# Reddit Comments Scraper (`easyapi/reddit-comments-scraper`) Actor Extract Reddit comments with their complete thread structure, including nested replies, user information, and engagement metrics. Perfect for analyzing discussions, sentiment analysis, and tracking community engagement on Reddit posts. - **URL**: https://apify.com/easyapi/reddit-comments-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media - **Stats:** 276 total users, 12 monthly users, 37.8% runs succeeded, 6 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Reddit Comments Scraper πŸ’¬ Extract complete comment threads from Reddit posts with full conversation context and rich metadata. ### 🌟 Features - Extract complete comment threads with nested replies - Capture user information and avatars - Track comment engagement metrics - Support for various content types (text, images) - Duplicate comment detection ### πŸ“Š Output Data Structure Each comment includes: - Comment ID and metadata - Author information and avatar - Parent-child relationship tracking - Creation timestamp (ISO format) - Content and content type - Engagement metrics (upvotes) - Moderation status - Nested replies array ### πŸ’‘ Use Cases - Sentiment analysis - Discussion tracking - User engagement analysis - Content moderation monitoring - Community feedback analysis - Market research - Academic research - Social media monitoring ### πŸ”§ Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | postUrl | String | URL of the Reddit post to scrape | | maxItems | Integer | Maximum number of comments to scrape | | proxyConfiguration | Object | Optional proxy settings | #### Input Example A full explanation of an input example in JSON. ```` { "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these\_are\_all\_ai/", "maxItems": 100 } ``` #### Output sample The results will be wrapped into a dataset which you can always find in theΒ **Storage**Β tab. Here's an excerpt from the data you'd get if you apply the input parameters above: And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML. ``` \[ { "comment\_id": "t1\_lhk1f7n", "post\_id": "t3\_1epeshq", "author": "AutoModerator", "permalink": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/comment/lhk1f7n/", "upvotes": 1, "content\_type": "text", "parent\_id": null, "author\_avatar": "https://styles.redditmedia.com/t5\_1yz875/styles/profileIcon\_klqlly9fc4l41.png?width=64\&height=64\&frame=1\&auto=webp\&crop=64:64,smart\&s=d2d22c53cc8b2756dc0cfabd790128c50c94a74d", "userUrl": "https://www.reddit.com/user/AutoModerator", "contentText": "Moderator Announcement\n Read More Β»\n \n \n \n \n Hey u/Maxie445!\n \n If your post is a screenshot of a ChatGPT conversation, please reply to this message with the conversation link or prompt.\n \n If your post is a DALL-E 3 image post, please reply with the prompt used to make this image.\n \n Consider joining our public discord server! We have free bots with GPT-4 (with vision), image generators, and more!\n \n πŸ€–\n \n Note: For any ChatGPT-related concerns, email support@openai.com\n \n I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.", "created\_time": "2024-08-11T07:12:09.272000+0000" }, { "comment\_id": "t1\_lhkeis2", "post\_id": "t3\_1epeshq", "author": "Alternative\_Lynx\_155", "permalink": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/comment/lhkeis2/", "upvotes": 1434, "content\_type": "text", "parent\_id": null, "author\_avatar": "https://styles.redditmedia.com/t5\_4g5czk/styles/profileIcon\_729ggyg69ivd1.jpeg?width=64\&height=64\&frame=1\&auto=webp\&crop=64:64,smart\&s=3efec1c537ca85a1aeacaa9a0c7a58b052181ef3", "userUrl": "https://www.reddit.com/user/Alternative\_Lynx\_155", "contentText": "That is crazy. When I was younger I thought thispersondoesnotexist.com was scary, but this is something completly different.", "created\_time": "2024-08-11T09:39:54.843000+0000", "replies": \[ { "comment\_id": "t1\_lhmhxjf", "post\_id": "t3\_1epeshq", "author": "who\_am\_i\_to\_say\_so", "permalink": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/comment/lhmhxjf/", "upvotes": 279, "content\_type": "text", "parent\_id": "t1\_lhkeis2", "author\_avatar": "https://styles.redditmedia.com/t5\_9nppax/styles/profileIcon\_kmdpkdhclabd1.png?width=64\&height=64\&frame=1\&auto=webp\&crop=64:64,smart\&s=a0b6857e2d06bc9b7e7df01e5cea98fc4eacb31e", "userUrl": "https://www.reddit.com/user/who\_am\_i\_to\_say\_so", "contentText": "I just spent 30 mins f5'ing that page. It's so addicting!", "created\_time": "2024-08-11T18:22:16.497000+0000" } ] }, ... ] ```` # Actor input Schema ## `postUrl` (type: `string`): URL of the Reddit post to scrape ## `maxItems` (type: `integer`): Maximum number of comments to scrape ## `proxyConfiguration` (type: `object`): Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking. ## Actor input object example ```json { "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/", "maxItems": 30, "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 = { "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/", "maxItems": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/reddit-comments-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/", "maxItems": 30, } # Run the Actor and wait for it to finish run = client.actor("easyapi/reddit-comments-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "postUrl": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/", "maxItems": 30 }' | apify call easyapi/reddit-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/reddit-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Comments Scraper", "description": "Extract Reddit comments with their complete thread structure, including nested replies, user information, and engagement metrics. Perfect for analyzing discussions, sentiment analysis, and tracking community engagement on Reddit posts.", "version": "0.0", "x-build-id": "Qu2CNRoLirKk3AmYU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~reddit-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-reddit-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/easyapi~reddit-comments-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-reddit-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/easyapi~reddit-comments-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-reddit-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", "required": [ "postUrl" ], "properties": { "postUrl": { "title": "Post URL", "type": "string", "description": "URL of the Reddit post to scrape", "default": "https://www.reddit.com/r/ChatGPT/comments/1epeshq/these_are_all_ai/" }, "maxItems": { "title": "Maximum Items", "minimum": 30, "type": "integer", "description": "Maximum number of comments to scrape", "default": 30 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optionally, use Apify Proxy or custom HTTP proxy to avoid IP address-based blocking.", "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 } } } } } } } } } } ```