clash royal maxed card  sum avatar
clash royal maxed card sum

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from $0.50 / 1,000 results

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clash royal maxed card  sum

clash royal maxed card sum

this actor returns a list of all cards and for each card, the total amount of unique players in the clan who have it maxed. Using this you can better choose which cards to ask for(donation) and trade.

Pricing

from $0.50 / 1,000 results

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0.0

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Developer

tzur gvili

tzur gvili

Maintained by Community

Actor stats

0

Bookmarked

3

Total users

2

Monthly active users

8 days ago

Last modified

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Clash Royale Clan Maxed Card Level Scraper

Scrapes and aggregates Level 16 (Max Level) card counts from RoyaleAPI for any Clash Royale clan.

Features

  • Unique Clan Identification: Find clans using their unique Clan Tag (e.g., G2QP0ULV) or their full RoyaleAPI URL.
  • Smart Card Normalization: Automatically merges card variants into their base names. Counts for Evolution and Hero versions are correctly grouped together (e.g., "Knight Evolution" and "Hero Knight" are both counted as "Knight").
  • Member Analysis: Scans every member of the clan to verify their maxed card inventory.
  • Aggregated Results: Provides a clear table showing each card and how many players in the clan have it at Level 16.
  • Player Limit: Includes an option to limit the number of players scanned for quick testing.

Input

FieldTypeDescription
Clan Tag or URLstringThe unique identifier for the clan (e.g., G2QP0ULV) or a direct RoyaleAPI link.
Max PlayersintegerMaximum number of players to scrape (set to 0 to scrape the entire clan).
Proxy ConfigurationobjectSettings for using Apify Proxy or custom proxies.

Output

The Actor outputs a list of aggregated card counts in the following format:

[
{
"Card": "Hog Rider",
"Count": 18
},
{
"Card": "The Log",
"Count": 16
}
]
  • Card: The base name of the card.
  • Count: The total count of unique players in the clan who possess the card at Level 16.

How to use

  1. Go to the Input tab in the Apify Console.
  2. Enter the Clan Tag of the clan you want to analyze.
  3. Click Start.
  4. View the results in the Dataset tab once the run is complete.