Status: migrated into QuantVAT WebApp, available on GitHub.
This free Spot Volume Crypto Tracker script lets you scrape high spot-volume crypto tokens from the last 24 hours from CoinGecko, CoinMarketCap, LiveCoinWatch, and CoinRanking.
The tool highlights tokens whose 24-hour trading volume has either exceeded their market cap or is greater than 75% of their market cap. It also includes large-cap tokens — excluding stablecoins — whose 24-hour trading volume is equal to or greater than 50% of their market cap.
The code is simple, open source, and easy to tweak. Technical users can easily customize it to fit their preferred timeframes — whether 4 hours, 6 hours, 12 hours, or 24 hours.
At the time of writing, the tool has already been published on my personal GitHub page, along with straightforward documentation.
I know there are plenty of platforms that already provide this kind of information. Some might even think it’s pointless to create a tool like this — but I assure you, it’s not.
I built it specifically for crypto spot traders — those who trade tokens daily and use volume data to identify strong market interest and potential tokens that might pump next.
These traders, and even anyone curious about where market attention is shifting, can use this tool to instantly get clean, filtered spot-market data from the previous day. No need to spend 30 minutes or more digging through the top 1,000 coins manually.
It’s practically impossible to filter tokens from 1,000 × 4 entries across four platforms without running into duplicates, wash-traded volumes, or inflated data.
To handle this, the tool first scrapes the top 1,000 tokens from each platform that meet the set criteria — where volume exceeds market cap or is greater than 75% of market cap, and for large-caps where volume equals or exceeds 50% of market cap.
Then, it cross-checks tokens across platforms to compare their reported volumes.
If a token’s 24-hour volume matches (or is within a 5% difference) on at least two out of the four platforms, that token is retained, and one data source is randomly selected to represent it — filtering out the rest.
Tokens with higher verification counts indicate more reliable data — often up to 99% accurate compared to those with lower counts (large caps excluded).
Even so, tokens with lower verification counts still tend to show fairly accurate, non-inflated data. So, don’t underestimate them.
Features
- No complex setup required
- Faster execution
- Clear summary during execution
- Redundancy filtering
- Cross-verification for data efficiency
- Tweakable
Follow the steps below to successfully implement the scraper:
- Download the script from GitHub.
- Install the Pydroid 3 app and install the “Requests” library in the PIP section.
- Import the scraper version of your choice.
For Scraper v1, you only need the CoinMarketCap API key and replace API_CODE_GOES_HERE with it.
For Scraper v2, get API keys from the following platforms and replace them with “your_cmc_api_key_here,” “your_lcw_api_key_here,” and “your_cr_api_key_here” in the script.
Now, run the script. Details will appear during execution, and after completion, it will save the results in a CSV file and a highly responsive HTML file in the Download folder of your device.
You can view the CSV file using the CSV Viewer app and export it to PDF.
This simple tool, as I mentioned earlier, is open source — and if you’re familiar with Python, you’re welcome to contribute or build on it.
I’d love to hear your thoughts, experiences, or even feature suggestions for future updates.
Initially published by Abba Abdullahi Garba, also known as Buba on Medium @heisbuba (now defunct) on December 14, 2025.
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