# Reddit Scraper V2 — Posts, Comments, Users & Subreddits (11) (`red_crawler/reddit-scrape-v2`) Actor Scrape Reddit at scale: single posts, comment trees, user profiles, subreddit feeds, and detailed comment lookups (Get Comment by ID + Linked Comment Info). 11 endpoints, no Reddit account or proxy required. For bulk-by-ID lookups see the c - **URL**: https://apify.com/red\_crawler/reddit-scrape-v2.md - **Developed by:** [Red Crawler](https://apify.com/red_crawler) (community) - **Categories:** Automation, SEO tools, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 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 ## Reddit Scraper V2 ![Endpoints](https://img.shields.io/badge/endpoints-11-blue) ![Auth](https://img.shields.io/badge/Reddit_account-not_required-brightgreen) ![Proxy](https://img.shields.io/badge/proxy-not_required-brightgreen) ![Pricing](https://img.shields.io/badge/pricing-pay_per_result-orange) Scrape Reddit at scale — single posts, comment trees, user profiles, subreddit feeds, and detailed comment lookups. **11 self-contained endpoints in one actor.** **No Reddit account, OAuth, or proxy required.** Pick the endpoint, fill the matching section, hit **Start**. > **Looking for bulk-by-ID lookups?** They live in the companion actor [**Reddit Bulk Scrape V2**](https://apify.com/triangular_triangle/reddit-bulk-scrape-v2) — paste up to 500 IDs/usernames (5000 for comments) per run and get one full record per item. --- ### Endpoints at a glance | ## | Endpoint | Records returned | Best for | |---|---|---|---| | 1 | **Post Comments** | up to 1500 (or all) | sentiment, debate threads, archives, training data | | 2 | **Post by ID** | 1 record | single-post deep dive | | 3 | **Profile (Full)** | 1 record | full-profile dashboards, lead enrichment | | 4 | **Profile (Details)** | 1 record | moderation tooling, contributor audits | | 5 | **Profile Posts** | up to 1250 | author monitoring, content audits | | 6 | **Profile Comments** | up to 1250 | brand-mention tracking, reputation monitoring | | 7 | **User Info** | 1 record | filling field gaps from Profile (Full) | | 8 | **Community Info** | 1 record | community discovery, audience sizing | | 9 | **Community Feed** | up to 1250 | content scraping, trending posts | | 10 | **Get Comment by ID** | 1 record | quoting, refreshing one comment | | 11 | **Linked Comment Info** | 1 record | comment with parent post + author context | Inputs accept the most-permissive format Reddit uses for each entity: | Entity | Accepted | |---|---| | post | URL · `t3_` fullname · raw ID | | comment | URL · `t1_` fullname · raw ID | | user | username · `u/name` | | subreddit | name · `r/name` · subreddit URL | --- ### What you can fetch #### 1. Post Comments Every comment on a single post, with control over how the tree is traversed. **Inputs** | Field | Type | Default | Notes | |---|---|---|---| | `post` | string | *(required)* | URL or post ID. | | `sort` | enum | `best` | `best` / `confidence` / `top` / `new` / `controversial` / `old` / `qa`. | | `mode` | enum | `custom` | `custom` (capped) / `top_level` / `all` (uncapped). | | `limit` | int | `100` | 1 – 1500. Used by `custom` mode. | **Returns per comment** — ID, fullname, parent comment / parent post IDs, author, body (markdown + HTML), score, depth, OP flag, all comment flags, subreddit, awards, created + edited timestamps, permalink. **Use it when** — sentiment, debate threads, support-ticket mining, comment archives, training data. --- #### 2. Post by ID Full payload of a single post. **Inputs** | Field | Notes | |---|---| | `post` | URL or post ID. | **Returns** — title, body, score, comment count, awards, flair, media (images / video / gallery), all post flags, subreddit, author, created timestamp. **Use it when** — single-post deep dive, refreshing a stored post, importing one thread into your DB. --- #### 3. Profile (Full) Full Redditor identity with the richest set of profile fields. **Inputs** | Field | Notes | |---|---| | `username` | Raw or `u/name`. | **Returns** — karma split into post / comment / award / awardee, account creation date, snoovatar, banner, social links, accepted-DMs flag, accepted-chats flag, accepted-followers flag, mod info, employee / verified flags, premium