# Bluesky Followers Export — Follower & Following Lists (`prometheusagency/bluesky-followers-export`) Actor Export the full follower or following list of any Bluesky account, optionally enriched with profile stats (followers, posts, bio). Clean JSON/CSV for audience research, influencer analysis and lead generation. No login needed. - **URL**: https://apify.com/prometheusagency/bluesky-followers-export.md - **Developed by:** [Prometheus Agency](https://apify.com/prometheusagency) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results 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 ## Bluesky Followers Export — Follower & Following Lists Export the **complete follower or following list** of any Bluesky account (44M+ users) as clean JSON/CSV — optionally enriched with each profile's **follower count, post count and full bio**. Built on the open AT Protocol API: **no login, no cookies, no proxies**. ### What you get | Field | Example | |---|---| | `handle` | `user.bsky.social` | | `displayName` | `Jane Doe` | | `description` (bio) | `Growth marketer. Coffee first.` | | `followersCount`* | `12,480` | | `postsCount`* | `1,032` | | `relation` / `relationTo` | `followers` of `brand.bsky.social` | | `url` | direct profile link | \* with **Enrich profiles** enabled. ### Use cases - **Influencer & audience research** — see who follows your competitors, ranked by reach - **Lead generation** — export niche communities and filter by bio keywords - **Overlap analysis** — export followers of several accounts and find shared audiences - **Growth tracking** — snapshot follower lists over time - **AI agents / enrichment pipelines** — clean, stable schema built for automation ### How to use (30 seconds) 1. Paste one or more handles (e.g. `bsky.app`) 2. Choose **Followers**, **Following** or **Both** 3. (Optional) enable **Enrich with full profile stats** 4. Run — download JSON/CSV/Excel or pull via API Pair it with our [Bluesky Scraper](https://apify.com/prometheusagency/bluesky-scraper) for posts and keyword search, and [Bluesky Brand Monitor](https://apify.com/prometheusagency/bluesky-brand-monitor) for 24/7 new-mention alerts. ### Why this one - **Default input just works** — press Run, get real data - **Charge limit respected** — set a max cost per run and the Actor stops exactly there - **Stable by design** — open AT Protocol API, not an anti-bot arms race # Actor input Schema ## `handles` (type: `array`): Bluesky handles (with or without @) or DIDs whose followers/following you want to export. ## `direction` (type: `string`): Followers of the accounts, accounts they follow, or both. ## `maxItems` (type: `integer`): Maximum number of profiles to export in this run (across all accounts). ## `enrichProfiles` (type: `boolean`): Adds followers/following/posts counts and full bio to every exported profile (slower: one extra API call per 25 profiles). ## `requestDelayMs` (type: `integer`): Politeness delay between API requests. Increase if you hit rate limits. ## Actor input object example ```json { "handles": [ "bsky.app" ], "direction": "followers", "maxItems": 200, "enrichProfiles": false, "requestDelayMs": 200 } ```` # Actor output Schema ## `results` (type: `string`): No description # 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" ], "direction": "followers", "maxItems": 200 }; // Run the Actor and wait for it to finish const run = await client.actor("prometheusagency/bluesky-followers-export").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"], "direction": "followers", "maxItems": 200, } # Run the Actor and wait for it to finish run = client.actor("prometheusagency/bluesky-followers-export").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" ], "direction": "followers", "maxItems": 200 }' | apify call prometheusagency/bluesky-followers-export --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=prometheusagency/bluesky-followers-export", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky Followers Export — Follower & Following Lists", "description": "Export the full follower or following list of any Bluesky account, optionally enriched with profile stats (followers, posts, bio). Clean JSON/CSV for audience research, influencer analysis and lead generation. No login needed.", "version": "0.1", "x-build-id": "qQG0prDj3UZgx5F8d" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/prometheusagency~bluesky-followers-export/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-prometheusagency-bluesky-followers-export", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/prometheusagency~bluesky-followers-export/runs": { "post": { "operationId": "runs-sync-prometheusagency-bluesky-followers-export", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/prometheusagency~bluesky-followers-export/run-sync": { "post": { "operationId": "run-sync-prometheusagency-bluesky-followers-export", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Account handles", "type": "array", "description": "Bluesky handles (with or without @) or DIDs whose followers/following you want to export.", "items": { "type": "string" } }, "direction": { "title": "What to export", "enum": [ "followers", "following", "both" ], "type": "string", "description": "Followers of the accounts, accounts they follow, or both.", "default": "followers" }, "maxItems": { "title": "Max profiles", "minimum": 1, "maximum": 500000, "type": "integer", "description": "Maximum number of profiles to export in this run (across all accounts).", "default": 200 }, "enrichProfiles": { "title": "Enrich with full profile stats", "type": "boolean", "description": "Adds followers/following/posts counts and full bio to every exported profile (slower: one extra API call per 25 profiles).", "default": false }, "requestDelayMs": { "title": "Delay between API calls (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Politeness delay between API requests. Increase if you hit rate limits.", "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 } } } } } } } } } } ```