# Moa Instagram Followers Scraper (`funny_kettle/moa-instagram-followers-scraper`) Actor Moa Instagram Followers Scraper - **URL**: https://apify.com/funny\_kettle/moa-instagram-followers-scraper.md - **Developed by:** [Friday Meeting](https://apify.com/funny_kettle) (community) - **Categories:** Social media, SEO tools, Agents - **Stats:** 4 total users, 1 monthly users, 88.9% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 follower lists 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 ## Instagram Competitor Follower Scraper Scrape any public Instagram account's follower list to analyze your competitors' audience. Get structured data on every follower — username, profile URL, account privacy, verification status, and inferred gender — ready to export as CSV or JSON. ### Why use this? Your competitors' followers are your potential customers. This Actor lets you: - **Build prospect lists** from competitor accounts in your niche - **Analyze audience demographics** with gender inference and public/private account breakdown - **Identify high-value leads** by optionally pulling each follower's own follower/following counts and engagement ratio - **Export clean data** directly to CSV, JSON, or any downstream tool via Apify integrations ### How it works 1. Enter a competitor's Instagram username or profile URL 2. Set how many followers to scrape 3. The Actor fetches the follower list using a fast, low-cost scraper (no login or cookies required) 4. Optionally enable **follower/following counts & ratio** for deeper audience analysis (uses more credits) 5. Results are pushed to an Apify dataset — download as CSV/JSON or connect to Google Sheets, Zapier, etc. ### Output fields | Field | Description | |-------|-------------| | `username` | Follower's Instagram handle | | `profile_url` | Direct link to their profile | | `full_name` | Display name | | `profile_pic_url` | URL to follower's Instagram profile picture | | `is_private` | Public or Private account | | `is_verified` | Verified badge status | | `gender` | Inferred from first name (male/female/unknown) | | `follower_count` | *(optional)* Their follower count | | `following_count` | *(optional)* Their following count | | `ratio` | *(optional)* Followers / following (1 decimal) | The last three fields only appear when **Include Follower/Following Counts & Ratio** is enabled. ### Cost optimization - **Default mode** (counts off): Fast and cheap — only calls one sub-actor to pull the follower list - **With counts enabled**: Runs a second profile scraper on each follower in batches of 50. More thorough but slower and uses more Apify platform credits. Only enable this when you need the extra data. ### Input example ```json { "username": "natgeo", "max_followers": 200, "include_counts": false } ```` ### Integrations Connect this Actor's output to your existing workflow: - **Google Sheets** — auto-sync results for team analysis - **Zapier / Make** — trigger outreach sequences from new scrape results - **Webhooks** — push data to your CRM or internal tools # Actor input Schema ## `username` (type: `string`): Instagram username (e.g. 'natgeo') or profile URL (e.g. 'https://www.instagram.com/natgeo/'). ## `max_followers` (type: `integer`): Maximum number of followers to scrape. Minimum 50. ## `include_counts` (type: `boolean`): When enabled, runs an extra profile scrape for each follower to get their follower count, following count, and ratio (followers/following). This is slower and uses more API credits. ## Actor input object example ```json { "username": "natgeo", "max_followers": 200, "include_counts": 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 = { "username": "natgeo", "max_followers": 200 }; // Run the Actor and wait for it to finish const run = await client.actor("funny_kettle/moa-instagram-followers-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 = { "username": "natgeo", "max_followers": 200, } # Run the Actor and wait for it to finish run = client.actor("funny_kettle/moa-instagram-followers-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 '{ "username": "natgeo", "max_followers": 200 }' | apify call funny_kettle/moa-instagram-followers-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=funny_kettle/moa-instagram-followers-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Moa Instagram Followers Scraper", "description": "Moa Instagram Followers Scraper", "version": "0.0", "x-build-id": "VUqd4b7Ro3Y33dyDL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/funny_kettle~moa-instagram-followers-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-funny_kettle-moa-instagram-followers-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/funny_kettle~moa-instagram-followers-scraper/runs": { "post": { "operationId": "runs-sync-funny_kettle-moa-instagram-followers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/funny_kettle~moa-instagram-followers-scraper/run-sync": { "post": { "operationId": "run-sync-funny_kettle-moa-instagram-followers-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "username" ], "properties": { "username": { "title": "Instagram Username or URL", "type": "string", "description": "Instagram username (e.g. 'natgeo') or profile URL (e.g. 'https://www.instagram.com/natgeo/')." }, "max_followers": { "title": "Max Followers", "minimum": 50, "type": "integer", "description": "Maximum number of followers to scrape. Minimum 50.", "default": 200 }, "include_counts": { "title": "Include Follower/Following Counts & Ratio", "type": "boolean", "description": "When enabled, runs an extra profile scrape for each follower to get their follower count, following count, and ratio (followers/following). This is slower and uses more API credits.", "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 } } } } } } } } } } ```