status, trophy-case totals. **Use it when** — full-profile dashboards, lead enrichment, account-quality scoring, brand-monitor profile cards. --- #### 4. Profile (Details) Profile-as-subreddit settings (every Reddit profile is also a subreddit `u_username`). **Inputs** | Field | Notes | |---|---| | `username` | Raw or `u/name`. | **Returns** — post permissions, flair settings, mod permissions, contributor / subscriber state, whitelist status, NSFW flag, the user's authorFlair on their own profile. **Use it when** — moderation tooling, contributor / whitelist audits, profile-page gating logic. --- #### 5. Profile Posts The user's submitted posts. **Inputs** | Field | Type | Default | Notes | |---|---|---|---| | `username` | string | *(required)* | Raw or `u/name`. | | `sort` | enum | `new` | `hot` / `new` / `top` / `controversial`. | | `time` | enum | *(none)* | Used with `top` / `controversial`. | | `limit` | int | `25` | 1 – 1250. | **Returns per post** — same rich post record as Post by ID. **Use it when** — author monitoring, content audits, building feeds of a creator's submissions. --- #### 6. Profile Comments The user's comment history. **Inputs** — same controls as Profile Posts (sort / time / limit 1–1250). **Returns per comment** — same record as Post Comments. **Use it when** — brand-mention tracking, reputation monitoring, conversation mining on a single user. --- #### 7. User Info Alternate user-info read with a different field set than Profile (Full) — useful for filling gaps. **Inputs** | Field | Notes | |---|---| | `username` | Raw or `u/name`. | **Returns** — complementary profile fields. **Use it when** — Profile (Full) is missing fields you need; combining both gives the most complete record. --- #### 8. Community Info Subreddit metadata. **Inputs** | Field | Notes | |---|---| | `subreddit` | Name / `r/name` / URL. | **Returns** — subscriber count, public + full description, rules summary, theme (banner, icon, colors), allowed submission types, NSFW flag, type (public / private / restricted), created timestamp. **Use it when** — community discovery, sizing audiences, sidebar / theme audits. --- #### 9. Community Feed A subreddit's post feed with all 6 sort modes. **Inputs** | Field | Type | Default | Notes | |---|---|---|---| | `subreddit` | string | *(required)* | Name / `r/name` / URL. | | `sort` | enum | `hot` | `best` / `hot` / `new` / `top` / `rising` / `controversial`. | | `time` | enum | *(none)* | Used with `top` / `controversial`. | | `limit` | int | `25` | 1 – 1250. | **Returns per post** — same rich post record as Post by ID. **Use it when** — content scraping, trending-post tracking, building feeds of a niche community. --- #### 10. Get Comment by ID Full payload of a single comment. **Inputs** | Field | Notes | |---|---| | `comment` | URL, `t1_` fullname, or raw ID. | **Returns** — body, score, author, flair, awards, parent post / comment IDs, created timestamp, permalink. **Use it when** — quoting a comment, refreshing one stored row, importing a single comment into your DB. --- #### 11. Linked Comment Info Comment payload **plus** the parent post and the comment author profile in a single record — handy when you need full conversation context without firing three separate calls. **Inputs** | Field | Notes | |---|---| | `comment` | URL, `t1_` fullname, or raw ID. | **Returns** — full comment record + parent post (title, subreddit, created, score, flair) + author profile snapshot (karma, account age, flags). **Use it when** — building rich comment cards, audit trails, moderation tooling, or any flow that needs the comment alongside its post and author in one row. --- ### How to run 1. **Pick an endpoint** in the "What to fetch" dropdown. 2. **Open the matching section** and fill its fields. Each section is independent. 3. **Click Start.