# Bluesky Scraper: Profiles, Posts & Followers (`scrapemint/bluesky-scraper`) Actor Scrape Bluesky without an account: profiles with follower counts, posts with engagement stats, follower and following lists, people search, and post lookups with likers. One clean JSON row per item via the public API. No login, no API key, no browser. - **URL**: https://apify.com/scrapemint/bluesky-scraper.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Social media, Marketing - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Bluesky Scraper: Profiles, Posts & Followers Scrape public Bluesky data without an account, an API key or a browser. Give it handles, people searches or post URLs and get clean JSON rows: profiles with follower counts, posts with engagement stats, follower and following lists, and the accounts that liked a post. ### What you can pull | Mode | Input | Rows you get | | --- | --- | --- | | Accounts | handles or profile URLs | one `profile` row per account + its recent `post` rows | | Audience | same handles, toggle on | one row per `follower` / `following`, with full counts and bio | | People search | keywords ("data journalist") | one `account` row per match — a lead list for any niche | | Post lookup | bsky.app post URLs | the `post` with like/repost/reply/quote counts, plus optional `liker` rows | Every profile-shaped row (profile, follower, following, account, liker) includes handle, display name, bio, links found in the bio, follower/following/post counts, join date and profile URL. Every post row includes text, timestamp, like/repost/reply/quote counts, links, hashtags, embed type and language. ### Example input ```json { "handles": ["bsky.app", "nytimes.com"], "includeProfile": true, "includePosts": true, "maxPostsPerHandle": 15 } ```` ### Who uses this - **Marketers and social teams**: track competitor accounts, benchmark engagement, find creators in a niche with people search. - **Lead generation**: export a competitor's followers or a post's likers as a warm audience, bios and links included. - **Researchers and journalists**: collect an account's posting history with engagement counts for analysis. - **Brand monitoring**: watch specific accounts and posts on a schedule. ### Pricing You pay a small fee per row. Rows that give you nothing are free: unknown handles, unrecognizable or deleted post URLs, and searches with no matches. The first 2 rows of every run are also free, so you can try it for $0. ### Notes and limits - Data comes from Bluesky's public API (the same one the app's logged-out view uses). Only public information is returned — no private accounts, no emails, no logged-in data. - Keyword search across **all** posts is not available: Bluesky requires authentication for that endpoint, and this actor deliberately uses no account. Post scraping works per-account (author feeds) or per-post (URLs). - Reposts and replies are excluded from author feeds by default; both have toggles. - The shared API rate limit is generous, but if Bluesky throttles the run it stops cleanly with the rows collected so far. # Actor input Schema ## `handles` (type: `array`): Bluesky accounts to scrape, one per line. Accepts handles ("nytimes.com", "@user.bsky.social"), profile URLs ("https://bsky.app/profile/bsky.app") or DIDs. ## `includeProfile` (type: `boolean`): Emit one profile row per account: display name, bio, follower/following/post counts, join date, avatar. ## `includePosts` (type: `boolean`): Emit the account's recent posts with text, timestamps, like/repost/reply/quote counts, links and hashtags. ## `maxPostsPerHandle` (type: `integer`): How many recent posts to fetch for each account (newest first). ## `includeReposts` (type: `boolean`): Also emit posts the account reposted (marked with repostedByHandle). Off = original posts only. ## `includeReplies` (type: `boolean`): Also emit the account's replies to other posts. Off = top-level posts only. ## `includeFollowers` (type: `boolean`): Emit one profile row per follower of each account, with full follower/post counts and bio. ## `includeFollows` (type: `boolean`): Emit one profile row per account each handle follows, with full counts and bio. ## `maxFollowersPerHandle` (type: `integer`): Cap on follower and following rows fetched per account. ## `searchQueries` (type: `array`): Find accounts by keyword, one search per line ("data journalist", "indie hacker"). Each match becomes a full profile row - a lead list of accounts in a niche. ## `maxAccountsPerQuery` (type: `integer`): How many matching accounts to return for each people search. ## `postUrls` (type: `array`): Individual posts to look up, one URL per line ("https://bsky.app/profile/bsky.app/post/3l6oveex3ii2l"). Returns the post with its engagement counts. ## `includeLikers` (type: `boolean`): For each post URL, also emit one profile row per account that liked it - see exactly who engages with a post. ## `maxLikersPerPost` (type: `integer`): Cap on liker rows fetched per post URL. ## `maxRows` (type: `integer`): Stop after this many rows in total. ## Actor input object example ```json { "handles": [ "bsky.app", "nytimes.com" ], "includeProfile": true, "includePosts": true, "maxPostsPerHandle": 15, "includeReposts": false, "includeReplies": false, "includeFollowers": false, "includeFollows": false, "maxFollowersPerHandle": 200, "maxAccountsPerQuery": 25, "includeLikers": false, "maxLikersPerPost": 100, "maxRows": 2000 } ``` # 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 = { "handles": [ "bsky.app", "nytimes.