# Mastodon Scraper (`gio21/mastodon-scraper`) Actor Scrape any Mastodon (or Fediverse-compatible) server's public API: trending statuses and tags, public timeline, hashtag feeds, account statuses. Useful for social listening, Fediverse research, brand monitoring, and decentralized social analytics. - **URL**: https://apify.com/gio21/mastodon-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** E-commerce, Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 record 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 ## Mastodon Scraper Scrape any Mastodon (or Fediverse-compatible) server's **public** API. Five datasets: - **trending-statuses** - top posts trending on the instance - **trending-tags** - hot hashtags - **public-timeline** - recent local posts (paginated) - **hashtag** - posts for a specific tag - **account-statuses** - posts from a specific account Useful for **social listening**, **Fediverse research**, **brand monitoring**, **decentralized social analytics**. Works on **any Mastodon-compatible server**: mastodon.social, fosstodon.org, mas.to, hachyderm.io, etc. ### Free vs. paid - **Free plan:** 15 clearly-labelled mock records. - **Paid plan:** real, live data. ### Input | Field | Type | Description | |-------|------|-------------| | `instance` | String (required) | Mastodon server domain (e.g. `mastodon.social`). | | `dataset` | String (required) | `trending-statuses`, `trending-tags`, `public-timeline`, `hashtag`, `account-statuses`. | | `query` | String | For `hashtag`: tag name. For `account-statuses`: handle (e.g. `tim@chaos.social`). | | `maxItems` | Integer | Default 100, max 1000. | | `debug` | Boolean | Verbose logs. | ### Output For statuses: ```json { "kind": "status", "id": "111234567890", "content": "Just shipped a new Mastodon scraper. So fast.", "author": "gio@mastodon.social", "authorDisplayName": "Gio", "authorFollowers": 1234, "createdAt": "2026-05-26T20:30:00.000Z", "favourites": 42, "reblogs": 8, "replies": 3, "tags": ["apify", "mastodon"], "mentions": [], "mediaCount": 0, "language": "en", "url": "https://mastodon.social/@gio/111234567890", "instance": "mastodon.social" } ```` For tags: ```json { "kind": "tag", "name": "apify", "url": "https://mastodon.social/tags/apify", "recentUses": 245, "recentAccounts": 89, "history": [{ "day": "1716681600", "uses": "245", "accounts": "89" }], "instance": "mastodon.social" } ``` ### Pricing $0.003/record. 1,000 records = $3. ### Limitations - Mastodon servers can rate-limit public API; the actor adds ~400ms between paginated calls. - `account-statuses` requires a valid handle the instance can resolve. Cross-instance handles work via federation. If this actor helped you, please leave a review on the Apify Store. # Actor input Schema ## `instance` (type: `string`): Domain of the Mastodon server (e.g. 'mastodon.social', 'mas.to', 'fosstodon.org'). Any Mastodon-compatible instance works. ## `dataset` (type: `string`): Which dataset to pull: 'trending-statuses' (top posts), 'trending-tags' (hot hashtags), 'public-timeline' (recent local posts), 'hashtag' (posts for a specific tag), 'account-statuses' (posts from a specific account). ## `query` (type: `string`): For dataset=hashtag: the tag name (without #, e.g. 'apify'). For dataset=account-statuses: the account handle (e.g. 'tim@chaos.social'). ## `maxItems` (type: `integer`): Max records to return. ## `debug` (type: `boolean`): Enable verbose logging. ## Actor input object example ```json { "instance": "mastodon.social", "dataset": "trending-statuses", "maxItems": 100, "debug": false } ``` # Actor output Schema ## `results` (type: `string`): Full record per Mastodon entry. Fields depend on dataset. # 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 = { "instance": "mastodon.social", "query": "", "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/mastodon-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 = { "instance": "mastodon.social", "query": "", "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("gio21/mastodon-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 '{ "instance": "mastodon.social", "query": "", "maxItems": 100 }' | apify call gio21/mastodon-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/mastodon-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mastodon Scraper", "description": "Scrape any Mastodon (or Fediverse-compatible) server's public API: trending statuses and tags, public timeline, hashtag feeds, account statuses. Useful for social listening, Fediverse research, brand monitoring, and decentralized social analytics.", "version": "0.0", "x-build-id": "Nmj3vXL7F9V0QRrUg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~mastodon-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-mastodon-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gio21~mastodon-scraper/runs": { "post": { "operationId": "runs-sync-gio21-mastodon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gio21~mastodon-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-mastodon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "instance", "dataset" ], "properties": { "instance": { "title": "Mastodon instance", "type": "string", "description": "Domain of the Mastodon server (e.g. 'mastodon.social', 'mas.to', 'fosstodon.org'). Any Mastodon-compatible instance works." }, "dataset": { "title": "Dataset", "enum": [ "trending-statuses", "trending-tags", "public-timeline", "hashtag", "account-statuses" ], "type": "string", "description": "Which dataset to pull: 'trending-statuses' (top posts), 'trending-tags' (hot hashtags), 'public-timeline' (recent local posts), 'hashtag' (posts for a specific tag), 'account-statuses' (posts from a specific account).", "default": "trending-statuses" }, "query": { "title": "Hashtag or account", "type": "string", "description": "For dataset=hashtag: the tag name (without #, e.g. 'apify'). For dataset=account-statuses: the account handle (e.g. 'tim@chaos.social')." }, "maxItems": { "title": "Max records", "minimum": 10, "maximum": 1000, "type": "integer", "description": "Max records to return.", "default": 100 }, "debug": { "title": "Debug logs", "type": "boolean", "description": "Enable verbose logging.", "default": false } } }, "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 } } } } } } } } } } ```