# Snapchat Profile Scraper (`powerai/snapchat-profile-scraper`) Actor Extract comprehensive public profile data from Snapchat accounts. Get detailed information including subscriber counts, bio, avatar, stories, highlights, and spotlight media. Perfect for social media analysis, influencer research, and market intelligence. 🚀 - **URL**: https://apify.com/powerai/snapchat-profile-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** Social media, Integrations, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.99 / 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 ## Snapchat Profile Scraper Extract comprehensive public profile data from Snapchat accounts. Get detailed information including subscriber counts, bio, avatar, and public media from stories, highlights, and spotlight. ### Key Features - Extract profile info: username, display name, bio, subscribers, avatar - Get media counts for stories, highlights, and spotlight - Download media URLs with thumbnails, type, source, and timestamps - Support batch scraping for multiple usernames - Filter media by source type (story, spotlight, highlight) - Optional proxy configuration ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | usernames | array | Yes | Snapchat usernames to scrape | | maxItems | integer | No | Max media items per profile (default: 100) | | mediaSources | array | No | Filter by story, spotlight, or highlight | | proxyConfiguration | object | No | Proxy settings | #### Input Example ```json { "usernames": ["messi"], "maxItems": 50 } ```` ### Output Each username produces one dataset record with profile info and media array: ```json { "username": "messi", "displayName": "messi", "bio": "...", "subscribers": "157200", "avatar": "https://...", "counts": { "total": 26, "stories": 3, "highlights": 7, "spotlight": 16 }, "media": [ { "url": "https://...", "thumb": "https://...", "type": 1, "mediaType": "video", "source": "story", "timestamp": 1781664497, "createdAt": "2026-06-17T02:48:17.000Z" } ], "scrapedAt": "2026-06-17T03:00:00.000Z" } ``` ### Use Cases - Social media monitoring and analysis - Influencer research and discovery - Content archiving and competitive intelligence - Market research on Snapchat creators # Actor input Schema ## `usernames` (type: `array`): Snapchat usernames to scrape, e.g. messi or fcbarcelona ## `maxItems` (type: `integer`): Maximum number of media items to include per profile ## `mediaSources` (type: `array`): Optional filter for media source types. Leave empty to include all sources. ## `proxyConfiguration` (type: `object`): Proxy settings for the actor ## Actor input object example ```json { "usernames": [ "messi" ], "maxItems": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "usernames": [ "messi" ], "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("powerai/snapchat-profile-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 = { "usernames": ["messi"], "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("powerai/snapchat-profile-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 '{ "usernames": [ "messi" ], "maxItems": 100 }' | apify call powerai/snapchat-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/snapchat-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Snapchat Profile Scraper", "description": "Extract comprehensive public profile data from Snapchat accounts. Get detailed information including subscriber counts, bio, avatar, stories, highlights, and spotlight media. Perfect for social media analysis, influencer research, and market intelligence. 🚀", "version": "0.0", "x-build-id": "38Pcvq5YDK3Lveq93" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~snapchat-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-snapchat-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~snapchat-profile-scraper/runs": { "post": { "operationId": "runs-sync-powerai-snapchat-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~snapchat-profile-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-snapchat-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "usernames" ], "properties": { "usernames": { "title": "Snapchat Usernames", "minItems": 1, "uniqueItems": true, "type": "array", "description": "Snapchat usernames to scrape, e.g. messi or fcbarcelona", "default": [ "messi" ], "items": { "type": "string" } }, "maxItems": { "title": "Maximum Media Items", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of media items to include per profile", "default": 100 }, "mediaSources": { "title": "Media Sources", "uniqueItems": true, "type": "array", "description": "Optional filter for media source types. Leave empty to include all sources.", "items": { "type": "string", "enum": [ "story", "spotlight", "highlight" ], "enumTitles": [ "Stories", "Spotlight", "Highlights" ] } }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the actor", "default": { "useApifyProxy": 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 } } } } } } } } } } ```