CoinGecko Tokens by Category Scraper

Pulls every token listed in a CoinGecko category (DeFi, meme, L1, ecosystem tags, etc.) with current price, market cap, 24h volume, rank, and price change. Uses the public CoinGecko API: no API key required.

Example output row

{
  "category": "meme-token",
  "coin_id": "dogecoin",
  "symbol": "doge",
  "name": "Dogecoin",
  "price_usd": 0.1423,
  "market_cap_usd": 20895432198,
  "rank": 8,
  "volume_24h_usd": 1034598217,
  "change_pct_24h": 3.14,
  "circulating_supply": 146852429611.0,
  "all_time_high_usd": 0.7376,
  "logo_url": "https://coin-images.coingecko.com/coins/images/5/large/dogecoin.png",
  "last_updated": "2026-06-21T18:00:00.000Z",
  "snapshot_at": "2026-06-21T18:47:01+00:00"
}

How to use

Pass a JSON input with a category array of CoinGecko category slugs.
Category slugs come from the category_id field of the /coins/categories/list endpoint: they are not human-readable names.

{
  "category": [
    "layer-1",
    "meme-token",
    "decentralized-finance-defi",
    "gaming",
    "ethereum-ecosystem",
    "solana-ecosystem"
  ]
}

Field	Type	Default	Description
category	string[]	["layer-1","meme-token","gaming"]	One or more CoinGecko category slugs. Invalid slugs are skipped gracefully.

Each category returns up to 100 tokens ordered by market cap descending.
Large categories (e.g. ethereum-ecosystem has 4000+ tokens) are intentionally truncated to the top 100: buyers want the leaders, not the long tail.

Known slug quirks

• polygon-ecosystem- has a trailing dash (CoinGecko's bug, not ours).
• CoinGecko deprecated some legacy slugs in 2025: if a slug returns 0 results, verify it against /coins/categories/list.

Pricing

Pay per event. Price per 1,000 events:

Event	Base price	Bronze	Silver	Gold
Dataset item	$1.00	$0.90	$0.80	$0.70

Bronze, Silver and Gold are the discounts Apify gives users of its paid plans. The Pricing tab always shows the current prices.

Buyer

• Portfolio trackers monitoring which tokens dominate a sector (RWA, L2s, gaming) without a CoinGecko Pro subscription.
• Quant researchers seeding a watchlist from an entire category in one API call.
• Trading bots that need a refreshed universe of tokens per sector on a schedule.
• DeFi dashboards displaying sector-level market cap and volume aggregates.
• Crypto journalists snapshotting category leaders at publication time.

Run it through the API

Python, with the apify-client package:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("v0iddo/coingecko-tokens-by-category").call(run_input={"category": ["layer-1", "meme-token", "gaming"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript, with the apify-client package:

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('v0iddo/coingecko-tokens-by-category').call({"category": ["layer-1", "meme-token", "gaming"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

One HTTP call that waits for the run and returns the rows (for runs that finish within 5 minutes):

curl -X POST "https://api.apify.com/v2/acts/v0iddo~coingecko-tokens-by-category/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"category": ["layer-1", "meme-token", "gaming"]}'

Use it from an agent (MCP)

Claude, Cursor, VS Code and other MCP clients can call this actor as a tool through the Apify MCP server. Add it to the client's MCP configuration:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=v0iddo/coingecko-tokens-by-category",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

FAQ

Do I need an account, cookies or an API key?

No. The actor reads public data without logging in. You only need an Apify account to start it.

How am I charged?

Pay per event, at the prices on the Pricing tab for your Apify plan (the Pricing section of this page lists them). The platform usage of the run is included in those prices, and your spending limit for a run is always respected.

Why did my run return no results?

The status message and the log of the run say why: usually nothing matched the input, or the source did not answer for a moment. Check the input against the example above and run it again.

Can I run it on a schedule?

Yes. Save your input as a task and add a schedule in the Apify Console (daily, hourly or with a cron expression). Each run gets its own dataset, so you keep a history.

Which formats can I export?

JSON, CSV, Excel, XML, HTML table and RSS from the Output tab or the API. Integrations send the rows to Google Sheets, Slack, Make, Zapier, n8n or a webhook.

Is collecting this data allowed?

The actor collects data that the source publishes openly, without a login. Public data can still be personal data under laws such as the GDPR, and sources have their own terms: make sure your use of the data follows the rules that apply to you.

What happens when the source changes?

An automated test runs the actor every day on the example input and checks the rows, not only that the run finished. When a check fails, the actor is repaired and rebuilt; the build history on this page shows each update.

Something is missing or wrong. Where do I report it?

Open an issue on the Issues tab of this actor with the run link. Requests for a new field are welcome too.

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• App Store Scraper: App Details, Ratings, Prices
• App Store Search Scraper: Apps by Keyword
• App Store Top Charts Scraper: Ranks by Country and Genre
• Chrome Web Store Scraper: Extension Details and Ratings

Source

CoinGecko public REST API: no authentication required.

GET https://api.coingecko.com/api/v3/coins/markets
    ?vs_currency=usd
    &category={category_slug}
    &order=market_cap_desc
    &per_page=100
    &page=1
    &sparkline=false
    &price_change_percentage=24h

Rate limit: ~10 to 30 requests/minute on the unauthenticated tier.
The actor automatically backs off 60 seconds on a 429 response and retries once.