# Instagram Creator Lead Extractor (`avinashchby/instagram-creator-leads`) Actor Scrape public Instagram profiles to find creator leads with business emails, follower stats, engagement metrics, and business category. Perfect for influencer marketing agencies and e-commerce brands. - **URL**: https://apify.com/avinashchby/instagram-creator-leads.md - **Developed by:** [Avinash](https://apify.com/avinashchby) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Creator Lead Extractor Scrape public Instagram profiles to find creator leads with business emails, follower stats, engagement metrics, and business category. Perfect for influencer marketing agencies and e-commerce brands building outreach lists. ### What it does 1. **Scrapes public Instagram profiles** — loads profile pages via Playwright with anti-bot stealth 2. **Extracts follower metrics** — followers, following, post count with K/M/B parsing 3. **Finds contact details** — emails and phones from bio text and external website links 4. **Detects business accounts** — identifies business/creator accounts and category labels 5. **Scores creator quality** — 0-100 score based on followers, verification, business status, and contact availability 6. **Filters by criteria** — minimum followers, business category keywords ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `profileUrls` | array | `[nike, adidas]` | Instagram profile URLs to scrape | | `maxResults` | integer | `10` | Maximum profiles to process (1-500) | | `minFollowers` | integer | `1000` | Skip profiles below this follower count | | `categories` | array | `[]` | Filter by business category keywords | | `includeEmail` | boolean | `true` | Extract emails from bio and links | | `outputFormat` | string | `json` | `json`, `csv`, `hubspot`, `apollo`, `salesforce` | ### Output Example ```json { "username": "nike", "fullName": "Nike", "bio": "Just Do It. \u270c\ufe0f\ufe0f", "followers": 305000000, "following": 148, "postsCount": 894, "isVerified": true, "isBusiness": true, "businessCategory": "Retail Company", "website": "https://www.nike.com", "emails": ["press@nike.com"], "phones": [], "creatorScore": 100, "profileUrl": "https://www.instagram.com/nike/", "profileImage": "https://...", "scrapedAt": "2026-05-19T08:00:00.000Z" } ```` ### Creator Score Formula | Factor | Points | |--------|--------| | Followers 1M+ | 35 | | Followers 100K+ | 25 | | Followers 10K+ | 15 | | Followers 1K+ | 8 | | Verified badge | 20 | | Business account | 15 | | Has email | 15 | | Has website | 10 | | Business category | 5 | ### Limits - **Public profiles only** — private accounts show limited data - **Anti-bot protection** — Instagram may block aggressive scraping; delays and stealth args are used - **No login required** — only scrapes publicly visible profile data - **Rate limits** — recommend max 50 profiles per run to avoid blocks ### Pricing - **Free tier**: 10 profiles per run - **Pay-per-result**: $0.005 per profile processed - **Subscription**: $59/month for unlimited runs ### Support Found a bug or need a custom feature? Open an issue or email support. # Actor input Schema ## `profileUrls` (type: `array`): List of Instagram profile URLs to scrape (e.g., https://www.instagram.com/nike/) ## `maxResults` (type: `integer`): Maximum number of profiles to process ## `minFollowers` (type: `integer`): Skip profiles with fewer followers than this threshold ## `categories` (type: `array`): Filter by business category keywords (e.g., 'Fashion', 'Beauty', 'Fitness') ## `includeEmail` (type: `boolean`): Extract emails from bio text and external links ## `outputFormat` (type: `string`): Export format for lead data ## Actor input object example ```json { "profileUrls": [ "https://www.instagram.com/nike/", "https://www.instagram.com/adidas/" ], "maxResults": 10, "minFollowers": 1000, "categories": [], "includeEmail": true, "outputFormat": "json" } ``` # Actor output Schema ## `results` (type: `string`): All extracted leads. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "profileUrls": [ "https://www.instagram.com/nike/", "https://www.instagram.com/adidas/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("avinashchby/instagram-creator-leads").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "profileUrls": [ "https://www.instagram.com/nike/", "https://www.instagram.com/adidas/", ] } # Run the Actor and wait for it to finish run = client.actor("avinashchby/instagram-creator-leads").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 '{ "profileUrls": [ "https://www.instagram.com/nike/", "https://www.instagram.com/adidas/" ] }' | apify call avinashchby/instagram-creator-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=avinashchby/instagram-creator-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Creator Lead Extractor", "description": "Scrape public Instagram profiles to find creator leads with business emails, follower stats, engagement metrics, and business category. Perfect for influencer marketing agencies and e-commerce brands.", "version": "1.0", "x-build-id": "zxmRw2MBu9Mk9LyhN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/avinashchby~instagram-creator-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-avinashchby-instagram-creator-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/avinashchby~instagram-creator-leads/runs": { "post": { "operationId": "runs-sync-avinashchby-instagram-creator-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/avinashchby~instagram-creator-leads/run-sync": { "post": { "operationId": "run-sync-avinashchby-instagram-creator-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "profileUrls": { "title": "Instagram Profile URLs", "type": "array", "description": "List of Instagram profile URLs to scrape (e.g., https://www.instagram.com/nike/)", "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of profiles to process", "default": 10 }, "minFollowers": { "title": "Minimum Followers", "minimum": 0, "type": "integer", "description": "Skip profiles with fewer followers than this threshold", "default": 1000 }, "categories": { "title": "Business Categories", "type": "array", "description": "Filter by business category keywords (e.g., 'Fashion', 'Beauty', 'Fitness')", "default": [], "items": { "type": "string" } }, "includeEmail": { "title": "Include Email Extraction", "type": "boolean", "description": "Extract emails from bio text and external links", "default": true }, "outputFormat": { "title": "CRM Export Format", "enum": [ "json", "csv", "hubspot", "apollo", "salesforce" ], "type": "string", "description": "Export format for lead data", "default": "json" } } }, "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 } } } } } } } } } } ```