# Bluesky Scraper . Followers, Follows, Posts (`seemuapps/bluesky-scraper`) Actor Scrape any public Bluesky profile — followers, follows, posts, or profile metadata. No login. - **URL**: https://apify.com/seemuapps/bluesky-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start 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 ## Bluesky Scraper — Followers, Follows, Posts Scrape any public Bluesky profile — followers, follows, posts, or profile metadata. Powered by the open atproto public API, so there's no login, no API key, no setup. ### What you get Four modes in one actor — one record per row, ready to export. **Followers / Follows mode** — one row per user: - `did`, `handle`, `displayName`, `description` - `avatar` URL, `createdAt`, `profileUrl` - `relation` flag (`follower` or `follow`) - `scrapedFromHandle` — the account you queried **Posts mode** — one row per post from the user's author feed: - `postUri`, `postUrl`, `cid` - `text`, `createdAt`, `indexedAt`, `langs` - Engagement: `likeCount`, `repostCount`, `replyCount`, `quoteCount` - `isReply` / `replyToUri`, `isRepost` / `repostedByHandle` - `embedType` (image, video, external link, quoted post) - Author fields: `authorDid`, `authorHandle`, `authorDisplayName`, `authorAvatar` **Profile mode** — single row with full profile metadata: - `displayName`, `description`, `avatar`, `banner` - `followersCount`, `followsCount`, `postsCount` - `createdAt`, `indexedAt`, `profileUrl` **Pagination** - `NEXT_PAGE_ID` cursor saved to the Key-value store so large lists can be chained across runs ### Use cases - **Audience research** — pull the full follower list of any creator, brand, or competitor - **Lead generation** — find people in a niche by following the followers of a topical account - **Content analysis** — track a Bluesky account's posts, engagement, and posting cadence - **Competitor monitoring** — keep tabs on what an account publishes and how it performs - **Network mapping** — combine `follows` and `followers` to reconstruct community graphs - **LLM / RAG ingestion** — feed clean post text and author metadata into your AI pipeline ### How to use 1. Enter the **Handle or DID** — accepts `bsky.app`, `jay.bsky.team`, a profile URL like `https://bsky.app/profile/bsky.app`, or a DID. A bare username like `alice` is auto-completed to `alice.bsky.social`. 2. Choose a **Mode** — Followers / Follows / Posts / Profile only 3. Set **Max Items** — default 500 per run, or 0 for unlimited (stops just before the actor timeout) 4. Run the actor — results appear in the **Dataset** tab 5. To fetch the next page, copy `NEXT_PAGE_ID` from the **Key-value store** tab and paste it into **Page ID** on the next run ### Output format **Followers / Follows row:** ```json { "kind": "user", "relation": "follower", "scrapedFromHandle": "bsky.app", "did": "did:plc:abc123", "handle": "alice.bsky.social", "displayName": "Alice", "description": "art & code", "avatar": "https://cdn.bsky.app/...", "createdAt": "2024-05-01T12:34:56Z", "profileUrl": "https://bsky.app/profile/alice.bsky.social" } ```` **Post row:** ```json { "kind": "post", "scrapedFromHandle": "bsky.app", "postUri": "at://did:plc:.../app.bsky.feed.post/3mlvllqtnmk2g", "postUrl": "https://bsky.app/profile/bsky.app/post/3mlvllqtnmk2g", "cid": "bafyreidkk...", "text": "Welcome to Bluesky!", "createdAt": "2026-05-15T14:54:22Z", "indexedAt": "2026-05-15T14:54:23Z", "langs": ["en"], "isReply": false, "replyToUri": null, "isRepost": false, "repostedByDid": null, "repostedByHandle": null, "embedType": "app.bsky.embed.record", "replyCount": 12, "repostCount": 5, "likeCount": 220, "quoteCount": 3, "authorDid": "did:plc:...", "authorHandle": "bsky.app", "authorDisplayName": "Bluesky", "authorAvatar": "https://cdn.bsky.app/..." } ``` ### Pagination For large accounts (millions of followers), use the pagination cursor to fetch more across multiple runs: 1. Run the actor — when it finishes, `NEXT_PAGE_ID` is saved in the **Key-value store** tab 2. Copy the `NEXT_PAGE_ID` value 3. Start a new run with the same handle and mode and paste it into the **Page ID** field 4. Repeat until `NEXT_PAGE_ID` is `null` (list fully exhausted) # Actor input Schema ## `handle` (type: `string`): Bluesky handle (e.g. 'bsky.app' or 'jay.bsky.team'), profile URL (https://bsky.app/profile/handle), or DID. A bare username like 'alice' is treated as 'alice.bsky.social'. ## `mode` (type: `string`): What to fetch: followers list, follows list, the user's posts, or just the profile metadata. ## `maxItems` (type: `integer`): Maximum records to return. Set 0 for unlimited (stops ~60s before actor timeout). Ignored in 'Profile only' mode. ## `pageId` (type: `string`): Optional. Paste NEXT\_PAGE\_ID from the previous run's Key-value store to resume. ## Actor input object example ```json { "handle": "bsky.app", "mode": "followers", "maxItems": 500 } ``` # Actor output Schema ## `results` (type: `string`): Each row has a 'kind' discriminator: 'user' (followers/follows), 'post' (author feed), or 'profile'. User rows include did, handle, displayName, description, avatar. Post rows include postUri, postUrl, text, createdAt, langs, like/repost/reply/quote counts, isReply, isRepost, embed type, and author fields. Profile rows include followersCount, followsCount, postsCount, banner, createdAt. ## `nextPageId` (type: `string`): NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the list is exhausted. # 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 = { "handle": "bsky.app" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/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 = { "handle": "bsky.app" } # Run the Actor and wait for it to finish run = client.actor("seemuapps/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 '{ "handle": "bsky.app" }' | apify call seemuapps/bluesky-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/bluesky-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky Scraper . Followers, Follows, Posts", "description": "Scrape any public Bluesky profile — followers, follows, posts, or profile metadata. No login.", "version": "1.0", "x-build-id": "rHQgmPxe7AakImhxV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~bluesky-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~bluesky-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~bluesky-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-bluesky-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "handle" ], "properties": { "handle": { "title": "Handle or DID", "type": "string", "description": "Bluesky handle (e.g. 'bsky.app' or 'jay.bsky.team'), profile URL (https://bsky.app/profile/handle), or DID. A bare username like 'alice' is treated as 'alice.bsky.social'." }, "mode": { "title": "Mode", "enum": [ "followers", "follows", "posts", "profile" ], "type": "string", "description": "What to fetch: followers list, follows list, the user's posts, or just the profile metadata.", "default": "followers" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum records to return. Set 0 for unlimited (stops ~60s before actor timeout). Ignored in 'Profile only' mode.", "default": 500 }, "pageId": { "title": "Page ID (pagination)", "type": "string", "description": "Optional. Paste NEXT_PAGE_ID from the previous run's Key-value store to resume." } } }, "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 } } } } } } } } } } ```