# Strava Activities Scraper (`victoria.usan/strava-activities-scraper`) Actor Fetches all your Strava activities via the Strava API using OAuth credentials and computes per-sport statistics. - **URL**: https://apify.com/victoria.usan/strava-activities-scraper.md - **Developed by:** [Victoria Usan](https://apify.com/victoria.usan) (community) - **Categories:** Automation, Social media - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 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.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 ## Strava Activities Scraper **Fetches all your Strava activities** via the official Strava API using OAuth credentials, pushes them to a structured dataset, and computes aggregated per-sport statistics. Run it on the Apify platform for scheduled exports, API access, and integrations with 100+ tools. ### What does Strava Activities Scraper do? This Actor connects to the [Strava API](https://developers.strava.com/) using your OAuth2 credentials, downloads your complete activity history (runs, rides, swims, hikes, etc.), and outputs clean, structured data. It also computes per-sport statistics including total distance, time, elevation, and averages. Unlike browser-based scrapers, this Actor uses the official Strava REST API — making it fast, reliable, and respectful of Strava's infrastructure. ### Why use Strava Activities Scraper? - **Full activity export** — fetch your entire Strava history in one run - **Structured data** — clean JSON output ready for analysis, dashboards, or integrations - **Per-sport statistics** — automatic aggregation by activity type - **Scheduled runs** — set up daily/weekly exports on Apify to track progress over time - **API access** — query your latest results via the Apify API from any app - **Multiple formats** — download as JSON, CSV, Excel, or HTML ### How to use Strava Activities Scraper 1. **Create a Strava API application** at [strava.com/settings/api](https://www.strava.com/settings/api). Note your Client ID and Client Secret. 2. **Obtain a refresh token** — run the included helper script locally: ```bash npx tsx src/get-token.ts ```` This opens your browser for OAuth authorization and prints the credentials you need. 3\. **Configure the Actor** in the Input tab with your Client ID, Client Secret, and Refresh Token. 4\. **Run the Actor** — it will fetch all activities and push them to the dataset. 5\. **Download results** from the Output tab in JSON, CSV, or Excel format. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `clientId` | string | Yes | Your Strava API application client ID | | `clientSecret` | string | Yes | Your Strava API application client secret | | `refreshToken` | string | Yes | OAuth2 refresh token with `activity:read_all` scope | | `maxActivities` | integer | No | Max activities to fetch (0 = all, default: 0) | ### Output Each activity is stored as a dataset item: ```json { "id": 12345678901, "name": "Morning Run", "type": "Run", "date": "2026-06-12T07:30:00Z", "distanceKm": 8.42, "movingTimeMin": 42.5, "elevationGainM": 125, "avgSpeedKph": 11.9, "avgHeartrate": 152 } ``` You can download the dataset in various formats such as JSON, HTML, CSV, or Excel. Additionally, aggregated statistics are saved to the key-value store under the `statistics` key: ```json { "totalActivities": 342, "byType": { "Run": { "count": 180, "totalDistanceKm": 1520.4, "totalMovingTimeHours": 142.3, "totalElevationGainM": 18500, "avgDistanceKm": 8.45, "avgMovingTimeMin": 47.4, "avgElevationGainM": 103 } } } ``` ### Data fields | Field | Format | Description | |-------|--------|-------------| | `id` | number | Strava activity ID | | `name` | text | Activity title | | `type` | text | Sport type (Run, Ride, Swim, Hike, etc.) | | `date` | date | Activity start time (local timezone) | | `distanceKm` | number | Distance in kilometers | | `movingTimeMin` | number | Moving time in minutes | | `elevationGainM` | number | Total elevation gain in meters | | `avgSpeedKph` | number | Average speed in km/h | | `avgHeartrate` | number | Average heart rate (if sensor used) | ### Cost estimation This Actor uses only HTTP API calls (no browser), so it's very lightweight: - **~1 compute unit** per run fetching up to 1,000 activities - **~0.005 USD** for a typical run of a few hundred activities - Runs complete in seconds, not minutes The Apify Free plan includes enough compute units for regular scheduled runs. ### Tips - Set `maxActivities` to a small number (e.g., 10) for your first test run - Schedule weekly runs to keep an up-to-date export of your training data - Use the Apify API to integrate your activity data into custom dashboards or spreadsheets - The refresh token doesn't expire as long as it's used periodically — scheduled runs keep it alive ### FAQ and support **Is this legal?** Yes — this Actor uses Strava's official public API with your own OAuth credentials. It only accesses data you've explicitly authorized. **What scopes are needed?** The refresh token needs the `activity:read_all` scope to access all your activities including private ones. Use `read` scope if you only want public activities. **My token stopped working** If you haven't used the refresh token in 6+ months, it may have been revoked. Run the `get-token.ts` helper again to generate a new one. **Found a bug?** Open an issue in the Issues tab or contact the author for custom solutions. # Actor input Schema ## `clientId` (type: `string`): Your Strava API application client ID. Get it at https://www.strava.com/settings/api ## `clientSecret` (type: `string`): Your Strava API application client secret. ## `refreshToken` (type: `string`): OAuth2 refresh token with activity:read\_all scope. Run 'npx tsx src/get-token.ts' locally to obtain one. ## `maxActivities` (type: `integer`): Maximum number of activities to fetch. Set to 0 (default) to fetch all. ## Actor input object example ```json { "maxActivities": 0 } ``` # Actor output Schema ## `dataset` (type: `string`): No description ## `statistics` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("victoria.usan/strava-activities-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 = {} # Run the Actor and wait for it to finish run = client.actor("victoria.usan/strava-activities-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 '{}' | apify call victoria.usan/strava-activities-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=victoria.usan/strava-activities-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Strava Activities Scraper", "description": "Fetches all your Strava activities via the Strava API using OAuth credentials and computes per-sport statistics.", "version": "0.0", "x-build-id": "mgJrNFcQZ2HgGtia7" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/victoria.usan~strava-activities-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-victoria.usan-strava-activities-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/victoria.usan~strava-activities-scraper/runs": { "post": { "operationId": "runs-sync-victoria.usan-strava-activities-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/victoria.usan~strava-activities-scraper/run-sync": { "post": { "operationId": "run-sync-victoria.usan-strava-activities-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "clientId", "clientSecret", "refreshToken" ], "properties": { "clientId": { "title": "Strava client ID", "type": "string", "description": "Your Strava API application client ID. Get it at https://www.strava.com/settings/api" }, "clientSecret": { "title": "Strava client secret", "type": "string", "description": "Your Strava API application client secret." }, "refreshToken": { "title": "Refresh token", "type": "string", "description": "OAuth2 refresh token with activity:read_all scope. Run 'npx tsx src/get-token.ts' locally to obtain one." }, "maxActivities": { "title": "Max activities", "minimum": 0, "type": "integer", "description": "Maximum number of activities to fetch. Set to 0 (default) to fetch all.", "default": 0 } } }, "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 } } } } } } } } } } ```