Coingecko Icons Scraper
Scrape CoinGecko icon and identity data into a simple structured dataset.
Actor: https://apify.com/fetchcraftlabs/coingecko-icons-scraper
Last reviewed: April 21, 2026.
Quick answer
Use this actor when you need coin names, symbols, and icon URLs in a reusable dataset rather than browsing the CoinGecko list manually. It is a lightweight fit for asset directories, UI enrichment, and basic crypto reference data workflows.
At a glance:
- Input: actor run configuration on the Apify listing.
- Output: structured coin names, symbols, and icon URLs.
- Best for: crypto asset directories, icon enrichment, and lightweight reference datasets.
- Not ideal for: deep market analytics or workflows that need pricing/time-series data.
What it does
The actor scrapes cryptocurrency identity information from CoinGecko, including coin names, symbols, and icon URLs. It is intentionally narrow and useful when what you need is asset identity data rather than broader market data.
Who this is for
- Product teams: enrich crypto UIs with coin labels and icons.
- Developers: build lightweight asset reference datasets.
- Researchers: export basic identity data for crypto lists.
- Automation teams: sync simple icon and naming data into internal systems.
Common use cases
- Populate token icons in dashboards or apps.
- Build basic crypto asset lookup tables.
- Export name, symbol, and icon URL data into a design or content workflow.
- Keep lightweight asset metadata available outside the source interface.
Why this actor is useful
This actor solves a narrow but common problem: getting coin identity and icon data into a clean export without having to collect it manually.
When to use it vs. when not to
Use this actor when:
- You need icon URLs and simple coin identity data at scale.
- You want a reusable export for UI or content workflows.
- You do not need full market or pricing coverage.
Look for another workflow when:
- You need time-series pricing, on-chain, or trading data.
- You only need a couple of icons manually.
- Your workflow depends on richer market metadata than the actor is meant to provide.
Limitations and notes
- This writeup is based on the repository description, not a live export validation.
- If your app depends on exact URL fields, naming conventions, or record coverage, run a smaller test first.
- Re-check the live actor page before larger recurring jobs.
FAQ
Is this enough for UI enrichment?
For many lightweight cases, yes. The actor is positioned around the exact fields teams often need first: coin name, symbol, and icon URL.
Is this for market analysis?
No. This actor is much narrower than a market-data scraper. It is focused on asset identity and icon data.
What should I validate first?
Validate the schema, icon URL format, and the subset of assets you care about before integrating it into production systems.
Related pages
- Browse more actor pages on /blogs.
- Need implementation help? Use the contact page.
Next steps
- Run a smaller export and inspect the output fields.
- Map the dataset to your UI or reference workflow.
- Re-check the live actor page before larger recurring runs.