PriceCharting video game price extractor

Turn PriceCharting.com console listings into a structured dataset of video game market values. This Apify actor collects the loose (cart/disc only), complete-in-box (CIB), and new prices PriceCharting publishes for each game, then delivers every game as a separate dataset item with its console and source URL attached.

It is built for collectors, resellers, and pricing-research teams that want a repeatable, batch-friendly way to pull PriceCharting's current price guide without manually scrolling every console page.

Why use this actor?

• Full-coverage or targeted — scrape a single console (e.g. super-nintendo) or leave the list empty to walk every supported system (45+ consoles).
• Three price points per game — loose, complete (CIB), and new values in one record.
• Source-linked records — every item keeps its console slug and the originating PriceCharting console URL for easy verification.
• Configurable pacing — tune the scroll pause so lazy-loaded listings fully render before parsing, and control browser concurrency for the full sweep.
• Apify-native workflow — schedule runs, monitor progress, and export the resulting dataset as JSON, CSV, Excel, or another supported format.

What you can collect

Each game record includes the following publicly visible fields from PriceCharting:

Field	Description
game	Game title as listed on PriceCharting
console	Console slug (e.g. virtual-boy, super-nintendo)
loose_val	Loose / used price
complete_val	Complete-in-box (CIB) price
new_val	New / sealed price
date(D/M/Y)	The date the values were collected
sourceUrl	The PriceCharting console listing the record came from

Missing prices are returned as N/A rather than invented.

Input

Field	Type	Required	Description
consoles	Array of strings	No	Console slugs to scrape. Leave empty to scrape all supported consoles.
workers	Integer	No	Concurrent browser instances for the all-consoles run (default 1).
pause	Number	No	Seconds between scrolls while a listing lazy-loads (default 1.5).

Example input

Scrape the Super Nintendo and NES price guides:

{
  "consoles": ["super-nintendo", "nes"],
  "workers": 1,
  "pause": 1.5
}

Scrape every supported console:

{
  "consoles": [],
  "workers": 1,
  "pause": 1.5
}

Output

The actor pushes one dataset item per game. A representative result looks like this:

{
  "game": "Wario Land",
  "console": "virtual-boy",
  "loose_val": "69.99",
  "complete_val": "166.56",
  "new_val": "336.45",
  "date(D/M/Y)": "14/08/2026",
  "sourceUrl": "https://www.pricecharting.com/console/virtual-boy"
}

Built for practical workflows

• Collection valuation — price an entire library across loose, CIB, and new conditions.
• Reseller sourcing — compare current PriceCharting market values to listing prices.
• Market research — track price-guide snapshots over time by scheduling runs.
• Data operations — feed the dataset into spreadsheets, warehouses, or pricing dashboards.

How to run

1. Open the actor in Apify.
2. Optionally add console slugs to consoles (empty = all consoles).
3. Adjust workers and pause if needed.
4. Start the run and review or export the dataset.

Important limitations

• Values reflect PriceCharting's public listings at run time and can change between runs.
• A full all-consoles sweep opens a browser per console and can take a while; use workers cautiously on memory-constrained runs.
• If PriceCharting changes its page structure, a console may parse partially or return no records; failed consoles are reported separately.
• Use the collected information in accordance with PriceCharting's terms and your organization's data-use policies.