# Instagram Comment Scraper (`getdataforme/instagram-comment-scraper`) Actor Extract comments from Instagram posts with user details, timestamps, and engagement metrics. Leverages Playwright for reliable scraping, supports session authentication and proxies for seamless access. Ideal for market research, brand monitoring, and competitive analysis.... - **URL**: https://apify.com/getdataforme/instagram-comment-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Automation, Social media, Lead generation - **Stats:** 7 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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. 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 Comment Scraper ### Introduction The Instagram Comment Scraper is a powerful Apify Actor designed to extract comments from Instagram posts efficiently and reliably. By leveraging Playwright for browser automation, it navigates Instagram's dynamic content to gather detailed comment data, including user information, timestamps, and engagement metrics. This tool is ideal for researchers, marketers, and businesses needing to analyze public sentiment, monitor brand mentions, or gather insights from social media interactions. ### Features - **Comprehensive Comment Extraction**: Scrapes all visible comments from specified Instagram posts, including nested replies and user details. - **High Reliability**: Uses Playwright for robust handling of Instagram's anti-scraping measures, ensuring consistent data retrieval. - **Session-Based Authentication**: Requires an Instagram session ID for authenticated access, allowing deeper insights into private or restricted content. - **Proxy Support**: Integrates with Apify's proxy services, including residential proxies, to avoid IP bans and maintain anonymity. - **Structured Output**: Delivers clean, JSON-formatted data with fields like comment text, likes, timestamps, and user profiles. - **Scalable Performance**: Processes multiple URLs in a single run, optimized for speed and efficiency. - **Error-Resilient**: Includes built-in retry mechanisms and logging for smooth operation. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | startUrls | array | Yes | List of Instagram post URLs to scrape comments from. Supports multiple posts in one run. | `[{"url": "https://www.instagram.com/p/DPoW0icAfhS/?img_index=1"}]` | | sessionId | string | Yes | The session ID cookie value from your Instagram account, required for accessing content. Obtain this from your browser's developer tools. | `"abc123sessionid"` | | proxyConfiguration | object | No | Configures proxy settings to mask the scraper's IP and avoid blocks. Defaults to Apify's residential proxies. | `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}` | ### Example Usage #### Input JSON ```json { "startUrls": [ { "url": "https://www.instagram.com/p/DPoW0icAfhS/?img_index=1" } ], "sessionId": "your_instagram_session_id_here", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` #### Output JSON ```json [ { "comment_id": "17984513219902563", "comment_text": "❤️❤️❤️🔥🔥", "created_at": 1760118480, "created_at_utc": 1760118480, "comment_like_count": 1, "child_comment_count": 0, "media_id": "3740339857944344658", "status": "Active", "user": { "user_id": "3410434351", "username": "kosagar_official", "full_name": "ĶosåģǞṝ ØɒØ", "is_verified": false, "is_private": true, "profile_pic_url": "https://scontent-iad3-1.cdninstagram.com/v/t51.82787-19/615252701_18426778324114352_3829140185083989150_n.jpg?stp=dst-jpg_s150x150_tt6&_nc_cat=107&ccb=7-5&_nc_sid=f7ccc5&efg=eyJ2ZW5jb2RlX3RhZyI6InByb2ZpbGVfcGljLnd3dy44OTYuQzMifQ%3D%3D&_nc_ohc=0Zl0OqW4KM0Q7kNvwEXoyS4&_nc_oc=AdlwXUKs_4f7pif_duJDgHlbntfc5pTSjN6FMkrT__a_x3f1hINjHpBenSzn-cywro0&_nc_zt=24&_nc_ht=scontent-iad3-1.cdninstagram.com&_nc_gid=i7tZUQ5k-ElNdO6lJoDWzA&oh=00_AfvCfMA0Pi6kh2zTebD5-_j_9xTHwnQvQW_XceLULjjuqQ&oe=6990F886" } } ] ``` ### Use Cases - **Market Research**: Analyze customer feedback on product posts to identify trends and preferences. - **Competitive Intelligence**: Monitor competitors' Instagram engagement and comment sentiment. - **Brand Monitoring**: Track mentions and replies to your brand's posts for reputation management. - **Content Analysis**: Gather data for academic studies on social media behavior and interactions. - **Influencer Evaluation**: Assess audience engagement on influencer posts to measure campaign effectiveness. - **Business Automation**: Automate data collection for dashboards or reports on social media metrics. ### Installation and Usage 1. Search for "Instagram Comment Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., add start URLs and session ID). 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The Actor outputs a JSON array of comment objects. Each object includes: - `comment_id`: Unique identifier for the comment. - `comment_text`: The full text of the comment (may include emojis). - `created_at` and `created_at_utc`: Timestamps in Unix format. - `comment_like_count`: Number of likes on the comment. - `child_comment_count`: Number of replies. - `media_id`: ID of the associated post. - `status`: Comment status (e.g., "Active"). - `user`: Object with user details like ID, username, full name, verification status, privacy, and profile picture URL. Data is structured for easy parsing and integration into analytics tools. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** Unlock Instagram insights effortlessly! Extract comments from posts with user details, timestamps, and engagement metrics. Features session auth, proxy support, and scalable scraping. Perfect for market research, brand monitoring, and competitive analysis. Start scraping today on Apify! (148 characters) # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `sessionId` (type: `string`): The session ID cookie value from your Instagram account. This is required to access Instagram content. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.instagram.com/p/DPoW0icAfhS/?img_index=1" } ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "startUrls": [ { "url": "https://www.instagram.com/p/DPoW0icAfhS/?img_index=1" } ], "sessionId": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/instagram-comment-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 = { "startUrls": [{ "url": "https://www.instagram.com/p/DPoW0icAfhS/?img_index=1" }], "sessionId": "", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/instagram-comment-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 '{ "startUrls": [ { "url": "https://www.instagram.com/p/DPoW0icAfhS/?img_index=1" } ], "sessionId": "", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/instagram-comment-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/instagram-comment-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Comment Scraper", "description": "Extract comments from Instagram posts with user details, timestamps, and engagement metrics. Leverages Playwright for reliable scraping, supports session authentication and proxies for seamless access. Ideal for market research, brand monitoring, and competitive analysis....", "version": "0.0", "x-build-id": "X4dy96LaDkVKDVJwT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~instagram-comment-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-instagram-comment-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~instagram-comment-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-instagram-comment-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~instagram-comment-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-instagram-comment-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls", "sessionId" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "sessionId": { "title": "Instagram Session ID", "type": "string", "description": "The session ID cookie value from your Instagram account. This is required to access Instagram content." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```