with free withdrawal: no fixed lock-in period, earnings can be reconciled and settlement applied for at any time, withdraw whenever you want, flexible and transparent, arriving on time. 5. Zero threshold, zero basics, beginners learn instantly: no professional skills, no inventory investment, no network promotion; comes with a full set of exclusive tools plus detailed step-by-step setup tutorials, so beginners can set up in minutes and start earning directly. 6. Long-term stable project with regular updates and endless tasks: the Walmart platform has year-round rigid demand for product-data annotation and browsing-traffic supplementing, tasks are stable long-term without interruption, sustainable for long-term operation with steady guaranteed returns.
This course comes with a materials pack. Members receive the access link by email after requesting the course.