# Pump.fun Token Launch Extraction | Real-time JSON API (`intelscrape/pumpfun-sniper`) Actor Headless JSON extraction API for Pump.fun mechanics. Delivers real-time payloads mapping SPL token launches, liquidity pairs, bonding curves, and dev wallet traces. Optimized for direct system integration via webhooks, AI agent swarms, and quant trading pipelines. Zero UI bloat. - **URL**: https://apify.com/intelscrape/pumpfun-sniper.md - **Developed by:** [IntelScrape](https://apify.com/intelscrape) (community) - **Categories:** Developer tools, AI, Agents - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 token data payloads This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Pump.fun Token Scraper and New Launch Sniper Scrape new token launches from Pump.fun in real-time. Extracts SPL token metadata, bonding curve progress, liquidity data, developer wallet addresses, and rug-pull risk signals. Built for meme coin traders, sniping bots, and DeFi analysts. ### What you get - New token contract addresses and names on launch - Bonding curve percentage and graduation threshold - Market cap, price, and 24h volume - Developer wallet address and creation timestamp - Social links (Twitter, Telegram, website) - Rug-pull risk indicators (liquidity lock status, developer history) - Top holder concentration analysis - Output in deterministic JSON for sniping bots and LangChain agents ### Use cases - **Meme coin sniping** - detect and act on new Pump.fun launches in milliseconds - **Rug-pull detection** - flag suspicious developer wallets before entry - **Trend analysis** - track which token categories are graduating to Raydium - **Portfolio research** - monitor bonding curve progress on held tokens - **LangChain trading agents** - feed real-time Pump.fun data into AI decision pipelines ### Sample output ```json { "mint": "7xKXtg2CW87d97TXJSDpbD5jBkheTqA83TZRuJosgAsU", "name": "PEPE2", "symbol": "PEPE2", "price": 0.00000382, "marketCap": 38200, "bondingCurveProgress": 67.4, "volume24h": 125000, "developer": "9WzDXwBbmkg8ZTbNMqUxvQRAyrZzDsGYdLVL9zYtAWWM", "createdAt": "2026-04-05T18:00:00Z", "socials": { "twitter": "https://x.com/pepe2sol", "telegram": "https://t.me/pepe2sol" }, "rugPullRisk": "LOW", "topHolderConcentration": 12.4, "scrapedAt": "2026-04-05T21:00:00Z" } ```` ### Keywords Pump.fun scraper, Pump.fun token launch, Pump.fun API, meme coin scraper, Solana token scraper, new token launch tracker, Pump.fun sniping bot, bonding curve tracker, rug pull detector, SPL token scraper, Pump.fun new coins, Solana meme coin tracker, DeFi token monitor, Pump.fun data extraction ### Integrations Outputs clean JSON compatible with LangChain, n8n, Make.com, and webhook endpoints. Schedule per-minute runs to build a real-time Pump.fun token feed. *** ### More Actors by This Developer | Actor | What it does | |-------|-------------| | **Solana Whale Tracker** | Monitor smart money wallets and Raydium DEX swaps | | **Amazon Product Scraper** | Scrape Amazon product data, BSR, and reviews at scale | | **Amazon FBA Research Tool** | Find winning FBA products with BSR opportunity scoring | | **TikTok Shop Scraper** | Extract trending product data from TikTok Shop | > Power combo: Run Pump.fun Scraper to find new launches, then cross-reference with Solana Whale Tracker to confirm smart money is buying before entry. # Actor input Schema ## `walletsToTrack` (type: `array`): List of wallet addresses to trace. ## `minimumUSDValue` (type: `integer`): Ignore noise below this dollar threshold. ## `enableAISignals` (type: `boolean`): Inject Buy/Sell machine learning projections into the JSON payload. ## Actor input object example ```json { "walletsToTrack": [ "ENTER_ADDRESS_HERE" ], "minimumUSDValue": 10000, "enableAISignals": true } ``` # Actor output Schema ## `ca` (type: `string`): The exact Solana SPL token contract address. ## `developer_wallet` (type: `string`): Address of the token creator. ## `initial_liquidity_sol` (type: `string`): Starting pool liquidity in SOL. ## `bonding_curve_progress` (type: `string`): Percentage completion of the bonding curve. ## `time_since_launch_sec` (type: `string`): Seconds elapsed since the token hit the curve. ## `ai_trading_signal` (type: `string`): Algorithmic safety rating and sniper recommendation. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("intelscrape/pumpfun-sniper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("intelscrape/pumpfun-sniper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call intelscrape/pumpfun-sniper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=intelscrape/pumpfun-sniper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pump.fun Token Launch Extraction | Real-time JSON API", "description": "Headless JSON extraction API for Pump.fun mechanics. Delivers real-time payloads mapping SPL token launches, liquidity pairs, bonding curves, and dev wallet traces. Optimized for direct system integration via webhooks, AI agent swarms, and quant trading pipelines. Zero UI bloat.", "version": "1.0", "x-build-id": "GirSpdh5b2TKkE1Hb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/intelscrape~pumpfun-sniper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-intelscrape-pumpfun-sniper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/intelscrape~pumpfun-sniper/runs": { "post": { "operationId": "runs-sync-intelscrape-pumpfun-sniper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/intelscrape~pumpfun-sniper/run-sync": { "post": { "operationId": "run-sync-intelscrape-pumpfun-sniper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "minimumUSDValue" ], "properties": { "walletsToTrack": { "title": "Target Wallets", "type": "array", "description": "List of wallet addresses to trace.", "default": [ "ENTER_ADDRESS_HERE" ], "items": { "type": "string" } }, "minimumUSDValue": { "title": "Minimum Transaction Volume (USD)", "type": "integer", "description": "Ignore noise below this dollar threshold.", "default": 10000 }, "enableAISignals": { "title": "Enable LLM Trading Signals", "type": "boolean", "description": "Inject Buy/Sell machine learning projections into the JSON payload.", "default": true } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```