# Bluesky Search Scraper (`indomitably_doctor/bluesky-search-scraper`) Actor Search Bluesky posts and users, or pull full author feeds, via the AT Protocol API. Clean JSON with engagement counts, embeds and profile data — built for social listening. - **URL**: https://apify.com/indomitably\_doctor/bluesky-search-scraper.md - **Developed by:** [Billy DC](https://apify.com/indomitably_doctor) (community) - **Categories:** Automation, Social media - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 receive results 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/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 Search Scraper Search [Bluesky](https://bsky.app) posts, find user profiles, or export any account's feed as clean structured data. Built on Bluesky's public AppView API — no login, no app password, no proxies. ### Who is this for? - **Brand & social listening**: track mentions of your product, competitors or campaign hashtags - **Journalists & researchers**: collect public conversation around breaking news or topics over time - **Marketers**: find relevant creators and measure engagement (likes, reposts, replies, quotes) - **Data teams**: feed dashboards and sentiment pipelines with fresh Bluesky data ### Modes | Mode | What it does | Required input | |---|---|---| | `searchPosts` | Full-text post search, sorted by `latest` or `top` | `query` | | `searchUsers` | Profile search by name/handle/bio | `query` | | `authorFeed` | Export one account's posts and reposts | `authorHandle` | `query` supports Bluesky's search operators: `"exact phrase"`, `from:handle.bsky.social`, `#hashtag`, etc. ### Input example ```json { "mode": "searchPosts", "query": "climate change", "sort": "latest", "sinceDate": "2026-07-01", "untilDate": "2026-07-20", "maxItems": 500 } ```` ### Output Post item (modes `searchPosts` and `authorFeed`): ```json { "uri": "at://did:plc:6kos45lixtga3pdwuncvh32x/app.bsky.feed.post/3mqc36slinc2m", "url": "https://bsky.app/profile/paretooptimizer.bsky.social/post/3mqc36slinc2m", "authorHandle": "paretooptimizer.bsky.social", "authorDisplayName": "Pareto Optimizer", "authorDid": "did:plc:6kos45lixtga3pdwuncvh32x", "text": "I know this guy has a Bluesky account.", "createdAt": "2026-07-10T11:46:11.858Z", "likeCount": 6565, "repostCount": 544, "replyCount": 152, "quoteCount": 14, "langs": ["en"], "embeds": [{ "type": "quote", "url": "https://bsky.app/profile/dexerto.bsky.social/post/3mqbs2zzdi22y" }], "timestamp": "2026-07-24T12:00:00.000Z" } ``` User item (mode `searchUsers`): ```json { "did": "did:plc:wmho6q2uiyktkam3jsvrms3s", "handle": "nbcnews.com", "url": "https://bsky.app/profile/nbcnews.com", "displayName": "NBC News", "description": "News updates from around the world, all day, every day.", "followersCount": null, "createdAt": "2023-05-31T01:09:28.017Z", "verifiedStatus": "valid", "timestamp": "2026-07-24T12:00:00.000Z" } ``` `embeds` summarizes attachments: `external` (link cards, with URL/title), `image` (full-size CDN URL + alt text), `video`, and `quote` (link to the quoted post). ### Pricing The actor charges per item returned (`result-item` event). A run that finds 300 posts costs 300 events — you pay only for delivered data. ### Honest limitations - Only **public** posts and profiles indexed by Bluesky's AppView are returned; blocked/private data is not accessible. - `searchUsers` results come from the profile search endpoint, which does **not** include follower counts (`followersCount` is `null` there). `authorFeed` and post authors do not include follower counts either. - `sinceDate`/`untilDate` are applied server-side for post search; for `authorFeed` they are applied client-side while paginating (the API has no date filter there). - Bluesky search relevance and `hitsTotal` are approximate; deep pagination of huge result sets may be truncated by the API. - `authorFeed` includes reposts, marked with `"isRepost": true` — filter them out downstream if you only want original posts. - The public AppView applies IP-based rate limits. The actor throttles itself (sequential requests with delays) and backs off on HTTP 429, but very large `maxItems` runs will be slow by design. ### Usage tips - Track a hashtag daily: schedule `{ "mode": "searchPosts", "query": "#buildinpublic", "sort": "latest" }` - Find influencers in a niche: `{ "mode": "searchUsers", "query": "machine learning" }` - Archive an account: `{ "mode": "authorFeed", "authorHandle": "bsky.app", "maxItems": 5000 }` # Actor input Schema ## `mode` (type: `string`): What to fetch: search posts by keyword, search user profiles, or export one author's feed. ## `query` (type: `string`): Keyword(s) to search for. Used by Search posts and Search users modes (defaults to 'news' if omitted). Supports Bluesky search operators like from:handle, quoted phrases, and #hashtags. ## `authorHandle` (type: `string`): Handle whose feed to export in 'Author feed' mode, e.g. 