Market Movers (Sports Card Investor) Scraper avatar

Market Movers (Sports Card Investor) Scraper

Pricing

from $5.00 / 1,000 dataset rows

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Market Movers (Sports Card Investor) Scraper

Market Movers (Sports Card Investor) Scraper

Scrape public Sports Card Investor / Market Movers data via the app's anonymous tRPC API — card catalogue + market-price stats, keyword search, completed sales (comps), live marketplace listings, deals, daily price stats, market indices, and reference lists. Read-only, no account.

Pricing

from $5.00 / 1,000 dataset rows

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Developer

R.L.

R.L.

Maintained by Community

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0

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2

Total users

1

Monthly active users

2 days ago

Last modified

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Market Movers Scraper 🏀🃏 — sports-card catalogue, market prices, sales comps & live listings

Reads Sports Card Investor / Market Movers' own mobile API directly (the app's anonymous tRPC backend), so it's fast and complete — no HTML scraping, no login. Read-only public data. Export to JSON, CSV, Excel, or an API.

Modes

  • search (default) — search the card/item catalogue by keyword and filters. Every result carries the card's attributes (player, set, sport, grade, variation, rookie, image) plus market-price stats across last7 / last30 / last90 / last365 / all windows (avg/min/max, sales count, change).
  • completedSales — completed sales comps for one or more collectible ids (final price, date, platform, seller, bids, sale URL).
  • activeSaleslive marketplace listings (eBay, Goldin, MySlabs, …) for collectible ids (buy-it-now/auction price, marketplace, end time).
  • dailyStats — per-collectible daily price stats for collectible ids.
  • deals — the app's "great deal" listings feed.
  • marketIndices — curated market indices (SCI 500, …); set indexId (+ startDateISO) to also pull that index's stats series.
  • reference — lookup lists: sports, grades, sale platforms, and platform-wide totals.
// search LeBron cards (with market-price stats)
{ "mode": "search", "query": "lebron james", "sportIds": ["2"], "maxItems": 50 }
// -> { "type":"collectible", "title":"2003 Upper Deck Hardcourt LeBron James Floor", "player":"LeBron James",
// "sport":"Basketball", "grade":"Raw", "price_all_avg":45.04, "price_last30_avg":68.5, "collectible_id":2823287 }
// completed-sale comps for a collectible
{ "mode": "completedSales", "collectibleIds": ["2823287"] }
// -> { "type":"completed_sale", "final_price":72.0, "sale_platform":"eBay", "sale_date":"...", "url":"https://www.ebay.com/itm/..." }
// live listings for a collectible
{ "mode": "activeSales", "collectibleIds": ["2823287"] }
// -> { "type":"active_listing", "marketplace":"ebay", "sale_price":65.0, "buy_it_now_price":80.0, "url":"..." }
// reference lists (sports, grades, platforms, totals)
{ "mode": "reference" }
// -> { "type":"sport", "id":2, "name":"Basketball" } , { "type":"grade", "name":"PSA 10" } , ...

Every row shares one flat schema with a type discriminator, so a mixed export stays a single table; fields that don't apply to a row type are null. Prices are USD dollars as returned by the API.

⚙️ Input

FieldTypeDefaultDescription
modestringsearchsearch · completedSales · activeSales · deals · dailyStats · marketIndices · reference.
querystringSearch mode — keyword.
sportIds / playerIds / gradeIds / setYearsarraySearch filters.
isRookie / isGradedOnlybooleanfalseSearch filters.
sortBy / sortDirectionstringSearch sort.
collectibleIdsarrayCompleted sales / Active listings / Daily stats — the id from Search.
collectibleTypestringsports-cardSales/deals/stats collectible type.
marketplacesarrayActive listings — optional marketplace filter.
indexId / startDateISOstringMarket indices — pull one index's stats.
dateRangeInDaysinteger30Reference — platform-totals window.
maxItemsinteger2000 = all. Only Search paginates.
proxyConfigurationobjectApify datacenterOn by default; the API is not geo-gated.

📤 Output

A flat record per item with a type discriminator. Collectible rows carry player, set_name, set_year, sport, grade, set_variation, price_*_avg, population_count and the full nested stats. Sale rows carry final_price/sale_price, sale_platform/marketplace, sale_date, seller_name, url. Reference rows carry name/id. Shapes that vary (deals, daily stats, index stats, platform totals) also include the raw object under data.

📌 Good to know

  • No login. The app's public.* API is anonymous; this is exactly the public market data the app shows a signed-out user. There is no request signing or API key on this surface.
  • Prices are the app's own compiled market data. Market Movers itself aggregates sales from eBay, Goldin and other auction houses; this actor reads the app's API rather than those upstream sources (which sit behind Akamai/Cloudflare bot walls). Values are point-in-time.
  • Proxy. Apify datacenter proxy is on by default to keep requests off the run's shared IP; the API is not geo-gated, so datacenter is enough (no residential needed).