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/bluesky-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 = { "handles": [ "bsky.app", "nytimes.com", ] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/bluesky-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 '{ "handles": [ "bsky.app", "nytimes.com" ] }' | apify call scrapemint/bluesky-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/bluesky-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky Scraper: Profiles, Posts & Followers", "description": "Scrape Bluesky without an account: profiles with follower counts, posts with engagement stats, follower and following lists, people search, and post lookups with likers. One clean JSON row per item via the public API. No login, no API key, no browser.", "version": "0.1", "x-build-id": "PhAQsHOcUvL1kRKKv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~bluesky-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-bluesky-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapemint~bluesky-scraper/runs": { "post": { "operationId": "runs-sync-scrapemint-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapemint~bluesky-scraper/run-sync": { "post": { "operationId": "run-sync-scrapemint-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "handles": { "title": "Accounts", "type": "array", "description": "Bluesky accounts to scrape, one per line. Accepts handles (\"nytimes.com\", \"@user.bsky.social\"), profile URLs (\"https://bsky.app/profile/bsky.app\") or DIDs.", "items": { "type": "string" } }, "includeProfile": { "title": "Include profile row", "type": "boolean", "description": "Emit one profile row per account: display name, bio, follower/following/post counts, join date, avatar.", "default": true }, "includePosts": { "title": "Include posts", "type": "boolean", "description": "Emit the account's recent posts with text, timestamps, like/repost/reply/quote counts, links and hashtags.", "default": true }, "maxPostsPerHandle": { "title": "Posts per account", "minimum": 1, "maximum": 3000, "type": "integer", "description": "How many recent posts to fetch for each account (newest first).", "default": 15 }, "includeReposts": { "title": "Include reposts", "type": "boolean", "description": "Also emit posts the account reposted (marked with repostedByHandle). Off = original posts only.", "default": false }, "includeReplies": { "title": "Include replies", "type": "boolean", "description": "Also emit the account's replies to other posts. Off = top-level posts only.", "default": false }, "includeFollowers": { "title": "Include followers", "type": "boolean", "description": "Emit one profile row per follower of each account, with full follower/post counts and bio.", "default": false }, "includeFollows": { "title": "Include following", "type": "boolean", "description": "Emit one profile row per account each handle follows, with full counts and bio.", "default": false }, "maxFollowersPerHandle": { "title": "Followers / following per account", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Cap on follower and following rows fetched per account.", "default": 200 }, "searchQueries": { "title": "People search", "type": "array", "description": "Find accounts by keyword, one search per line (\"data journalist\", \"indie hacker\"). Each match becomes a full profile row - a lead list of accounts in a niche.", "items": { "type": "string" } }, "maxAccountsPerQuery": { "title": "Accounts per search", "minimum": 1, "maximum": 1000, "type": "integer", "description": "How many matching accounts to return for each people search.", "default": 25 }, "postUrls": { "title": "Post URLs", "type": "array", "description": "Individual posts to look up, one URL per line (\"https://bsky.app/profile/bsky.app/post/3l6oveex3ii2l\"). Returns the post with its engagement counts.", "items": { "type": "string" } }, "includeLikers": { "title": "Include post likers", "type": "boolean", "description": "For each post URL, also emit one profile row per account that liked it - see exactly who engages with a post.", "default": false }, "maxLikersPerPost": { "title": "Likers per post", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Cap on liker rows fetched per post URL.", "default": 100 }, "maxRows": { "title": "Max rows", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Stop after this many rows in total.", "default": 2000 } } }, "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 } } } } } } } } } } ```