Shopee Vietnam and Thailand Diaper Data Set – April 2024
This historical archive contains four Shopee keyword-search workbooks from Vietnam and Thailand. The Vietnam files are dated April 2, 2024; the Thailand files are dated April 12, 2024. Use them to practise listing cleanup, product classification and pack-price checks. These are existing snapshots, not customized files, current offers or a complete census of either market.
Country and file coverage
Vietnam, VND: the files beginning tã-quần_02-04-2024_ use the keyword tã quần. The popular file has 1,029 populated observations and 946 distinct shop/item pairs; top-selling has 499 observations and 497 distinct pairs. Combined, they contain 1,528 observations, 1,075 distinct pairs and 450 shop IDs. There are 368 pairs shared between the two extracts. Blank trailing rows are excluded from these counts.
Thailand, THB: the filenames begin Diaperผ้าอ้อม_12-04-2024_. The 16-46-08_popular.xlsx file has 1,030 observations and 947 distinct pairs; 16-47-22_best_selling.xlsx has 500 observations and 500 distinct pairs. Together they contain 1,530 observations, 1,077 distinct pairs and 426 shop IDs, with 370 pairs shared between the files. The keyword is ผ้าอ้อม, with the English label Diaper.
Each workbook has one worksheet, Sheet1, and 23 named fields. The popular and selling labels identify the delivered extracts; they do not establish an independently verified market-wide ranking. Keep countries and collection dates separate. The two keyword definitions, dates and currencies differ, so raw counts or prices cannot establish which national market is larger or cheaper.
Import by field name, not column position
Both country schemas include keyword, name, url, imageUrl, currency, updateTime, stock, sold, historySold, price, price_before_discount, discountPercent, price_min, price_max, price_min_before_discount, price_max_before_discount, rating_count, rating, itemId, shopId, brand and country.
The remaining field differs: Vietnam contains rank, while Thailand contains localizedKeyword. This shifts several column positions. Import by header name and preserve IDs as text. Ignore the empty unnamed columns after W in Vietnam popular. Keep a source-file column, and interpret the row dates 4/2/2024 and 4/12/2024 using their matching April filenames.
The sales, stock and rating fields are captured listing counters. The workbooks do not document the reporting period for sold, provide individual transactions, or contain review text. Do not label these counters April-only sales or calculate verified revenue from price multiplied by sold. Package count and selected variant are not separate fields.
Duplicates and mixed product types
The popular extracts each have 83 observations beyond their distinct pairs. Vietnam top-selling has two; Thailand best_selling has none. Joining both extracts within a country leaves 453 observations beyond its distinct pairs in each case. Use country, shopId and itemId to identify listings, retain original observations, and document which record you select when repeated values disagree. A listing can offer several sizes or packages, so a distinct pair is not necessarily a distinct product model.
Classify the titles before comparing offers. The Vietnam popular file begins with an adult Confidence diaper listing, while Thailand popular begins with washable Natty Punn cloth diapers. Other titles include baby diapers and related hygiene products. A baby-diaper illustration does not describe the whole sample. Separate baby and adult products, disposable and reusable products, and unrelated results; then match size, package quantity and selected variant.
Worked example: why pack price needs a variant check
Vietnam top-selling, Sheet1 row 2: shop 41437719, item 4234819741, has a title advertising a HIPGIG A combo of 100 pieces across several sizes. The captured price is VND 170,050, with minimum VND 170,050 and maximum VND 188,000. If that price applies to the stated 100-piece combo, the conditional calculation is 170,050 ÷ 100 = VND 1,700.50 per piece. The title alone does not prove that every listed size or variant has 100 pieces at that price.
Thailand best_selling, Sheet1 row 2: shop 195237879, item 22736779536, describes an adult-diaper offer with 10 pieces per pack, but records price THB 1, a THB 1–7 range and a reference price of THB 180. Flag this for offer and variant verification. The workbook alone cannot establish whether the unusually low captured price corresponds to the advertised full pack or another offer condition. Do not use it as an unqualified full-pack price or national price benchmark.
Shipping, vouchers and checkout adjustments are outside these examples. Fixed minimum and maximum prices also do not prove a fixed piece count when the title lists several sizes. Check the selected package before publishing unit prices, and keep unresolved offers out of comparisons. These records explain a historical checking method, not current purchase quotes.
Use the archive responsibly
Keep the four downloaded originals unchanged. In a working copy, remove blank rows, align headers, retain country and source labels, flag repeated listing keys, classify product type and verify package assumptions. State the collection date, selection method and exclusions alongside any analysis. For repeated or current collections, specify countries, product filters, variant quantities and a schedule through our Shopee data scraping service.
Request the April 2024 archive
- Fill Out the Form: Complete the form to request the existing April 2024 Vietnam and Thailand diaper archive. Please fill out this form.
- Submit the Form: After filling, submit the form. Ensure all provided information is accurate to avoid delays.
- Check Your Email: Upon form submission, a link to download the data set will be sent to your email. This may take a few minutes.
- Download from Email: Open the email received, click on the download link provided within to access the data set file.
- Open & Review Data: After downloading, open the file in your preferred spreadsheet software to start analyzing the data.
For any issues, check your internet connection or contact us via our email easydata.info.ai@gmail.com for help.
Thank you,
Easy Data Team.
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