** Default endpoint is **Community Feed** on `r/python` so the actor runs out of the box. --- ### Output Results are pushed to the actor's default dataset. View as a table or download as JSON / CSV / Excel / XML. | Endpoint kind | Rows pushed | |---|---| | Single-record (Post by ID, Profile (Full), Community Info, Get Comment by ID, Linked Comment Info, etc.) | 1 record | | Feed (Post Comments, Profile Posts / Comments, Community Feed) | up to your `limit` | Every record carries an `endpoint` field. Most useful columns (id, title / name, score / karma, created date) are placed first. --- ### Status & error reference **Run status** *(Apify-side, shown on the run page)* | Apify UI cue | Status | Apify message | Meaning | What to do | |---|---|---|---|---| | green check | `SUCCEEDED` | "Actor succeeded with N results in the dataset" | Run finished. Some or zero results pushed. | Open the dataset. | | red exclamation | `FAILED` | "The Actor process failed…" | Validation error or upstream Reddit fault. | Check the run log. You are NOT charged. | | red clock | `TIMED-OUT` | "The Actor timed out…" | Run exceeded its timeout. | Re-run with a smaller `limit` or a less popular thread / feed. | | red square outline | `ABORTED` | "The Actor process was aborted…" | You stopped the run manually. | No charge for unpushed results. | **Common in-run conditions** *(visible in run log)* | Condition | Cause | Result | |---|---|---| | Empty result set | Username / post / subreddit doesn't exist or is banned. | Run `SUCCEEDED`, 0 records, no charge. | | Removed post stub | Post was removed; partial metadata returned. | Run `SUCCEEDED`, includes `removed_by_category`. | | Suspended account | Username is suspended. | Run `SUCCEEDED`, mostly-null record. | --- ### Common edge cases - **Removed / banned subreddits** return zero records. - **Suspended / deleted accounts** return minimal data; expect most fields to be null. - **Long Post Comments threads** — `all` mode (uncapped) on huge threads can return tens of thousands of records. - **ID format flexibility** — raw IDs, prefixed (`t1_`, `t3_`), and full Reddit URLs are all accepted. - **Bulk-by-ID lookups** live in the companion actor [Reddit Bulk Scrape V2](https://apify.com/triangular_triangle/reddit-bulk-scrape-v2) — use it when you have a list of post / comment / subreddit / user IDs to hydrate in a single call. - **NSFW content** — fully supported; the `over_18` flag tells you if a post is age-gated. --- ### Why this actor is fast - **Speed — 1–3 seconds per call, end-to-end.** Pure HTTP to Reddit's API. No browser to boot, no Playwright / Selenium / Puppeteer overhead. Competing browser-based scrapers typically take 15–60 seconds per call. - **Reliability — zero browser flakiness.** No headless-Chromium crashes. No JS-render timeouts. No captcha pages. No surprise mid-run failures from a browser quirk. - **Footprint:** see memory profile below. **Runs in Apify's lowest 128 MB tier — typically peaks around 45 MB (~35% of the allocation).** The actor is a thin async dispatcher: one HTTP call out, one `push_data` in. Most of the heavy lifting (Reddit auth, proxy rotation, retry, GraphQL persisted-query handling) is done off-actor on our backend, so the actor itself stays small. | Run profile | Peak memory observed | |---|---| | Single post / comment / profile lookup | ~45 MB | | Linked Comment Info (comment + post + author in one row) | ~46 MB | | Subreddit feed (up to 1250 posts) | ~48 MB | That gives ~64% headroom inside 128 MB. You can leave the **Memory** field at the default and never think about it. If you want extra margin (e.g. unusually large `all`-mode comment threads), bumping to **256 MB** is supported and costs more compute units per second on Apify's side — most users won't need it. --- ### Pricing **Pay-per-result.** You're only charged for records actually pushed to the dataset. | Outcome | Charged? | |---|---| | `SUCCEEDED` with results | Yes — per record pushed. | | `SUCCEEDED` with zero records | No. | | `FAILED` (validation / upstream) | No. | | `ABORTED` | Only for records already pushed before you stopped. | See the actor's **Pricing** tab for the current per-result rate. # Actor input Schema ## `endpoint` (type: `string`): Choose which lookup to run. ## `post_comments_post` (type: `string`): Post URL, t3_ID, or raw ID. ## `post_comments_sort` (type: `string`): Comment sort order. ## `post_comments_mode` (type: `string`): custom = limit N comments; top_level = only top-level (no subtree expansion); all = expand every hidden subtree. ## `post_comments_limit` (type: `integer`): Max comments to return (1–1500). ## `post_by_id_post` (type: `string`): Post