DexScreener Scraper — DEX Pairs, Prices & Token Data
Pricing
from $1.45 / 1,000 dex pair results
DexScreener Scraper — DEX Pairs, Prices & Token Data
Scrape Dexscreener DEX market data — token pairs, USD/native price, liquidity, 24h volume, FDV, market cap across all chains. Search, pair, token and trending-profile modes. Public API, no key. Each record has parse_confidence.
Pricing
from $1.45 / 1,000 dex pair results
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Vitalii Bondarev
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Dexscreener Scraper — DEX Pairs, Token Prices & Trending | All Chains | from $1.50/1K
For DeFi traders, crypto market makers, and on-chain intelligence platforms that need structured pair data across all major blockchains — including real-time token prices, liquidity, FDV, and trending social metadata.
No auth required. All chains — Ethereum, Solana, BSC, Polygon, Arbitrum, Base and 50+ more. $1.50/1,000 pair records · $3.00/1,000 token profiles (Pay Per Event).
Scrape live DEX (decentralized exchange) trading pair data from Dexscreener via the official public API. Search by token name or symbol, look up specific pairs by chain and address, fetch all pairs for a token, or browse the latest trending token profiles. No API key or authentication required.
What data you get
Each DEX pair record includes:
| Field | Description |
|---|---|
chain_id | Blockchain (ethereum, solana, bsc, polygon, arbitrum, base, …) |
dex_id | DEX name (uniswap, raydium, pancakeswap, …) |
pair_address | Pair contract address |
base_token_symbol | Base token ticker (e.g. PEPE, BTC) |
base_token_name | Base token full name |
base_token_address | Base token contract address |
quote_token_symbol | Quote token ticker (e.g. WETH, USDT) |
quote_token_name | Quote token full name |
quote_token_address | Quote token contract address |
price_usd | Current price in USD |
price_native | Current price in quote token units |
liquidity_usd | Total liquidity in USD |
volume_24h | 24-hour trading volume in USD |
price_change_24h | % price change over the last 24 hours |
fdv | Fully diluted valuation in USD |
market_cap | Market cap in USD |
pair_created_at | ISO 8601 date when the pair was created on-chain |
url | Canonical Dexscreener URL |
parse_confidence | Data quality score 0.0–1.0 |
warnings | Machine-readable warning codes |
For profiles mode, icon_url, description, website_url, and twitter_url
are also populated.
Modes
- search — Find pairs by token name or symbol. Each query returns up to 30 matching pairs across all chains and DEXes.
- pairs — Fetch specific pairs by
chain/pairAddress. Up to 30 per chain in one call. - tokens — Fetch all pairs for a token contract address (up to 30 per token).
- profiles — Fetch the latest trending token profiles with descriptions and social links.
Use cases
- Crypto market monitoring dashboards
- DeFi arbitrage and liquidity analysis
- Token launch tracking and research
- On-chain data enrichment pipelines
- Meme coin discovery and trend analysis
Pricing example
Pay per result (PPE). Charged per record pushed:
| Fetch | Records | Cost |
|---|---|---|
| Search "PEPE" (top 30 pairs) | 30 | ~$0.045 |
| 10 specific pair addresses | 10 | ~$0.015 |
| All pairs for 1 token address | up to 30 | ~$0.045 |
| Latest trending profiles (top ~30) | ~30 | ~$0.09 |
| 1,000 search results | 1,000 | ~$1.50 |
No proxy costs — Dexscreener API is fully public, zero infrastructure cost to you.
FAQ
Do I need a Dexscreener account or API key? No. The Dexscreener public API requires no authentication of any kind.
What formats can I export to? JSON, CSV, and Excel via the Apify dataset or REST API. The flat schema maps directly to pandas or Google Sheets.
Can I schedule this to run automatically? Yes. Schedule in Apify Console (e.g. every 5 minutes) or trigger via n8n / Make webhook to build a live on-chain monitoring feed.
What if a query returns empty or a token address is invalid?
Empty queries are skipped with a log warning. Invalid or unlisted token addresses return zero pairs — the actor logs and continues, no crash. Check failedDetails in the output for any failed lookups.
Trust signal
Every record includes parse_confidence (1.0 = all expected fields present, below 1.0 = missing/unexpected data). Use this for downstream quality filtering without manual inspection.
Competitor comparison
| Scraper | Chains | Price model | Social data? | parse_confidence? |
|---|---|---|---|---|
| This actor | 50+ chains | PPE $1.50–3/1K | yes (profiles mode) | yes |
| dextools-scraper (DOM) | Ethereum, BSC | rental | no | no |
| moralis-price-api (3rd-party) | 5 chains | $49/mo | no | no |
| dexscreener-unofficial | Some chains | flat fee | no | no |
Use with AI agents (MCP)
This actor is callable as a tool by AI agents (Claude Desktop, Cursor, VS Code, n8n, LangGraph, CrewAI, or any MCP-compatible client) via Apify's hosted Model Context Protocol server. An agent uses it to look up on-chain token prices, liquidity, and trending DeFi pairs mid-conversation — e.g. "what is the current price of PEPE on Ethereum?", "show me trending tokens with liquidity > $100K".
Point your MCP client at this tool:
{"mcpServers": {"apify": {"command": "npx","args": ["mcp-remote","https://mcp.apify.com/?tools=bovi/dexscreener-scraper","--header","Authorization: Bearer <YOUR_APIFY_TOKEN>"]}}}
Minimal input an agent can send:
{ "mode": "search", "queries": ["PEPE"], "maxItems": 10 }
Notes
- Official Dexscreener public API — no authentication required.
- Rate limits are generous; the actor adds small delays between batch calls.
- This actor is not affiliated with or endorsed by Dexscreener.
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Integrations
Built for DeFi traders and on-chain intelligence platforms tracking live DEX pair prices, liquidity, and trending tokens — the JSON/dataset output drops into the tools you already run, no glue code:
- n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
- Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
- MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
- API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.
See all Apify integrations.