dexscraper 1.0.2

Real-time DexScreener WebSocket scraper for cryptocurrency data

👻 Dexscraper

Real-time DexScreener market data in one CLI/SDK.

[!IMPORTANT] This project is independent and not affiliated with DexScreener.
Use at your own risk for research purposes only and comply with DexScreener terms.

Install Dexscraper

Install with `pip` or `uv`

# pip install
pip install dexscraper

# or uv install
uv pip install dexscraper

Alternative: Development install

# download and install from main branch
git clone https://github.com/vincentkoc/dexscraper.git
cd dexscraper
pip install -e .[dev]

Why Dexscraper?

DexScreener data is useful, but scraping it consistently is painful: protocol changes, Cloudflare behavior, reconnect logic, and export formatting. Dexscraper gives you one stable interface for real-time extraction, filtering, and export, both from CLI and Python code.

What You Get

• Real-time streaming of webSocket extraction
• Multi-chain and multi-DEX filtering
• Trending/top/gainers/new presets
• Structured token profiles and OHLC/OHLCVT output for tools like Metatrader
• Optional Cloudflare bypass flow
• Typed Python SDK + CLI

Commands

dexscraper                                                                    # streaming json
dexscraper interactive                                                        # gui mode
dexscraper trending --chain solana --limit 10 --once                          # trending
dexscraper top --chain ethereum --min-liquidity 50000 --once                  # top
dexscraper trending --chain solana --format json --output pairs.json --once   # trending to file
dexscraper --mode trending --chain solana --format rich                       # gui mode

Python SDK

import asyncio
from dexscraper import DexScraper, ScrapingConfig, Filters, Chain, RankBy, Timeframe

config = ScrapingConfig(
    timeframe=Timeframe.H1,
    rank_by=RankBy.VOLUME,
    filters=Filters(chain_ids=[Chain.SOLANA], liquidity_min=50_000),
)

async def main():
    scraper = DexScraper(config=config, use_cloudflare_bypass=True)
    batch = await scraper.extract_token_data()
    for token in batch.get_top_tokens(10):
        if token.price is not None:
            print(token.get_display_name(), token.price)

asyncio.run(main())

Contributing

Contributions are welcome. See CONTRIBUTING.md.

Open an issue for bugs, start a discussion for questions, and star the repo if it helps.

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Made with 💙 by Vincent Koc · GPL-3.0