URL, t3_ID, or raw ID. ## `profile_full_username` (type: `string`): Reddit username (without u/). ## `profile_details_username` (type: `string`): Reddit username (without u/). ## `profile_posts_username` (type: `string`): Reddit username (without u/). ## `profile_posts_sort` (type: `string`): Sort order for the user's posts. ## `profile_posts_time` (type: `string`): Only used with TOP/CONTROVERSIAL. ## `profile_posts_limit` (type: `integer`): Max posts (1–1250). ## `profile_comments_username` (type: `string`): Reddit username (without u/). ## `profile_comments_sort` (type: `string`): Sort order for the user's comments. ## `profile_comments_time` (type: `string`): Only used with TOP/CONTROVERSIAL. ## `profile_comments_limit` (type: `integer`): Max comments (1–1250). ## `profile_info_username` (type: `string`): Reddit username (without u/). ## `community_info_name` (type: `string`): Subreddit name (without r/). ## `community_feed_name` (type: `string`): Subreddit name (without r/). ## `community_feed_sort` (type: `string`): Subreddit feed sort order. ## `community_feed_time` (type: `string`): Only used with TOP/CONTROVERSIAL. ## `community_feed_limit` (type: `integer`): Max posts (1–1250). ## `get_comment_byid_id` (type: `string`): Comment URL, t1_ID, or raw ID. ## `linked_comment_info_id` (type: `string`): Comment URL, t1_ID, or raw ID. ## Actor input object example ```json { "endpoint": "community_feed", "post_comments_post": "1jq3e8u", "post_comments_sort": "best", "post_comments_mode": "custom", "post_comments_limit": 100, "post_by_id_post": "1jq3e8u", "profile_full_username": "spez", "profile_details_username": "spez", "profile_posts_username": "spez", "profile_posts_sort": "new", "profile_posts_time": "all", "profile_posts_limit": 100, "profile_comments_username": "spez", "profile_comments_sort": "new", "profile_comments_time": "all", "profile_comments_limit": 100, "profile_info_username": "spez", "community_info_name": "python", "community_feed_name": "python", "community_feed_sort": "hot", "community_feed_time": "all", "community_feed_limit": 100, "get_comment_byid_id": "c60n1vq", "linked_comment_info_id": "c60n1vq" } ```` # 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 = { "endpoint": "community_feed", "post_comments_post": "1jq3e8u", "post_by_id_post": "1jq3e8u", "profile_full_username": "spez", "profile_details_username": "spez", "profile_posts_username": "spez", "profile_comments_username": "spez", "profile_info_username": "spez", "community_info_name": "python", "community_feed_name": "python", "get_comment_byid_id": "c60n1vq", "linked_comment_info_id": "c60n1vq" }; // Run the Actor and wait for it to finish const run = await client.actor("red_crawler/reddit-scrape-v2").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 = { "endpoint": "community_feed", "post_comments_post": "1jq3e8u", "post_by_id_post": "1jq3e8u", "profile_full_username": "spez", "profile_details_username": "spez", "profile_posts_username": "spez", "profile_comments_username": "spez", "profile_info_username": "spez", "community_info_name": "python", "community_feed_name": "python", "get_comment_byid_id": "c60n1vq", "linked_comment_info_id": "c60n1vq", } # Run the Actor and wait for it to finish run = client.actor("red_crawler/reddit-scrape-v2").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 '{ "endpoint": "community_feed", "post_comments_post": "1jq3e8u", "post_by_id_post": "1jq3e8u", "profile_full_username": "spez", "profile_details_username": "spez", "profile_posts_username": "spez", "profile_comments_username": "spez", "profile_info_username": "spez", "community_info_name": "python", "community_feed_name": "python", "get_comment_byid_id": "c60n1vq", "linked_comment_info_id": "c60n1vq" }' | apify call red_crawler/reddit-scrape-v2 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=red_crawler/reddit-scrape-v2", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Scraper V2 — Posts, Comments, Users & Subreddits (11)", "description": "Scrape Reddit at scale: single posts, comment trees, user profiles, subreddit feeds, and detailed comment lookups (Get Comment by ID + Linked Comment Info). 