# Instagram Influencer Engagement Scraper (`phantom_coder/instagram-engagement-scraper`) Actor Extract engagement metrics from public Instagram profiles. Get feed engagement rate, Reels views, and follower stats. Covers up to 72 posts and 36 Reels. No login needed. From $0.02 per result. - **URL**: https://apify.com/phantom\_coder/instagram-engagement-scraper.md - **Developed by:** [Phantom Coder](https://apify.com/phantom_coder) (community) - **Categories:** Social media, Automation, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $20.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 influencer engagement scraper Know which influencers are actually driving engagement - not just accumulating followers - before you commit budget to a campaign. ### Who is this for - **Marketing agencies** vetting a shortlist of creators before pitching a campaign to a client - **Brand managers** benchmarking competitor brands and their partner influencers to understand real engagement levels - **Growth teams** tracking creator performance week-over-week to catch engagement trend shifts early No Instagram account, API key, or login required. The Actor works on any public profile out of the box. ### What you get - **Feed engagement rate** - average likes + comments per post as a percentage of followers - **Reels metrics** - average views, average engagement, and engagement rate by views - **Cross-format comparison** - how Reels perform relative to feed posts (`engagement_skew_reels_over_feed`) - **Normalized benchmarks** - interactions per 1K followers for fair comparisons across account sizes - **Profile metadata** - follower count, following count, verified status, post count, and bio link - **Coverage stats** - how many posts and Reels were analyzed per profile ### Common use cases **Influencer vetting** You're comparing 10 creators for a product launch. A 200K account might outperform a 2M account where it counts. Sort by `interactions_per_1k_followers` to instantly see who punches above their follower count - that's the creator whose audience is actually paying attention. **Reels vs. feed analysis** Use `engagement_skew_reels_over_feed` to identify creators whose Reels significantly outperform their feed posts. A value of 3.0 means their Reels get 3x the engagement of their feed - a strong signal of where to place sponsored content for maximum reach. **Competitor benchmarking** Run the Actor on a competitor brand's profile and their known partner influencers. You'll quickly see what engagement benchmarks they're working with and whether those partnerships are actually performing. **Periodic tracking** Run the same list of usernames weekly to track engagement trends over time. Use the Apify scheduler with a cron expression like `0 9 * * 1` (every Monday at 9am) to get a fresh snapshot automatically. A drop in `feed_avg_engagement_rate_by_followers` over 4 weeks is an early signal worth investigating. ### How to use
  1. Click Try for free on the Actor page.
  2. Enter one or more public Instagram usernames (without the @ prefix).
  3. Click Start and wait - each username takes around 20-30 seconds.
  4. Download results as JSON or CSV, or connect to Google Sheets, Make, or Zapier via Apify integrations.
> ⚠️ **Getting `reels_avg_views: 0` or `reels_count: 0` is completely normal.** It means the account has no public Reels, or Instagram returned no view data for them. All `clips_*` metrics will be `0` in this case - the Actor is working correctly. > > **How to tell if a result is valid:** > - ✅ If `feed_count` is greater than 0, the profile was successfully analyzed > - ⚠️ If you see `"error": "private_or_not_found"`, the account is private, deleted, or the username is misspelled > - ⚠️ If you see `"error": "soft_blocked"`, the proxy IP was temporarily rate-limited by Instagram - rerun the username --- ### Input configuration | Field | Type | Default | Description | |---|---|---|---| | `usernames` | array of strings | - | Public Instagram handles to analyze (without @ prefix). At least one required. | | `maxFeedPosts` | integer | `72` | Maximum feed posts to fetch per username (1-72). | | `maxReels` | integer | `36` | Maximum Reels to fetch per username (1-36). | **Example input:** ```json { "usernames": ["natgeo"], "maxFeedPosts": 72, "maxReels": 36 } ```` ### Output The Actor pushes one dataset record per username. #### Successful result ```json { "id": "25025320", "username": "natgeo", "fullName": "National Geographic", "followersCount": 269000000, "followsCount": 122, "verified": true, "postsCount": 30300, "profilePicUrl": "https://example.cdninstagram.com/...", "externalUrl": "https://www.nationalgeographic.com/", "overall_interactions": 8871840, "feed_avg_engagement": 75320.00, "feed_avg_engagement_rate_by_followers": 0.028, "reels_avg_engagement": 228229.00, "reels_avg_views": 1500000.00, "reels_engagement_rate_by_views": 15.2153, "posts_contribution_pct": 66.67, "reels_contribution_pct": 33.33, "engagement_skew_reels_over_feed": 3.0302, "avg_interactions_per_content": 82147.78, "interactions_per_1k_followers": 32.98, "total_items": 108, "feed_count": 72, "reels_count": 36, "reels_view_coverage": 1.0, "feed_view_coverage": 0.0 } ``` #### Failed result (private or non-existent account) ```json { "username": "some_private_user", "error": "private_or_not_found" } ``` ### Understanding the data #### Engagement metrics explained | Field | What it measures | |---|---| | `feed_avg_engagement` | Average likes + comments per feed post (raw interaction count) | | `feed_avg_engagement_rate_by_followers` | `feed_avg_engagement / followers × 100` - expressed as a percentage | | `reels_avg_engagement` | Average likes + comments per Reel | | `reels_avg_views` | Average play count across analyzed Reels | | `reels_engagement_rate_by_views` | `reels_avg_engagement / reels_avg_views × 100` - what percentage of viewers interact | | `overall_interactions` | Total likes + comments summed