# Farcaster Casts + Profiles Scraper (`claudethegoat/farcaster-casts-profiles-scraper`) Actor Extract casts (posts) and profiles from Farcaster — the decentralized social network — via keyless public APIs. Full-text cast search, rich profiles, and channel feeds. No account, no credentials, public data only. - **URL**: https://apify.com/claudethegoat/farcaster-casts-profiles-scraper.md - **Developed by:** [Manik Anand](https://apify.com/claudethegoat) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 result scrapeds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Farcaster Casts + Profiles Scraper Extract **casts** (posts) and **profiles** from **Farcaster** — the fast-growing decentralized social network — using **keyless public APIs**. No account, no API key, no credentials, no proxy spend. Public, logged-out data only. Farcaster is the leading web3-native social protocol (the network behind the Warpcast / Farcaster app, backed by a16z). It is where crypto founders, builders, and communities publish in the open — a high-signal, under-scraped data source for AI pipelines, market research, and community intelligence. ### What it does - **Search casts** by keyword or phrase — full-text search across all public casts, newest first, with resolved authors and engagement counts - **Scrape profiles** by username or FID — rich account data: bio, follower / following counts, verified addresses, connected X (Twitter) accounts - **Include user timelines** — optionally pull each profile's recent casts in the same run - **Channel feeds** — collect recent casts from any channel (e.g. `/base`, `/degen`, `/farcaster`) via the canonical Farcaster hub - **Unified, flattened output** — casts and profiles land as clean, one-object-per-row dataset items with consistent field names ### Why use this actor | Alternative | Problem | This actor | |---|---|---| | Neynar / other hosted Farcaster APIs | Require a paid API key + signup | **Keyless** — zero credentials | | Generic "web3 social" scrapers | Don't cover Farcaster casts/profiles | Purpose-built for Farcaster | | Raw Hubble hub calls | Return FID-only protobuf; no text search; no resolved authors | Full-text search + **resolved usernames, display names, engagement** | | DIY scripts | Break on rate-limits / upstream blocks | **Born hardened** — never crashes, degrades gracefully | At publish time there is **no dedicated Farcaster casts+profiles scraper on the Apify Store** — this fills a clear gap for a network with millions of casts. ### Modes #### 1. Search casts ```json { "mode": "search", "searchTerms": ["ethereum", "base app"], "maxResults": 500 } ```` Full-text search over public casts. Each term is a separate query. Cursor pagination walks real depth. #### 2. Profiles ```json { "mode": "profile", "usernames": ["dwr", "vitalik.eth"], "includeUserCasts": true, "maxResults": 100 } ``` Rich profiles by username (or `fids: [3, 5650]`). With `includeUserCasts`, also pulls each user's recent cast timeline. #### 3. Channel feed ```json { "mode": "channel", "channels": ["base", "degen", "farcaster"], "maxResults": 300 } ``` Recent casts in a channel, pulled from the canonical Farcaster hub and joined to resolved author usernames. ### Output fields #### Casts | Field | Type | Description | |---|---|---| | `hash` | string | Canonical cast hash (unique id) | | `url` | string | Permalink | | `text` | string | Cast body text | | `timestamp` | string | ISO 8601 timestamp | | `author_fid` | integer | Author's Farcaster ID | | `author_username` | string | Author @username | | `author_display_name` | string | Author display name | | `author_follower_count` | integer | Author followers | | `reply_count` | integer | Replies (search/profile modes) | | `reaction_count` | integer | Likes (search/profile modes) | | `recast_count` | integer | Recasts (search/profile modes) | | `channel_key` | string | Channel the cast was posted to | | `image_urls` | array | Embedded image URLs | | `embed_urls` | array | Embedded link URLs | | `has_media` | boolean | Whether the cast has media | | `mentions` | array | Mentioned users | | `parent_hash` | string | Parent cast hash (if a reply) | #### Profiles | Field | Type | Description | |---|---|---| | `fid` | integer | Farcaster ID | | `username` | string | @username | | `display_name` | string | Display name | | `url` | string | Profile link | | `bio` | string | Bio text | | `follower_count` | integer | Followers | | `following_count` | integer | Following | | `pfp_url` | string | Profile picture URL | | `external_url` | string | Linked website | | `connected_accounts` | array | Linked accounts (e.g. X/Twitter) | ### Common use cases - **Crypto & web3 research** — track narratives, tokens, and protocols as builders discuss them in the open - **Brand & founder monitoring** — follow mentions of your product, company, or people on Farcaster - **Community intelligence** — monitor channels like `/base` or `/degen` for emerging topics - **AI / RAG pipelines** — feed fresh, high-signal social text into retrieval systems - **KOL & influencer discovery** — profile accounts and their reach in a niche - **Sentiment analysis** — classify public opinion on trending crypto/tech topics ### Pricing **Pay per result:** $0.001 per dataset item (cast or profile). Example: 10,000 casts ≈ **$10**. You only pay for results actually delivered; the actor stops when your run's charge limit is reached. ### Technical notes & resilience - **Keyless** — uses the public Warpcast API (`api.warpcast.com`) for search + profiles and the public Pinata Hubble hub (`hub.pinata.cloud`) for channel feeds. No key, no login, no proxy. - **Never crashes** — every upstream call retries transient errors (429 / 5xx / network) with exponential backoff and degrades gracefully on a hard block (keeps partial results, exits 0). A bad or empty input still returns output. - **Verified pagination** — cursor pagination is confirmed to advance across pages (no duplicate walls). - **Polite pacing** — ~3 requests/sec with automatic backoff. - **Charge-limit aware** — stops cleanly when your spending limit is hit; no overrun. ### Data compliance This actor accesses only **public, logged-out data** through Farcaster's public APIs. Farcaster is an open protocol whose casts are publicly broadcast. No login credentials are used. Suitable for research and business use of public data. # Actor input Schema ## `mode` (type: `string`): What to scrape. 