GemRate eBay Card Sales Trends Scraper

Pull monthly eBay sales trends for trading cards from GemRate — sales volume, dollar flow, and month-over-month % change for every tracked sports player and Pokémon character. Pick a market, run it, and get clean, structured JSON with links out to eBay, CardLadder, CardHedge, and MarketMovers. No login, no coding.

What does the GemRate eBay Sales Trends Scraper do?

GemRate tracks how much each player's and character's cards are selling for on eBay, month by month. This Actor turns that into structured rows: for each subject you get year-to-date totals, each month's sales dollars, the month-over-month change %, and the dollar flow (absolute change), plus deep-links to the matching eBay search and the major price trackers.

It runs on the Apify platform, so you get a scheduler, a REST API, webhooks, integrations (Make, Zapier, Google Sheets, Slack), proxy rotation, and run monitoring out of the box. No GemRate account is required — the data is publicly accessible.

Why use this scraper?

• 💵 Spot what's hot (and cooling). A single run shows every player/character ranked by sales, with the month-over-month swing — see momentum at a glance.
• 📈 Market & investment research. Track real demand in dollars, not guesses. Compare a name's YTD this year vs last year.
• 🛒 Dealer & inventory decisions. Buy into what's selling; avoid what's sliding.
• 🎥 Content & newsletters. "Charizard did $11.2M on eBay in January, up 38%" — instant, citable stats for videos, posts, and reports.
• ⚙️ Automate it. Schedule a monthly run and pipe the new numbers into a sheet, a dashboard, or a Slack alert.

It's a cheap, programmatic alternative to manual eBay-sold digging and paid market-tracker subscriptions.

How to use it

1. Click Try for free / Start.
2. In the Input tab, choose a Market — Sports cards or Pokémon.
3. (Optional) For sports, set a sport filter (e.g. baseball-cards), a name filter (e.g. Ohtani), or a limit.
4. Click Save & Start. When it finishes, open the Output tab and download as JSON, CSV, Excel, or HTML — or pull it via the API.

Input

Field	Type	Description
market	string	sports or pokemon. Which sales-trends list to pull.
salesCategory	string	Sports only — dropdown to keep just one sport (Baseball, Football, Basketball, Hockey, Soccer, Boxing/Wrestling/MMA, Golf, Multi-sport, Minor League, Misc, Non-sport). Blank = all sports.
search	string	Keep only names containing this text (e.g. Ohtani, Charizard).
limit	integer	Cap the number of players/characters returned. 0 = all.
proxyConfiguration	object	Residential Apify Proxy (default, required to clear Cloudflare).

Example input

{
    "market": "sports",
    "salesCategory": "baseball-cards",
    "limit": 25
}

Output

One row per player or character. The Output tab's Sales trends view shows the key columns; the full monthly history and links are in the JSON/CSV download. Real examples:

{
    "market": "sports",
    "player": "Shohei Ohtani",
    "category": "baseball-cards",
    "ytd_2026": 53358847,
    "ytd_2025": 57967602,
    "jan_2026": 8196302,
    "jan_2026_change": 24.6,
    "jan_2026_flow": 1618474,
    "dec_2025": 6577828,
    "ebay_sales_history": "https://www.ebay.com/sch/...",
    "scrapedAt": "2026-06-02T00:00:00.000Z"
}

{
    "market": "pokemon",
    "character": "Charizard",
    "ytd_2026": 57483563,
    "jan_2026": 11206886,
    "jan_2026_change": 38,
    "jan_2026_flow": 3084939,
    "dec_2025": 8121947
}

You can download the dataset in JSON, CSV, Excel, or HTML, or pull it via the API.

Data fields

Field	Description
player / character	The sports player (sports market) or Pokémon character (Pokémon market).
category	Sport/category for sports rows (e.g. baseball-cards).
ytd_2026, ytd_2025	Year-to-date eBay sales in USD, this year and last.
<month>_<year>	That month's eBay sales in USD (e.g. jan_2026).
<month>_<year>_change	Month-over-month change, in %.
<month>_<year>_flow	Month-over-month change, in absolute USD.
ebay_sales_history, cl_sales_history, market_movers_sales_history, cardhedge_sales_history, ebay_product_research	Deep-links to the matching eBay search and price trackers.
scrapedAt	When the row was captured.

How much does it cost to scrape GemRate sales trends?

A run fetches one page (sports or Pokémon) in a real browser to clear GemRate's Cloudflare protection, then parses it — a few seconds and a fraction of a compute unit at 2–4 GB, regardless of how many players come back (the whole list is on one page). On the Apify free tier, the monthly credits cover regular use. Cost scales with how many runs you schedule, not with result count.

Tips & advanced options

• Sports vs Pokémon are separate lists — run each market once to get the full picture.
• Find momentum: download to a sheet and sort by <latest-month>_change to surface what's spiking.
• Year-over-year: compare ytd_2026 vs ytd_2025 for each name.
• Monthly monitoring: schedule the Actor on the 1st of each month and diff against last month's dataset.
• Proxy: keep the default residential Apify Proxy — the browser fetch needs it to clear Cloudflare.

FAQ, disclaimers & support

Do I need a GemRate or eBay account? No. The data is public; just pick a market and run.

How fresh is the data? GemRate updates these monthly; the current month fills in as it progresses.

Why are some months blank for a name? A subject only has values for months it had tracked sales.

Is this affiliated with GemRate or eBay? No. This is an independent, read-only Actor built on GemRate's public site; the underlying endpoints are unofficial and may change. Use the data in line with GemRate's and eBay's Terms of Service and applicable law.

Want a field or market added? Open an issue on the Actor's Issues tab.