Completing eBay Category Product Selection Research with Talos

Product selection research is essentially about getting a clear picture of the products on sale within a category: who is selling, at what price, how many have been sold, and what the reputation is, to then decide whether the category is worth entering. People doing cross-border business usually open the search page, click into product details one by one, and copy prices, sales volumes, and seller ratings into a spreadsheet—twenty listings would take an entire afternoon.

It gets stuck in two places: too many links to manually go through; and the same data field has different definitions on different pages, making the copied numbers impossible to compare directly. This task was to survey the senior calcium supplement category on eBay US and produce a comparison report that could be directly presented on a screen.

The technical difficulty lay in inconsistent data definitions. The listing page doesn't show sales volume or ratings; the product page shows cumulative total sold, not 30-day sales; and the currency can change based on the access region. This time, the pages were displaying both the original USD price and a converted HKD price, and mixing these two sets of numbers would make comparison impossible.

The completion criteria were strictly defined: 10 samples, each with complete data for calcium source, dosage form, specification, price, cumulative sales, and seller reputation—six fields in total. Fields not available on the page were to be marked "To be supplemented," without estimating.

Step 1: Writing the requirement as an 85-word prompt

打开你ebay，帮我看看最近上新，卖的好的老年人补钙产品，最后精调10款产品做详细分析，社评数据，购买量等各种信息，做成报告PDF给我，我想看到他们之间的对比和详细情况；

Four phrases determined the subsequent process:

• 最近上新 + 卖得好 (recently listed + selling well): Requesting both perspectives simultaneously ensures it captures both new products and sorts by sales volume.
• 精调 10 款 (curate 10 models): Expand the candidate pool first, then converge, rather than just grabbing whatever is found.
• 社评数据、购买量 (social review data, purchase volume): Naming the fields explicitly ensures it reads the seller rating and transaction feedback for each product.
• 对比 + 详细情况 + PDF (comparison + details + PDF): The output format was fixed from the start, saving on later formatting work.

Step 2: How to operate in the interface

1. Create a new session, paste the prompt above, send it directly—no need to attach any files.
2. After sending, it opens the browser on its own, first running two keyword groups, calcium supplement for seniors and calcium citrate with vitamin D3 senior, capturing a total of 247 rows across three batches.
3. You can see its step-by-step actions in the session: grabbing the list, opening product pages, reading fields. No manual intervention is needed for this.

An issue occurred midway: the site returned an error page and stopped pagination. The remaining candidates were filled using the second keyword group. The final candidate pool was 246 entries, not the full category. It noted this itself in the report's data description, without reporting it as the full dataset.

Step 3: Where the results are and how to retrieve them

The output is a 7-page PDF, filename ebay_calcium_top10.pdf, saved in this session's directory. You can view it directly or download and forward it from the file panel. Seven individual PNG pages are also kept in the same directory—these are intermediate outputs from the layout process, usable directly for long-form articles or image-text content.

Step 4: Output Structure

Section	Content
Executive Summary	5 market conclusions: market leader profile, price band, seller structure, reputation gaps, recent listing activity
Sample & Scope	Keywords, sample size, sales volume definition, currency and exchange rate basis
Core Parameter Comparison	10 models × Calcium source, dosage form & specification, price, cumulative sold
Seller & Reputation Comparison	10 models × Seller, positive feedback rate, item-level feedback, product rating
Individual Product Details	One section per model: specification, seller, reputation, noteworthy points
Patterns & Sourcing Suggestions	6 directly actionable market patterns
Data Source & Notes	Collection time, definitions, exchange rate, uncollected fields

Completed in 10 to 20 minutes, producing a 7-page PDF, two comparison tables, plus individual details for 10 models. Doing the same work manually would take an entire day.

Metric	Manual	Talos
Time cost	A full day	10-20 minutes
Sample Size	About 20 listings	246 candidates narrowed to 10 models
Data Completeness	Requires manual fill-in	Six fields complete; missing ones marked "To be supplemented"
Output	Spreadsheet	7-page PDF, ready for screen sharing or forwarding

• This capability: Before deciding to enter a category, first survey the market offerings, so you have comparable, verifiable material in hand.
• When to use it: Market scouting before switching tracks; checking what competitors are selling and at what price; explaining a market landscape clearly to the boss, suppliers, or partners.
• Turning process into an asset: The workflow is saved in Talos. Next time, for a different category, just change one keyword and get another report of the same specification in twenty minutes.

1. Name the fields explicitly: Write clearly that you want sales volume, ratings, transaction feedback; only then will it read each product, otherwise it will only provide prices.
2. Expand first, then narrow down: State clearly how many models you want curated; it will then first expand the candidate pool before narrowing it down.
3. Write data definitions into the requirements: Currency, sales volume definition, collection time—if you miss specifying one, they might be mixed up in the report.
4. Fix the output format upfront: Mention that you want a PDF and comparison tables right from the start to avoid late reformatting.

Q: How long does one run take?

A: 10 to 20 minutes, depending on the number of candidates in the category. This time, it screened 246 candidates down to 10 models, producing a 7-page PDF.

Q: Where does the sales and review data come from?

A: All taken directly from eBay product pages. Sales volume is cumulative total items sold, not 30-day sales. The supplement category rarely has product-level reviews; 7 out of 10 models had no rating, so the reputation section uses seller positive feedback rate and transaction feedback count instead, marking missing page data as "To be supplemented."

Q: Do different currencies affect the results?

A: Yes. This time the browser was identified as being in the Hong Kong region, so the page showed both USD and HKD. The report uniformly uses the original USD price, with the conversion value 7.848 matching the public exchange rate of that day. Before changing sites, unify the currency definition first, then compare prices.

Q: Can this method be applied to other categories?

A: Yes. Just replace "老年人补钙产品" (senior calcium supplement) with any category keyword; the sample size and field descriptions don't need to be changed.