# Instagram Reel & Post Analytics by URL · All Metrics (`patient_discovery/instagram-reel-analytics-by-url`) Actor Get all engagement metrics from any Instagram post or Reel URL — views, likes, comments, shares, saves, and reposts in one place. 128 fields per result including audio metadata, creator profiles, and content flags. Bulk URLs supported. No login. JSON/CSV/Excel. - **URL**: https://apify.com/patient\_discovery/instagram-reel-analytics-by-url.md - **Developed by:** [Surge Street](https://apify.com/patient_discovery) (community) - **Categories:** Social media - **Stats:** 12 total users, 9 monthly users, 70.9% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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 Reel & Post Analytics by URL · All Metrics Paste any Instagram post or Reel URL and get back every engagement metric in one structured result — views, likes, comments, shares, saves, and reposts. No more switching between posts manually or getting partial data. Works for images, carousels, Reels, and videos. No login required. ### The Problem This Solves Most Instagram analytics tools either require an account login, only return 2–3 metrics, or don't include `saves`, `shares`, or `reposts` at all. Finding all six core engagement metrics from a specific URL in one API call is surprisingly hard. This actor solves that. Paste a URL, get 128 structured fields back — all six engagement metrics plus audio metadata, content flags, creator profile, and more. ### The Six Metrics You Actually Need | Metric | Field | Notes | |---|---|---| | **Views** | `metrics.play_count` + `metrics.ig_play_count` | Two view count variants for Reels | | **Likes** | `metrics.like_count` | | | **Comments** | `metrics.comment_count` | | | **Shares** | `metrics.share_count` | Times sent via DM | | **Saves** | `metrics.save_count` | Times added to collections | | **Reposts** | `metrics.repost_count` | Instagram's repost feature (added 2025) | **Note on reposts:** Instagram's repost count was added in summer 2025. Most scrapers still don't return it. This actor does. ### Full Output — 128 Fields #### Engagement (all 6 metrics) ```` metrics.play\_count · metrics.ig\_play\_count · metrics.like\_count metrics.comment\_count · metrics.share\_count · metrics.save\_count · metrics.repost\_count ``` #### Content data ``` caption.text · caption.hashtags\[] · caption.mentions\[] is\_video · media\_format · media\_name video\_url · video\_duration · thumbnail\_url image\_versions.items\[] · code · id · taken\_at\_date ``` #### Content flags ``` is\_paid\_partnership · is\_pinned · comments\_disabled like\_and\_view\_counts\_disabled · is\_reuse\_allowed ``` #### Audio / music (for Reels) ``` clips\_metadata.audio\_canonical\_id · clips\_metadata.audio\_type video\_subtitles\_locale · has\_audio · number\_of\_qualities ``` #### Creator profile ``` user.username · user.full\_name · user.is\_verified user.id · user.account\_type · user.is\_private ``` #### Collaboration & sponsorship ``` tagged\_users\[] · coauthor\_producers\[] · sponsor\_tags\[] ```` ### How It Works **Step 1.** Enter one or more Instagram post or Reel URLs. Accepts any format — `instagram.com/p/ABC123/` or `instagram.com/reel/ABC123/`. **Step 2.** Click "Start." **Step 3.** Download your dataset as JSON, CSV, or Excel. --- ### Use Cases **Campaign performance tracking.** Running an influencer campaign? Paste all the deliverable URLs at the end of the campaign and get every metric in one spreadsheet — views, likes, shares, saves, reposts per post. No manual checking, no incomplete data. **Content benchmarking.** Build your own content performance database. Scrape URLs from your posts and competitor posts on a regular schedule. Track how saves and shares change over time — these are the two metrics that best predict algorithmic reach. **Sponsored content audit.** The `is_paid_partnership` flag tells you which posts are branded deals. Scrape a creator's recent posts, filter by `is_paid_partnership: true`, and analyze how their sponsored content performs against organic content. **Viral content research.** Found a Reel performing unusually well? Pull all 128 fields to understand every variable: audio track used (`clips_metadata.audio_canonical_id`), post time, caption structure, collaborators, hashtag count. Reverse-engineer what made it work. **Bulk analytics pipeline.** Feed post URLs from a spreadsheet, run the actor, get structured metrics back. Pipe into Google Sheets, Notion, or a custom dashboard via the Apify API or Make/Zapier integration. --- ### Sample Output ```json { "metrics": { "like_count": 4099, "comment_count": 12923, "play_count": 355123, "ig_play_count": 355123, "share_count": 10919, "save_count": 11085, "repost_count": 154 }, "caption": { "text": "I gained 50,000 followers in 17 days using Claude AI.