Dexscreener Scraper: Token Price, Liquidity, Volume & Rug Risk
Pricing
from $20.00 / 1,000 reports
Dexscreener Scraper: Token Price, Liquidity, Volume & Rug Risk
Dexscreener token reports for any crypto token or meme coin: price, market cap, liquidity, volume and buys vs sells (5m to 24h), pair age and rug-risk flags. Plus trending, newly boosted and community-takeover tokens and hot narratives. No API key.
Pricing
from $20.00 / 1,000 reports
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Developer
Mariam Ahmed
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18 days ago
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Get a Dexscreener report for any crypto token or meme coin in seconds, with no API key and no login:
- Price and market cap, price change over 5 minutes, 1 hour, 6 hours and 24 hours
- Liquidity, volume, buys and sells summed over all of the token's trading pairs
- Token age and rug-risk flags: low liquidity, brand-new pair, heavy selling, price crash, wash-trading volume, no website or socials
- Discovery: trending (most boosted), newly boosted, new profiles and community-takeover tokens, filtered by chain, liquidity, volume and age
- Narratives: Dexscreener's trending metas (AI, Dog, Cat…) and the top tokens of each
What does this Dexscreener scraper do?
BONK · Solana · 30 pairs · 3.8 years old risk: lowprice $0.000003825 24h +1.15% market cap $337Mliquidity $1.63M 24h volume $2.95M24h trades 31,740 buys / 31,297 sells (ratio 1.01)Trending right now → 15 tokens: 1 low, 7 medium, 7 high riskSTUPID mcap $2.9K liquidity $3.0K -50%+ in 24h → lowLiquidity, newPair, priceCrash, washVolume
- Enter tokens as contract addresses, Dexscreener links, or symbols and names ("BONK", "dogwifhat").
- Optionally discover tokens from Dexscreener's trending, boosted, new-profile and community-takeover lists, or from narratives like "ai". Filter by chain, minimum liquidity, minimum volume, maximum age, or hide high-risk tokens.
- You get one report per token, a trending narratives report, and CSV files of all tokens and their top trading pairs.
flowchart LRA[Addresses, links,<br/>symbols] --> D[All pairs<br/>per token]B[Trending, boosts,<br/>new profiles, takeovers] --> F{Filters<br/>chain, liquidity,<br/>volume, age}C[Narratives<br/>ai, dog, cat…] --> FF --> DD --> E[Token report<br/>price, liquidity, volume,<br/>buys/sells, age, risk]
Who is it for?
- Meme coin and DeFi traders: screen new and trending tokens before you buy, and skip the obvious rugs
- Trading bots and alert channels (Telegram, Discord): schedule it and push new tokens that pass your filters
- Crypto researchers and newsletter writers: which narratives are hot, and which tokens lead them
- Projects and marketers: track your own token's liquidity, volume and buy/sell balance
What data do you get?
Token report
| Field | What it tells you |
|---|---|
symbol, name, chain, tokenAddress, dexscreenerUrl | Which token |
priceUsd, priceChangePercent (m5, h1, h6, h24) | Price and momentum |
marketCapUsd, fdvUsd, liquidityUsd, liquidityToMarketCapPercent | Size and how easy it is to sell |
volumeUsd (m5 to h24), volumeToLiquidity24h | Trading activity |
txns (buys and sells, m5 to h24), buySellRatio1h, buySellRatio24h | Who is in control, buyers or sellers |
pairs, dexes, mainPair | Where it trades |
oldestPairCreatedAt, ageHours, ageDays | How new it is |
riskLevel, riskFlags, riskNotes | Low, medium or high, and why |
websites, socials, boostAmount, discoveredVia | Project links and where the token came from |
matchedBy, otherCandidates | For symbols: how it was matched, and other tokens with the same symbol |
Trending narratives report: every trending meta with market cap, 5 min to 24 h change, volume, liquidity and token count, plus the hottest and coldest 5 of the day.
