# Reddit Comments Scraper (`toludare/reddit-comments-scraper`) Actor The most powerful Reddit comments on Apify. Get comprehensive comments data from direct urls, post urls, or user profiles. Power your analysis with comment replies from post urls up to any depth. This tools is your best bet to unlock Reddit's ecosystem. - **URL**: https://apify.com/toludare/reddit-comments-scraper.md - **Developed by:** [tolu.](https://apify.com/toludare) (community) - **Categories:** Social media, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.50 / 1,000 comments 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 ## 🚀 Reddit Comments Scraper The most **powerful** Reddit comments on Apify. Get comprehensive comments data from direct urls, post urls, or user profiles. Power your analysis with comment replies from post urls up to any depth. This tools is your best bet to unlock Reddit's ecosystem. ### 💎 Why use this actor? - Comprehensive comments data from direct urls, post urls, or user profiles. - Complete post comments and replies. - Traverse post comments by depth or breadth. - Maximum depth and comment options to limit results. ### ⚙️ Input |Parameter|Type|Description|Default Value| |:---------|:----|:-----------|:-------------:| |startUrls|array|Enter post, direct comment, or user urls.|-| |**Post Settings**| |postSortBy|`confidence`|`top`|`new`|`controversial`|`old`|`qa`|Choose filter to sort post comments.|confidence| |postTraversalStrategy|`depth`|`breadth`|Choose the strategy for traversing the comment tree.|depth| |postMaxDepth|integer|Set the maximum depth to reach in the comment tree. Use -1 to reach the maximum depth possible.|-1| |postMaxComments|integer|Set maximum number of comments to scrape. Use 0 to scrape all comments.|100| |postIncludeModThreads|boolean|Click to include moderator threads in the output.|true| |postIncludeUnavailableThreads|boolean|Click to include unavailable (deleted or removed) threads in the output.|true| |**User Settings**| |userSortBy|`hot`|`new`|`top`|Choose filter to sort user comments.|new| |userSortTimePeriod|`hour`|`day`|`week`|`month`|`year`|`all`|Choose time period for user sort setting.|day| |userMaxComments|integer|Set maximum number of comments to scrape. Use 0 to scrape all comments.|100| ### 📊 Output #### Fields - `input`: Input direct, post, or user url. - `category`: Comment category. One of `direct`, `post`, or `user`. - `rank`: Rank of the comment based on the sort order. Valid for `post` and `user` category. - `id`: Comment id. - `permalink`: Permanent link to the comment. - `postId`: Id of the post where the comment was sent. - `postPermalink`: Permanant link of the post where the comment was sent. - `parentId`: Id of the parent comment to this comment. If `null`, it is a top-level comment. - `createdAt`: Datetime when the comment was created. - `editedAt`: Datetime when the comment was last edited. If `null`, the comment has never been edited. - `content`: Content of the comment. If `null`, the comment has been deleted or removed. - `isAvailable`: True if the comment is available i.e. it has not been deleted or removed. - `unavailableReason`: Reason why the comment is unavailable. If the comment is available, it will be `null`. Otherwise, it will be one of `removed`, `deleted`, or `removed by reddit`. - `subreddit`: Comment subreddit information. - `subreddit.id`: Subreddit id. - `subreddit.name`: Subreddit name. - `subreddit.url`: Subreddit url. - `author`: Comment author information. - `author.id`: Author id. If `null`, the author has been deleted or removed. - `author.name`: Author name. If `null`, the author has been deleted or removed. - `author.url`: Author url. If `null`, the author has been deleted or removed. - `author.isDeleted`: True if the author is deleted or removed. - `author.isOp`: True if the author is the original poster (OP) of the post the comment is in. - `author.isMod`: True if the author is a moderator of the subreddit the comment is in. - `depth`: The comment depth. `0` means it is *a top-level comment*, `1` means it is *a reply to* a top-level comment. `2` means it is *a reply to a reply to* a top-level comment, and so on. Note that while every comment has a depth, the field is only available for the `post` category i.e. only for post url inputs. For the `direct` and `user` category, the value is `null`. - `controversiality`: The controversiality of the comment. From my research, it seems that the values are only `0` and `1`, therefore it could be thought of as a flag. - `score`: Score of the post i.e. the difference between the number of upvotes and the number of downvotes. #### Examples ```json { "input": "https://www.reddit.com/user/Curious_Coder5445/", "category": "user", "rank": 2, "id": "t1_odrn8wd", "permalink": "https://www.reddit.com/r/b2b_sales/comments/1s9uncf/i_built_a_massive_list_of_local_businesses_with/odrn8wd/", "postId": "t3_1s9uncf", "postPermalink": "https://www.reddit.com/r/b2b_sales/comments/1s9uncf/i_built_a_massive_list_of_local_businesses_with/", "parentId": "t1_odrg3wh", "createdAt": "2026-04-01T21:03:33+00:00", "editedAt": null, "content": "Haha fair enough mate. Didn't expect to sell it directly from here, but my DMs are open if anyone needs a look", "isAvailable": true, "unavailableReason": null, "subreddit": { "id": "t5_3bphg", "name": "r/b2b_sales", "url": "https://www.reddit.com/r/b2b_sales/" }, "author": { "id": "t2_1a0azx17aj", "name": "u/Curious_Coder5445", "url": "https://www.reddit.com/user/Curious_Coder5445/", "isDeleted": false, "isOp": true, "isMod": false }, "depth": null, "controversiality": 0, "score": 1 } ```` ```json { "input": "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/", "category": "post", "rank": 3, "id": "t1_ofrqm9n", "permalink": "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/ofrqm9n/", "postId": "t3_1sjd609", "postPermalink": "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/", "parentId": "t1_ofqqt4m", "createdAt": "2026-04-12T15:45:21+00:00", "editedAt": null, "content": "This is assumes you are using some kind of proxy rotation right? Otherwise it seems you are constantly flagging your own ip doing every iteration test or am I wrong? Is it sticky sessions or just get it and get out single internal api requests?\n\nSorry for the nooby question xD", "isAvailable": true, "unavailableReason": null, "subreddit": { "id": "t5_318ly", "name": "r/webscraping", "url": "https://www.reddit.com/r/webscraping/" }, "author": { "id": "t2_5iltyxdn", "name": "u/pck91999", "url": "https://www.reddit.com/user/pck91999/", "isDeleted": false, "isOp": false, "isMod": false }, "depth": 1, "controversiality": 0, "score": 2 } ``` ```json { "input": "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/ofrtmnr/", "category": "direct", "rank": null, "id": "t1_ofrtmnr", "permalink": "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/ofrtmnr/", "postId": "t3_1sjd609", "postPermalink": "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/", "parentId": "t1_ofrqm9n", "createdAt": "2026-04-12T15:59:06+00:00", "editedAt": null, "content": "Good point, I'd probably use a VPN during experimentation. Better yet, a remote VM as you can even be fingerprinted through proxies and VPNs", "isAvailable": true, "unavailableReason": null, "subreddit": { "id": "t5_318ly", "name": "r/webscraping", "url": "https://www.reddit.com/r/webscraping/" }, "author": { "id": "t2_vep5j", "name": "u/matty_fu", "url": "https://www.reddit.com/user/matty_fu/", "isDeleted": false, "isOp": false, "isMod": false }, "depth": null, "controversiality": 0, "score": 4 } ``` # Actor input Schema ## `startUrls` (type: `array`): Enter post, direct comment, or user urls. ## `postSortBy` (type: `string`): Choose filter to sort post comments. ## `postTraversalStrategy` (type: `string`): Choose the strategy for traversing the comment tree. ## `postMaxDepth` (type: `integer`): Set the maximum depth to reach in the comment tree. Use -1 to reach the maximum depth possible. ## `postMaxComments` (type: `integer`): Set maximum number of comments to scrape. Use 0 to scrape all comments. ## `postIncludeModThreads` (type: `boolean`): Click to include moderator threads in the output. ## `postIncludeUnavailableThreads` (type: `boolean`): Click to include unavailable (deleted or removed) threads in the output. ## `userSortBy` (type: `string`): Choose filter to sort user comments. ## `userSortTimePeriod` (type: `string`): Choose time period for user sort setting. ## `userMaxComments` (type: `integer`): Set maximum number of comments to scrape. Use 0 to scrape all comments. ## Actor input object example ```json { "startUrls": [ "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/", "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/ofrtmnr/", "https://www.reddit.com/user/Curious_Coder5445/" ], "postSortBy": "confidence", "postTraversalStrategy": "depth", "postMaxDepth": -1, "postMaxComments": 100, "postIncludeModThreads": true, "postIncludeUnavailableThreads": true, "userSortBy": "new", "userSortTimePeriod": "day", "userMaxComments": 100 } ``` # Actor output Schema ## `overview` (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 = { "startUrls": [ "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/", "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/ofrtmnr/", "https://www.reddit.com/user/Curious_Coder5445/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("toludare/reddit-comments-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": [ "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/", "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/ofrtmnr/", "https://www.reddit.com/user/Curious_Coder5445/", ] } # Run the Actor and wait for it to finish run = client.actor("toludare/reddit-comments-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": [ "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/", "https://www.reddit.com/r/webscraping/comments/1sjd609/stop_defaulting_to_seleniumplaywright_check_the/ofrtmnr/", "https://www.reddit.com/user/Curious_Coder5445/" ] }' | apify call toludare/reddit-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=toludare/reddit-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Comments Scraper", "description": "The most powerful Reddit comments on Apify. Get comprehensive comments data from direct urls, post urls, or user profiles. Power your analysis with comment replies from post urls up to any depth. This tools is your best bet to unlock Reddit's ecosystem.", "version": "1.0", "x-build-id": "M35vEZoTKnT9fUq0o" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/toludare~reddit-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-toludare-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/toludare~reddit-comments-scraper/runs": { "post": { "operationId": "runs-sync-toludare-reddit-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/toludare~reddit-comments-scraper/run-sync": { "post": { "operationId": "run-sync-toludare-reddit-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs", "uniqueItems": true, "type": "array", "description": "Enter post, direct comment, or user urls.", "items": { "type": "string", "pattern": "^https:\\/\\/www\\.reddit\\.com\\/(r\\/\\w+\\/comments\\/\\w+\\/\\w+(\\/\\w+)?|user\\/\\w+)\\/?(\\?.+)?$" } }, "postSortBy": { "title": "Sort Comments By", "enum": [ "confidence", "top", "new", "controversial", "old", "qa" ], "type": "string", "description": "Choose filter to sort post comments.", "default": "confidence" }, "postTraversalStrategy": { "title": "Comments Traversal Strategy", "enum": [ "depth", "breadth" ], "type": "string", "description": "Choose the strategy for traversing the comment tree.", "default": "depth" }, "postMaxDepth": { "title": "Comments Maximum Depth", "minimum": -1, "type": "integer", "description": "Set the maximum depth to reach in the comment tree. Use -1 to reach the maximum depth possible.", "default": -1 }, "postMaxComments": { "title": "Maximum Comments", "minimum": 0, "type": "integer", "description": "Set maximum number of comments to scrape. Use 0 to scrape all comments.", "default": 100 }, "postIncludeModThreads": { "title": "Include Moderator Threads", "type": "boolean", "description": "Click to include moderator threads in the output.", "default": true }, "postIncludeUnavailableThreads": { "title": "Include Unavailable Threads", "type": "boolean", "description": "Click to include unavailable (deleted or removed) threads in the output.", "default": true }, "userSortBy": { "title": "Sort Comments By", "enum": [ "hot", "new", "top" ], "type": "string", "description": "Choose filter to sort user comments.", "default": "new" }, "userSortTimePeriod": { "title": "Sort Time Period", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Choose time period for user sort setting.", "default": "day" }, "userMaxComments": { "title": "Maximum Comments", "minimum": 0, "type": "integer", "description": "Set maximum number of comments to scrape. Use 0 to scrape all comments.", "default": 100 } } }, "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 } } } } } } } } } } ```