# Instagram Story & Mentions Fetcher (`barefoot_year/instagram-story-mentions-fetcher`) Actor Fetches active Instagram stories and @mention stickers for one or more usernames. Returns story media URLs, metadata, and mention details. - **URL**: https://apify.com/barefoot\_year/instagram-story-mentions-fetcher.md - **Developed by:** [Ghost Rider](https://apify.com/barefoot_year) (community) - **Categories:** Social media - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 ## Instagram Story & Mentions Fetcher Apify actor that fetches active Instagram stories and @mention stickers for one or more usernames. ### Features - Fetch active stories for multiple Instagram usernames in one run - Extract `@mention` stickers with username, user ID, full name, and profile picture - Return image/video URLs in multiple resolutions - Handle accounts with no active stories gracefully ### Input | Field | Required | Description | |-------|----------|-------------| | `usernames` | Yes | Array of Instagram usernames (without `@`) | | `sessionId` | Yes | Instagram `sessionid` cookie | | `csrfToken` | Yes | Instagram `csrftoken` cookie | | `proxyConfiguration` | No | Defaults to Apify **residential proxy, India (IN)** | | `requestDelayMs` | No | Delay between accounts in ms (default: 1500) | #### How to get Instagram cookies 1. Log in to [instagram.com](https://www.instagram.com) in Chrome 2. Press `F12` → **Application** tab → **Cookies** → `https://www.instagram.com` 3. Copy `sessionid` and `csrftoken` values 4. Use a test account — not your main personal account #### Default cookies on Apify After `apify push`, open the actor in Apify Console → **Input** tab → paste your `sessionId` and `csrfToken` → click **Save & Start** once. Apify remembers them as the default input for future runs. For local runs, copy `INPUT.json.example` to `INPUT.json` and fill in your cookies there (`INPUT.json` is gitignored). ### Schemas | File | Purpose | |------|---------| | `.actor/input_schema.json` | Apify input form with sample usernames, cookies, and India residential proxy | | `.actor/output_schema.json` | Links run output to the dataset in Apify Console | | `.actor/dataset_schema.json` | Documents every output field with examples | ### Output Each dataset item is either a full story record or a minimal "no stories" record. #### Story with mentions ```json { "storyId": "3912892102384725364", "userId": "3054343568", "username": "arya_jain_", "mediaType": "video", "imageUrl": "https://...", "videoUrl": "https://...", "storyBloksStickersCount": 1, "storyBloksStickers": [ { "stickerType": "mention", "mentionUsername": "magnetomall", "mentionAccountId": "6282740940", "mentionFullName": "Magneto Mall", "mentionProfilePicUrl": "https://..." } ] } ```` #### No active stories ```json { "username": "explorewithsparsh", "mediaType": "none", "storiesCount": 0, "takenAtFormatted": "No active stories", "success": true } ``` ### Local development ```bash npm install ``` Create `INPUT.json` in the project root: ```json { "usernames": ["natgeo"], "sessionId": "YOUR_SESSION_ID", "csrfToken": "YOUR_CSRF_TOKEN" } ``` Run locally with Apify CLI: ```bash apify run ``` ### Deploy to Apify ```bash apify push ``` ### Limitations - Requires valid Instagram session cookies (expire every few weeks) - Private accounts only work if the logged-in user follows them - Instagram may rate-limit or block requests — use Apify proxy - Scraping Instagram is against their Terms of Service — use at your own risk # Actor input Schema ## `usernames` (type: `array`): List of Instagram usernames to fetch stories from (without @). ## `sessionId` (type: `string`): Instagram sessionid cookie from browser DevTools → Application → Cookies → instagram.com. ## `csrfToken` (type: `string`): Instagram csrftoken cookie from the same browser login session as sessionid. ## `mid` (type: `string`): Optional but recommended. Copy mid cookie from instagram.com in DevTools. Helps avoid redirect errors. ## `igDid` (type: `string`): Optional but recommended. Copy ig\_did cookie from instagram.com in DevTools. ## `proxyConfiguration` (type: `object`): Apify residential proxy (India) enabled by default to reduce Instagram rate limits. ## `requestDelayMs` (type: `integer`): Wait time between processing each username to avoid rate limits. ## Actor input object example ```json { "usernames": [ "wassup.raipur", "explorewithsparsh", "arya_jain_", "raipur.inn_", "cafe_foodies07", "raipurwale__", "raipurfoodstuff", "anand.unfiltered" ], "sessionId": "34904493140%3AVpGAz1lgPn7ZGH%3A5%3AAYiPOXUuWqhcmzgpI569HWRBsvPYmFth6mGROYyTQ6s", "csrfToken": "tlRQZfaXuW3OcAoIzYANpcX1HQSsCcXa", "mid": "aQBxBQALAAF7qwnWgeTTxrB01TVe", "igDid": "18E1D099-5B68-4C25-9562-48E64897B4A2", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" }, "requestDelayMs": 1500 } ``` # Actor output Schema ## `stories` (type: `string`): All scraped stories and no-story placeholders for each username. # 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": [ "wassup.raipur", "explorewithsparsh", "arya_jain_", "raipur.inn_", "cafe_foodies07", "raipurwale__", "raipurfoodstuff", "anand.unfiltered" ], "sessionId": "34904493140%3AVpGAz1lgPn7ZGH%3A5%3AAYiPOXUuWqhcmzgpI569HWRBsvPYmFth6mGROYyTQ6s", "csrfToken": "tlRQZfaXuW3OcAoIzYANpcX1HQSsCcXa", "mid": "aQBxBQALAAF7qwnWgeTTxrB01TVe", "igDid": "18E1D099-5B68-4C25-9562-48E64897B4A2", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }; // Run the Actor and wait for it to finish const run = await client.actor("barefoot_year/instagram-story-mentions-fetcher").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": [ "wassup.raipur", "explorewithsparsh", "arya_jain_", "raipur.inn_", "cafe_foodies07", "raipurwale__", "raipurfoodstuff", "anand.unfiltered", ], "sessionId": "34904493140%3AVpGAz1lgPn7ZGH%3A5%3AAYiPOXUuWqhcmzgpI569HWRBsvPYmFth6mGROYyTQ6s", "csrfToken": "tlRQZfaXuW3OcAoIzYANpcX1HQSsCcXa", "mid": "aQBxBQALAAF7qwnWgeTTxrB01TVe", "igDid": "18E1D099-5B68-4C25-9562-48E64897B4A2", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IN", }, } # Run the Actor and wait for it to finish run = client.actor("barefoot_year/instagram-story-mentions-fetcher").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": [ "wassup.raipur", "explorewithsparsh", "arya_jain_", "raipur.inn_", "cafe_foodies07", "raipurwale__", "raipurfoodstuff", "anand.unfiltered" ], "sessionId": "34904493140%3AVpGAz1lgPn7ZGH%3A5%3AAYiPOXUuWqhcmzgpI569HWRBsvPYmFth6mGROYyTQ6s", "csrfToken": "tlRQZfaXuW3OcAoIzYANpcX1HQSsCcXa", "mid": "aQBxBQALAAF7qwnWgeTTxrB01TVe", "igDid": "18E1D099-5B68-4C25-9562-48E64897B4A2", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IN" } }' | apify call barefoot_year/instagram-story-mentions-fetcher --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=barefoot_year/instagram-story-mentions-fetcher", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Story & Mentions Fetcher", "description": "Fetches active Instagram stories and @mention stickers for one or more usernames. Returns story media URLs, metadata, and mention details.", "version": "1.0", "x-build-id": "xiWsEgHw2McmWgLBC" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/barefoot_year~instagram-story-mentions-fetcher/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-barefoot_year-instagram-story-mentions-fetcher", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/barefoot_year~instagram-story-mentions-fetcher/runs": { "post": { "operationId": "runs-sync-barefoot_year-instagram-story-mentions-fetcher", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/barefoot_year~instagram-story-mentions-fetcher/run-sync": { "post": { "operationId": "run-sync-barefoot_year-instagram-story-mentions-fetcher", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "sessionId", "csrfToken" ], "properties": { "usernames": { "title": "Instagram usernames", "minItems": 1, "type": "array", "description": "List of Instagram usernames to fetch stories from (without @).", "items": { "type": "string" } }, "sessionId": { "title": "Instagram sessionid cookie", "type": "string", "description": "Instagram sessionid cookie from browser DevTools → Application → Cookies → instagram.com." }, "csrfToken": { "title": "Instagram csrftoken cookie", "type": "string", "description": "Instagram csrftoken cookie from the same browser login session as sessionid." }, "mid": { "title": "Instagram mid cookie (optional)", "type": "string", "description": "Optional but recommended. Copy mid cookie from instagram.com in DevTools. Helps avoid redirect errors." }, "igDid": { "title": "Instagram ig_did cookie (optional)", "type": "string", "description": "Optional but recommended. Copy ig_did cookie from instagram.com in DevTools." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify residential proxy (India) enabled by default to reduce Instagram rate limits." }, "requestDelayMs": { "title": "Delay between accounts (ms)", "minimum": 0, "maximum": 30000, "type": "integer", "description": "Wait time between processing each username to avoid rate limits.", "default": 1500 } } }, "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 } } } } } } } } } } ```