'bsky.app' or '@nytimes.com'. ## `sort` (type: `string`): Ranking for post search results. ## `sinceDate` (type: `string`): Only posts created at or after this time. ISO datetime or YYYY-MM-DD. Applies to 'Search posts' mode (server-side) and 'Author feed' mode (client-side). ## `untilDate` (type: `string`): Only posts created before this time. ISO datetime or YYYY-MM-DD. Applies to 'Search posts' mode (server-side) and 'Author feed' mode (client-side). ## `maxItems` (type: `integer`): Maximum number of items to return (1-10000). ## `proxy` (type: `object`): Optional. Search modes (searchPosts) run from datacenter IPs get blocked by Bluesky; the actor auto-escalates to Apify residential proxy on 403. Set this to force a specific proxy from the start. ## Actor input object example ```json { "mode": "searchPosts", "query": "climate change", "authorHandle": "bsky.app", "sort": "latest", "sinceDate": "2026-07-01", "untilDate": "2026-07-20", "maxItems": 100 } ``` # 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 = { "mode": "searchPosts", "query": "news" }; // Run the Actor and wait for it to finish const run = await client.actor("indomitably_doctor/bluesky-search-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 = { "mode": "searchPosts", "query": "news", } # Run the Actor and wait for it to finish run = client.actor("indomitably_doctor/bluesky-search-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 '{ "mode": "searchPosts", "query": "news" }' | apify call indomitably_doctor/bluesky-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=indomitably_doctor/bluesky-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bluesky Search Scraper", "description": "Search Bluesky posts and users, or pull full author feeds, via the AT Protocol API. Clean JSON with engagement counts, embeds and profile data — built for social listening.", "version": "0.1", "x-build-id": "1R9JNTwAt1SzCfW4S" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/indomitably_doctor~bluesky-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-indomitably_doctor-bluesky-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/indomitably_doctor~bluesky-search-scraper/runs": { "post": { "operationId": "runs-sync-indomitably_doctor-bluesky-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/indomitably_doctor~bluesky-search-scraper/run-sync": { "post": { "operationId": "run-sync-indomitably_doctor-bluesky-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "searchPosts", "searchUsers", "authorFeed" ], "type": "string", "description": "What to fetch: search posts by keyword, search user profiles, or export one author's feed.", "default": "authorFeed" }, "query": { "title": "Search query", "type": "string", "description": "Keyword(s) to search for. Used by Search posts and Search users modes (defaults to 'news' if omitted). Supports Bluesky search operators like from:handle, quoted phrases, and #hashtags.", "default": "news" }, "authorHandle": { "title": "Author handle", "type": "string", "description": "Handle whose feed to export in 'Author feed' mode, e.g. 'bsky.app' or '@nytimes.com'.", "default": "bsky.app" }, "sort": { "title": "Sort order (posts search)", "enum": [ "latest", "top" ], "type": "string", "description": "Ranking for post search results.", "default": "latest" }, "sinceDate": { "title": "Since date", "type": "string", "description": "Only posts created at or after this time. ISO datetime or YYYY-MM-DD. Applies to 'Search posts' mode (server-side) and 'Author feed' mode (client-side)." }, "untilDate": { "title": "Until date", "type": "string", "description": "Only posts created before this time. ISO datetime or YYYY-MM-DD. Applies to 'Search posts' mode (server-side) and 'Author feed' mode (client-side)." }, "maxItems": { "title": "Maximum results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of items to return (1-10000).", "default": 100 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Optional. Search modes (searchPosts) run from datacenter IPs get blocked by Bluesky; the actor auto-escalates to Apify residential proxy on 403. Set this to force a specific proxy from the start." } } }, "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 } } } } } } } } } } ```