'search' = full-text cast search by keyword. 'profile' = rich profiles by username/FID (optionally with each user's recent casts). 'channel' = recent casts in a channel (e.g. /base, /degen) via the canonical Farcaster hub. ## `searchTerms` (type: `array`): Keywords or phrases to search across all public casts. Each term runs as a separate query. ## `usernames` (type: `array`): Farcaster usernames to fetch profiles for (with or without a leading @). Example: dwr, vitalik.eth ## `fids` (type: `array`): Farcaster IDs (numeric) to fetch profiles for directly — an alternative to usernames. ## `channels` (type: `array`): Channel keys to pull recent casts from (with or without a leading /). Example: farcaster, base, degen ## `includeUserCasts` (type: `boolean`): When scraping profiles, also fetch each user's recent cast timeline (up to Max results per target). ## `maxResults` (type: `integer`): Maximum casts to return per search term / per channel / per user timeline. Higher values increase cost and run time. ## Actor input object example ```json { "mode": "search", "searchTerms": [ "ethereum", "base app" ], "usernames": [ "dwr", "vitalik.eth" ], "fids": [], "channels": [ "farcaster", "base" ], "includeUserCasts": false, "maxResults": 200 } ``` # 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 = { "searchTerms": [ "ethereum", "base app" ], "usernames": [ "dwr", "vitalik.eth" ], "fids": [], "channels": [ "farcaster", "base" ] }; // Run the Actor and wait for it to finish const run = await client.actor("claudethegoat/farcaster-casts-profiles-scraper").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 = { "searchTerms": [ "ethereum", "base app", ], "usernames": [ "dwr", "vitalik.eth", ], "fids": [], "channels": [ "farcaster", "base", ], } # Run the Actor and wait for it to finish run = client.actor("claudethegoat/farcaster-casts-profiles-scraper").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 '{ "searchTerms": [ "ethereum", "base app" ], "usernames": [ "dwr", "vitalik.eth" ], "fids": [], "channels": [ "farcaster", "base" ] }' | apify call claudethegoat/farcaster-casts-profiles-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=claudethegoat/farcaster-casts-profiles-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Farcaster Casts + Profiles Scraper", "description": "Extract casts (posts) and profiles from Farcaster — the decentralized social network — via keyless public APIs. Full-text cast search, rich profiles, and channel feeds. No account, no credentials, public data only.", "version": "0.1", "x-build-id": "gW7Br5VIiE1bPiYEW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/claudethegoat~farcaster-casts-profiles-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-claudethegoat-farcaster-casts-profiles-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/claudethegoat~farcaster-casts-profiles-scraper/runs": { "post": { "operationId": "runs-sync-claudethegoat-farcaster-casts-profiles-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/claudethegoat~farcaster-casts-profiles-scraper/run-sync": { "post": { "operationId": "run-sync-claudethegoat-farcaster-casts-profiles-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "mode": { "title": "Mode", "enum": [ "search", "profile", "channel" ], "type": "string", "description": "What to scrape. 'search' = full-text cast search by keyword. 'profile' = rich profiles by username/FID (optionally with each user's recent casts). 'channel' = recent casts in a channel (e.g. /base, /degen) via the canonical Farcaster hub.", "default": "search" }, "searchTerms": { "title": "Search terms (search mode)", "type": "array", "description": "Keywords or phrases to search across all public casts. Each term runs as a separate query.", "items": { "type": "string" } }, "usernames": { "title": "Usernames (profile mode)", "type": "array", "description": "Farcaster usernames to fetch profiles for (with or without a leading @). Example: dwr, vitalik.eth", "items": { "type": "string" } }, "fids": { "title": "FIDs (profile mode, alternative to usernames)", "type": "array", "description": "Farcaster IDs (numeric) to fetch profiles for directly — an alternative to usernames.", "items": { "type": "string" } }, "channels": { "title": "Channels (channel mode)", "type": "array", "description": "Channel keys to pull recent casts from (with or without a leading /). Example: farcaster, base, degen", "items": { "type": "string" } }, "includeUserCasts": { "title": "Include each user's recent casts (profile mode)", "type": "boolean", "description": "When scraping profiles, also fetch each user's recent cast timeline (up to Max results per target).", "default": false }, "maxResults": { "title": "Max results per target", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Maximum casts to return per search term / per channel / per user timeline. Higher values increase cost and run time.", "default": 200 } } }, "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 } } } } } } } } } } ```