Files: TOKENS_CSV (one flat row per token) and PAIRS_CSV (top pairs per token: DEX, quote token, liquidity, volume, buys, sells, created date, link).
Risk flags
| Flag | Rule |
|---|---|
lowLiquidity | Liquidity under $10,000 |
newPair | Oldest pair under 24 hours old |
thinLiquidity | Market cap under $100M and liquidity under 2% of it |
heavySelling | Last hour: at least twice as many sells as buys (20+ trades) |
priceCrash | Down 50% or more in 24 hours |
washVolume | 24 h volume over 25 times liquidity |
noLinks | No website or socials |
noTrades | No trades in 24 hours |
communityTakeover | Listed as a community takeover |
High risk: two or more of low liquidity, thin liquidity, heavy selling, price crash, wash volume and no trades, or a new pair with low liquidity. Medium: any other flag. Low: no flags.
Example: 30 September 2026, 15:21 UTC
One run, 38 token reports in 18 seconds: 8 tokens by name or address, 15 trending, 15 from the AI narrative.
| Token | Chain | Price | Market cap | Liquidity | 24 h volume | Buys / sells 24 h | Risk |
|---|---|---|---|---|---|---|---|
| TRUMP | Solana | $2.061 | $581M | $27.6M | $10.8M | 16,156 / 16,126 | low |
| JUP | Solana | $0.3236 | $1.07B | $4.5M | $10.3M | 50,568 / 58,510 | low |
| BONK | Solana | $0.000003825 | $337M | $1.6M | $2.9M | 31,740 / 31,297 | low |
| $WIF (dogwifhat) | Solana | $0.2519 | $252M | $7.2M | $1.4M | 14,122 / 14,448 | low |
| MOODENG ("Moo Deng") | Solana | $0.04731 | $46.8M | $3.1M | $259K | 985 / 1,015 | low |
Of the 15 trending tokens, 7 were high risk, 7 medium and 1 low; 13 were less than a day old. The hottest narratives of the day were Stonks +5.9%, Dog +2.9% and Degen +2.2%, the coldest Brainrot −8.6% and TikTok −8.5%.
Pricing
$0.02 per report (each token, and the narratives report) and $0.001 per trading pair saved.
One token with 5 pairs costs $0.025. The run above (39 reports, 150 pairs) cost $0.93. Set "Pairs to save per token" to 0 to pay for reports only.
Good to know
- Addresses and links are exact. Symbols are not: many tokens share a symbol, and copies can fake huge liquidity. A symbol is matched to the most traded token with that symbol (well-known tokens like WIF, BONK, PEPE, TRUMP use their verified addresses), and
otherCandidateslists the rest. - Liquidity, volume and trades are summed over the pairs where the token is the base token (up to 30 per token, as Dexscreener returns them). Price and price change come from the pair with the most liquidity.
- Risk flags are simple rules, not a contract audit. They catch the obvious rugs; always check before you buy.
- Filters apply to discovered tokens only. Tokens you type are always reported.
- Everything is live at the time of the run. Schedule it every few minutes or hours to catch new launches or follow a token.
- Data comes from Dexscreener's public API, the same numbers dexscreener.com shows.
Input
| Field | Meaning |
|---|---|
| Tokens | Addresses, Dexscreener links, chain:address, symbols or names |
| Discover tokens | Trending, newly boosted, new profiles, community takeovers |
| Narratives | ai, dog, cat, trump… |
| Trending narratives report | On by default |
| Chains | solana, ethereum, base, bsc… |
| Minimum liquidity / 24 h volume | USD, discovered tokens only |
| Maximum age (hours) | e.g. 24 for launches of the last day |
| Hide high-risk tokens | Discovered tokens only |
| Tokens per list | 1 to 200 (default 30) |
| Pairs to save per token | 0 to 30 (default 5) |
Integrations
Export to JSON, CSV, Excel or Google Sheets, or connect through the Apify API, webhooks, Make, Zapier and n8n. Schedule it and send new tokens that pass your filters to Telegram, Discord or Slack.