\n\nNo paid ads. No collabs. Just 3 skills.", "hashtags": ["#claudeai", "#aitools", "#instagramgrowth"], "mentions": [] }, "media_name": "reel", "is_video": true, "video_url": "https://scontent.cdninstagram.com/...", "video_duration": 41.35, "taken_at_date": "2026-04-29T10:18:41+00:00", "is_paid_partnership": false, "is_pinned": false, "clips_metadata": { "audio_canonical_id": "18537152875064470", "audio_type": "licensed_music" }, "user": { "username": "manthanjethwani", "full_name": "Manthan Jethwani", "is_verified": true } } ```` *** ### FAQ **What URL formats does it accept?** Standard post URLs (`instagram.com/p/ABC123/`), Reel URLs (`instagram.com/reel/ABC123/`), and raw shortcodes (`ABC123`). **Why are saves and shares hard to find in other scrapers?** Instagram doesn't expose saves and shares in the same basic API response as likes and comments. They require a separate metrics call. Most scrapers skip this step. This actor makes both calls and merges the data. **What does `repost_count` mean?** Instagram introduced native reposting in 2025 — users can share other people's posts directly to their own profile grid. `repost_count` tracks how many times a post has been reposted. It's a strong virality signal not yet available in most scrapers. **Can I track the same post over time?** Yes. Run the actor on the same URL at different intervals. Compare metric snapshots to track how a post performs over days or weeks. **Does this work for images and carousels too?** Yes. Any public Instagram URL — photos, carousels, Reels, videos. The `media_format` and `media_name` fields tell you the type of content. **Is login or cookies required?** No. This actor accesses publicly available post data without any authentication. *** ### 🧩 Other Instagram Actors | Actor | What it does | Link | |---|---|---| | Instagram Reels Search | Search Reels by keyword — trending content | [Try it →](https://apify.com/patient_discovery/instagram-search-reels) | | Instagram Profile Reels | All Reels from any profile | [Try it →](https://apify.com/patient_discovery/instagram-profile-reels) | | Instagram Post Comments | Extract comments with engagement signals | [Try it →](https://apify.com/patient_discovery/instagram-comments) | | Instagram Post Likes | Who liked any post | [Try it →](https://apify.com/patient_discovery/instagram-likes) | *** ### 💬 Support Found a bug or want a feature? Open an issue on the **Issues tab**. Responses within 24 hours. # Actor input Schema ## `postCode` (type: `string`): One Instagram post/Reel URL or shortcode (e.g. ABC123). Leave empty if you only use Post URLs (bulk) below. ## `postUrls` (type: `array`): Multiple Instagram post or Reel URLs or shortcodes — one result row set per URL. ## Actor input object example ```json {} ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("patient_discovery/instagram-reel-analytics-by-url").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 = {} # Run the Actor and wait for it to finish run = client.actor("patient_discovery/instagram-reel-analytics-by-url").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 '{}' | apify call patient_discovery/instagram-reel-analytics-by-url --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=patient_discovery/instagram-reel-analytics-by-url", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Reel & Post Analytics by URL · All Metrics", "description": "Get all engagement metrics from any Instagram post or Reel URL — views, likes, comments, shares, saves, and reposts in one place. 128 fields per result including audio metadata, creator profiles, and content flags. Bulk URLs supported. No login. JSON/CSV/Excel.", "version": "1.0", "x-build-id": "Cg5jXOePAbEr8YYUm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/patient_discovery~instagram-reel-analytics-by-url/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-patient_discovery-instagram-reel-analytics-by-url", "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/patient_discovery~instagram-reel-analytics-by-url/runs": { "post": { "operationId": "runs-sync-patient_discovery-instagram-reel-analytics-by-url", "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/patient_discovery~instagram-reel-analytics-by-url/run-sync": { "post": { "operationId": "run-sync-patient_discovery-instagram-reel-analytics-by-url", "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": { "postCode": { "title": "Post URL or shortcode (single)", "type": "string", "description": "One Instagram post/Reel URL or shortcode (e.g. ABC123). Leave empty if you only use Post URLs (bulk) below." }, "postUrls": { "title": "Post URLs (bulk)", "type": "array", "description": "Multiple Instagram post or Reel URLs or shortcodes — one result row set per URL.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```