# Instagram Comments Scraper - Post & Reel Comments (`dami_studio/instagram-comments-scraper`) Actor Pull every comment from any Instagram post or reel - cheapest at $0.40/1k. Returns text, likes, reply counts, author, verified badge and timestamp. Bulk URLs, export JSON/CSV/Excel or send to Notion. Failed and empty runs are never charged. - **URL**: https://apify.com/dami\_studio/instagram-comments-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Social media, Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.40 / 1,000 result returneds 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 ## โšก Instagram Comments Scraper โ€” Post & Reel Comments Scrape every comment from any **Instagram post or reel** โ€” text, like count, reply count, author, verified badge, and timestamp. Flat JSON/CSV/Excel export or one-click Notion delivery. **Pay per comment โ€” failed or empty runs cost nothing.** ### Why it wins - ๐Ÿ’ธ **$0.40 / 1,000 comments** โ€” the same account-pool method the expensive incumbents charge multiples for, at a fraction of the price. - ๐Ÿ”„ **Account-pool rotation, built in** โ€” drop in a few throwaway `sessionid` cookies and the actor rotates them across fresh **residential** IPs automatically, exactly how the paid services stay unblocked. - ๐Ÿงน **Clean, flat records** โ€” no nested GraphQL soup. One row per comment, ready for a sheet or a database. - ๐Ÿ“ฌ **Notion delivery built in** โ€” pipe results straight into a Notion data source, no glue code. - ๐ŸŽฏ **Post URL or shortcode** โ€” paste `/p/`, `/reel/`, or `/tv/` links, or bare shortcodes. Both work. > Instagram gates comments behind a login โ€” there is **no keyless path** for this data (the paid services use account pools too). This actor does the same, with **your** sessionid cookies. ### โš ๏ธ Requires a logged-in `sessionid` cookie **Get the cookie (about 1 minute):** log in to instagram.com with a **throwaway account** โ†’ press `F12` โ†’ **Application** โ†’ **Cookies** โ†’ copy the `sessionid` value โ†’ paste it into `sessionCookies`. Add a few accounts (one per line) for higher throughput and lower block rates. ### Input | Field | Type | Description | |---|---|---| | `postUrls` | array | Instagram post / reel / TV URLs (`/p/โ€ฆ`, `/reel/โ€ฆ`, `/tv/โ€ฆ`). | | `shortcodes` | array | Or bare post shortcodes (e.g. `Bt_RWejnzWS`). | | `maxComments` | integer | Cap on total comments returned (1โ€“5000, default 100). Charged per comment. | | `sessionCookies` | array | **Required.** One or more `sessionid` cookies โ€” the actor rotates them. | | `proxyConfiguration` | object | Residential proxy (preconfigured, required by Instagram). | | `notionConnector` | string | Optional Notion connector ID for delivery. | | `notionParentId` | string | Optional Notion data-source ID. | ### Output One flat record per comment: ```json { "type": "comment", "id": "17912345678901234", "mediaId": "1234567890123456789", "text": "this is unreal ๐Ÿ”ฅ", "likeCount": 42, "replyCount": 3, "createdAt": "2026-06-20T14:08:31.000Z", "ownerUsername": "real_user", "ownerId": "9876543210", "ownerVerified": false } ```` ### Pricing **$0.40 per 1,000 comments** (pay-per-result). Failed or empty runs are **not** charged. ### FAQ **Do I really need a cookie?** Yes. Instagram comments are login-gated โ€” there is no keyless route. Use a throwaway account; the actor never touches your main login. **Can I pass several accounts?** Yes โ€” add one `sessionid` per line in `sessionCookies`. The actor rotates accounts and residential IPs to spread load and avoid blocks. **Posts or reels?** Both. Reels and IGTV (`/reel/`, `/tv/`) work exactly like feed posts (`/p/`). **Will I be charged if a post is private or returns nothing?** No. You only pay for comments actually returned. **How do I get results into Notion?** Set `notionConnector` and `notionParentId` and the actor delivers each run automatically. *** Want posts, profiles, hashtags, or locations too? Pair this with the companion **Instagram Scraper** and **Instagram Hashtag Scraper**. # Actor input Schema ## `postUrls` (type: `array`): Instagram post/reel URLs to scrape comments from. ## `shortcodes` (type: `array`): Or bare post shortcodes. ## `maxComments` (type: `integer`): Charged per comment. ## `sessionCookies` (type: `array`): This data is login-gated โ€” no keyless path (this is how the paid services do it). Add throwaway-account sessionid cookies; the actor rotates them. From a logged-in instagram.com: F12 โ†’ Application โ†’ Cookies โ†’ copy sessionid. One per line. ## `proxyConfiguration` (type: `object`): Residential proxy required (preconfigured). ## `notionConnector` (type: `string`): Optional Notion delivery. ## `notionParentId` (type: `string`): Optional Notion data-source id. ## Actor input object example ```json { "postUrls": [ "https://www.instagram.com/p/Bt_RWejnzWS/" ], "shortcodes": [ "Bt_RWejnzWS" ], "maxComments": 100, "sessionCookies": [ "sessionid=12345%3AAbCd...%3A12%3A..." ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Results in the default dataset. # 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 = { "postUrls": [ "https://www.instagram.com/p/Bt_RWejnzWS/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/instagram-comments-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "postUrls": ["https://www.instagram.com/p/Bt_RWejnzWS/"] } # Run the Actor and wait for it to finish run = client.actor("dami_studio/instagram-comments-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "postUrls": [ "https://www.instagram.com/p/Bt_RWejnzWS/" ] }' | apify call dami_studio/instagram-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/instagram-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Comments Scraper - Post & Reel Comments", "description": "Pull every comment from any Instagram post or reel - cheapest at $0.40/1k. Returns text, likes, reply counts, author, verified badge and timestamp. Bulk URLs, export JSON/CSV/Excel or send to Notion. Failed and empty runs are never charged.", "version": "0.1", "x-build-id": "xA10ctgnqisskJ3HA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~instagram-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-instagram-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/dami_studio~instagram-comments-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-instagram-comments-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/dami_studio~instagram-comments-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-instagram-comments-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", "properties": { "postUrls": { "title": "Post URLs", "type": "array", "description": "Instagram post/reel URLs to scrape comments from.", "items": { "type": "string" } }, "shortcodes": { "title": "Shortcodes", "type": "array", "description": "Or bare post shortcodes.", "items": { "type": "string" } }, "maxComments": { "title": "Max comments", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Charged per comment.", "default": 100 }, "sessionCookies": { "title": "Instagram session cookies (REQUIRED)", "type": "array", "description": "This data is login-gated โ€” no keyless path (this is how the paid services do it). Add throwaway-account sessionid cookies; the actor rotates them. From a logged-in instagram.com: F12 โ†’ Application โ†’ Cookies โ†’ copy sessionid. One per line.", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Residential proxy required (preconfigured).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }, "notionConnector": { "title": "Notion connector ID (optional)", "type": "string", "description": "Optional Notion delivery." }, "notionParentId": { "title": "Notion data-source ID (optional)", "type": "string", "description": "Optional Notion data-source id." } } }, "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 } } } } } } } } } } ```