PandaBuy was the dominant rep agent before 2023-2024 changes. The spreadsheet remains well-documented for shoes and streetwear, with 5% fee and 60-day storage.
Browse rep picks
Via chinarepsbuy.com · April 2026Get the current link from r/FashionReps wiki or PandaBuy's Discord — links rotate when the platform migrates to new sheets. Open in Google Sheets for proper tab navigation. Use Ctrl+F within a category tab to search items; use Find & Replace with "All sheets" for cross-category discovery.
When you find an item, copy the product link (Taobao or Weidian URL) and paste it into PandaBuy's order interface. Verify the link is active before submitting — stale links are the most common issue with community-maintained spreadsheets. If the link is dead, search the product name directly on the source platform for current listings.
PandaBuy's spreadsheet covers shoes + streetwear as its primary strength. The documentation depth in these categories reflects the community contributors' purchase patterns — categories that buyers order frequently have more current and detailed entries than categories that see lighter community traffic.
For categories where PandaBuy's spreadsheet has thin coverage, cross-reference with ACBuy (shoes/clothing) or AllChinaBuy (accessories/watches) spreadsheets. Using multiple spreadsheets in combination is standard practice among experienced rep buyers — no single spreadsheet covers every category optimally.
Every spreadsheet link needs verification before submitting an order. Taobao and Weidian listings can be taken down or moved, breaking spreadsheet entries. Build a habit: open the link, confirm item and price, then proceed. A 404 doesn't mean the item is unavailable — search the product name directly on the platform for a current listing.
Cross-reference spreadsheet finds with r/FashionReps QC posts. The spreadsheet tells you where to buy; the community tells you whether that specific listing is worth buying. Searching the item name on Reddit often surfaces QC photos from buyers who ordered the same spreadsheet entry, giving you a pre-purchase quality preview.
Community notes in the spreadsheet cells are the most valuable data. Notes like "TTS" (true to size), "size up half", or "OG batch" tell you what other buyers discovered. Prioritize spreadsheet entries that have populated notes columns over blank entries at the same price — the notes represent real buyer experience.
EMS ($12–18 to most destinations) is the community standard for balanced cost and reliability. YunExpress is slightly faster to US/EU at similar cost. DHL Express ($35–55) is the fastest option but carries higher customs inspection risk for rep items than economy lines. Budget for shipping as part of total haul cost — it typically adds $15–25 to any haul regardless of item count.
Spring Festival (Chinese New Year, late January to mid-February) adds 2–4 weeks to all shipping timelines. Factories and agents close for 1–2 weeks. Plan hauls accordingly if you need items by a specific date in Q1.
Beyond basic Ctrl+F search, the Pandabuy spreadsheet supports several advanced discovery methods. Google Sheets' filter function (Data → Create a filter) allows you to narrow items by column values — for example, filtering the Price column to show only items under ¥500. This is useful when browsing a category for budget-conscious buys rather than searching for a specific item.
Conditional formatting in some spreadsheets colour-codes cells to indicate quality tier, availability, or community trust level. If you see coloured cells without legend, right-click a cell and select Format → Conditional formatting to understand the colour logic. Green typically means verified/recommended; yellow means unverified or limited data; red flags potential issues.
For shoes + streetwear specifically, the most useful spreadsheet columns are usually: product name, seller store link (in addition to specific item link), price in CNY, and community notes. If a spreadsheet entry has all four populated, it reflects a higher-effort contribution and is generally more reliable than an entry with only a product link.
High-quality spreadsheet entries contain: a specific product link (not just a seller homepage), a price reference updated within the last 3 months, batch documentation (LJR, PK, OG, etc.) for shoe entries, and a community notes field with at least one substantive observation. When all four are present, the entry represents genuine community research rather than a copied link.
Low-quality entries show: expired links, price references significantly below current market (suggesting the entry is very old), no batch notes for items where batch matters, and empty notes columns. These entries can still lead to a good find if you verify manually, but require more effort to validate.
The proportion of high-quality to low-quality entries varies by category and maintenance cadence. Pandabuy's shoes category tends to have a higher proportion of well-documented entries because it attracts the most active community contributors on this platform. Other categories are thinner but still useful for discovery — treat them as starting points for further research rather than verified sourcing.
The search term "pandabuy spreadsheet" reflects a specific intent: the user knows Pandabuy and wants the spreadsheet specifically. This is higher intent than a generic "rep spreadsheet" search — they've already decided on the platform and need the resource. reflects real competition for this term from established pages in the rep buying space.
Community members searching "pandabuy spreadsheet" in 2026 are typically either new to the platform (looking for the link for the first time) or returning after a link rotation (looking for the updated URL). Both use cases are served by this guide alongside the spreadsheet link itself.