across all analyzed feed posts and Reels | | `avg_interactions_per_content` | `overall_interactions / total_items` - average engagement per piece of content | | `interactions_per_1k_followers` | `overall_interactions / followers × 1000` - normalized for audience size comparison | | `engagement_skew_reels_over_feed` | `reels_avg_engagement / feed_avg_engagement` - values above 1 mean Reels outperform feed posts | | `posts_contribution_pct` | Percentage of analyzed items that are feed posts | | `reels_contribution_pct` | Percentage of analyzed items that are Reels | #### Coverage fields explained | Field | What it means | |---|---| | `feed_count` | Feed posts actually fetched (may be less than `maxFeedPosts` if the account has fewer) | | `reels_count` | Reels actually fetched | | `total_items` | `feed_count + reels_count` | | `reels_view_coverage` | Fraction of Reels that had a play count available (0 to 1) | | `feed_view_coverage` | Always `0` - Instagram does not expose view counts for feed posts | #### Error values | `error` value | Meaning | |---|---| | `private_or_not_found` | Account is private, deleted, or the username does not exist | | `soft_blocked` | The Actor's proxy IP was temporarily blocked by Instagram - rerun the username | | `unexpected: ...` | An unexpected HTTP error; the message includes the status code | ### Limitations ### Pricing vs. alternatives The only comparable Actor on Apify Store charges **$0.04 per profile** at all subscription tiers. This Actor matches that price for free users and gets cheaper the higher your Apify plan - up to 50% off on Business plans and above. You are also charged **$0.00005 per Actor start** (charged once per run, regardless of how many usernames you process in that run). | Apify plan | Price per profile | |---|---| | Free | $0.04 | | Starter | $0.03 | | Scale | $0.025 | | Business and above | $0.02 | **Typical monthly cost at Starter plan ($0.03/profile):** - Vet 20 influencers once: **$0.60** - Monitor 20 influencers weekly (80 runs/month): **$2.40/month** - less than one hour of manual research - Agency running 500 profiles/month: **$15.00/month** **Example costs at Business plan ($0.02/profile):** - 10 profiles: $0.00005 + (10 × $0.02) = **$0.20** - 100 profiles: $0.00005 + (100 × $0.02) = **$2.00** - 500 profiles: $0.00005 + (500 × $0.02) = **$10.00** ### FAQ **Do I need an Instagram account or API key?** No. The Actor works entirely on public data - no login, no credentials, no API setup required. **Is 72 posts enough for a reliable engagement rate?** Yes. 72 posts covers roughly 6-12 months of activity for most active creators, which is more than enough to smooth out viral outliers and get a stable baseline. If an account has fewer posts, the Actor fetches all of them. **What happens if an account goes private mid-run?** The Actor records `{ "username": "...", "error": "private_or_not_found" }` and moves on. No charge is applied for failed accounts. **Why do some Reels show 0 views?** Instagram doesn't always return view count data for Reels through the API. If `reels_view_coverage` is below 1.0, some Reels had no play count available. The engagement metrics (likes, comments) are still accurate - only the view-based metrics like `reels_engagement_rate_by_views` will be affected. ### Support Questions or issues? Open a ticket in the **Issues** tab on the Actor page. # Actor input Schema ## `usernames` (type: `array`): Public Instagram handles to analyze (without @ prefix). ## `maxFeedPosts` (type: `integer`): Maximum feed posts to fetch per username (up to 72). ## `maxReels` (type: `integer`): Maximum Reels to fetch per username (up to 36). ## Actor input object example ```json { "usernames": [ "natgeo" ], "maxFeedPosts": 72, "maxReels": 36 } ``` # Actor output Schema ## `dataset` (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 = { "usernames": [ "natgeo" ] }; // Run the Actor and wait for it to finish const run = await client.actor("phantom_coder/instagram-engagement-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": ["natgeo"] } # Run the Actor and wait for it to finish run = client.actor("phantom_coder/instagram-engagement-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": [ "natgeo" ] }' | apify call phantom_coder/instagram-engagement-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=phantom_coder/instagram-engagement-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Influencer Engagement Scraper", "description": "Extract engagement metrics from public Instagram profiles. Get feed engagement rate, Reels views, and follower stats. Covers up to 72 posts and 36 Reels. No login needed. From $0.02 per result.", "version": "0.1", "x-build-id": "wQQdnp70iqVuCAghp" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/phantom_coder~instagram-engagement-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-phantom_coder-instagram-engagement-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/phantom_coder~instagram-engagement-scraper/runs": { "post": { "operationId": "runs-sync-phantom_coder-instagram-engagement-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/phantom_coder~instagram-engagement-scraper/run-sync": { "post": { "operationId": "run-sync-phantom_coder-instagram-engagement-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": "🔍 Instagram usernames", "minItems": 1, "uniqueItems": true, "type": "array", "description": "Public Instagram handles to analyze (without @ prefix).", "items": { "type": "string", "minLength": 1 } }, "maxFeedPosts": { "title": "📸 Max feed posts per user", "minimum": 1, "maximum": 72, "type": "integer", "description": "Maximum feed posts to fetch per username (up to 72).", "default": 72 }, "maxReels": { "title": "🎬 Max Reels per user", "minimum": 1, "maximum": 36, "type": "integer", "description": "Maximum Reels to fetch per username (up to 36).", "default": 36 } } }, "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 } } } } } } } } } } ```