11 endpoints, no Reddit account or proxy required. For bulk-by-ID lookups see the c", "version": "1.1", "x-build-id": "8eA31iy834h7RQS9Q" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/red_crawler~reddit-scrape-v2/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-red_crawler-reddit-scrape-v2", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/red_crawler~reddit-scrape-v2/runs": { "post": { "operationId": "runs-sync-red_crawler-reddit-scrape-v2", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/red_crawler~reddit-scrape-v2/run-sync": { "post": { "operationId": "run-sync-red_crawler-reddit-scrape-v2", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "endpoint" ], "properties": { "endpoint": { "title": "What to fetch", "enum": [ "post_comments", "post_by_id", "profile_full", "profile_details", "profile_posts", "profile_comments", "profile_info", "community_info", "community_feed", "get_comment_byid", "linked_comment_info" ], "type": "string", "description": "Choose which lookup to run.", "default": "community_feed" }, "post_comments_post": { "title": "Post", "type": "string", "description": "Post URL, t3_ID, or raw ID." }, "post_comments_sort": { "title": "Sort", "enum": [ "best", "confidence", "top", "new", "controversial", "old", "qa" ], "type": "string", "description": "Comment sort order.", "default": "best" }, "post_comments_mode": { "title": "Comment mode", "enum": [ "custom", "top_level", "all" ], "type": "string", "description": "custom = limit N comments; top_level = only top-level (no subtree expansion); all = expand every hidden subtree.", "default": "custom" }, "post_comments_limit": { "title": "Limit", "minimum": 1, "maximum": 1500, "type": "integer", "description": "Max comments to return (1–1500).", "default": 100 }, "post_by_id_post": { "title": "Post", "type": "string", "description": "Post URL, t3_ID, or raw ID." }, "profile_full_username": { "title": "Username", "type": "string", "description": "Reddit username (without u/)." }, "profile_details_username": { "title": "Username", "type": "string", "description": "Reddit username (without u/)." }, "profile_posts_username": { "title": "Username", "type": "string", "description": "Reddit username (without u/)." }, "profile_posts_sort": { "title": "Sort", "enum": [ "hot", "new", "top", "controversial" ], "type": "string", "description": "Sort order for the user's posts.", "default": "new" }, "profile_posts_time": { "title": "Time filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Only used with TOP/CONTROVERSIAL.", "default": "all" }, "profile_posts_limit": { "title": "Limit", "minimum": 1, "maximum": 1250, "type": "integer", "description": "Max posts (1–1250).", "default": 100 }, "profile_comments_username": { "title": "Username", "type": "string", "description": "Reddit username (without u/)." }, "profile_comments_sort": { "title": "Sort", "enum": [ "hot", "new", "top", "controversial" ], "type": "string", "description": "Sort order for the user's comments.", "default": "new" }, "profile_comments_time": { "title": "Time filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Only used with TOP/CONTROVERSIAL.", "default": "all" }, "profile_comments_limit": { "title": "Limit", "minimum": 1, "maximum": 1250, "type": "integer", "description": "Max comments (1–1250).", "default": 100 }, "profile_info_username": { "title": "Username", "type": "string", "description": "Reddit username (without u/)." }, "community_info_name": { "title": "Subreddit", "type": "string", "description": "Subreddit name (without r/)." }, "community_feed_name": { "title": "Subreddit", "type": "string", "description": "Subreddit name (without r/)." }, "community_feed_sort": { "title": "Sort", "enum": [ "best", "hot", "new", "top", "rising", "controversial" ], "type": "string", "description": "Subreddit feed sort order.", "default": "hot" }, "community_feed_time": { "title": "Time filter", "enum": [ "hour", "day", "week", "month", "year", "all" ], "type": "string", "description": "Only used with TOP/CONTROVERSIAL.", "default": "all" }, "community_feed_limit": { "title": "Limit", "minimum": 1, "maximum": 1250, "type": "integer", "description": "Max posts (1–1250).", "default": 100 }, "get_comment_byid_id": { "title": "Comment", "type": "string", "description": "Comment URL, t1_ID, or raw ID." }, "linked_comment_info_id": { "title": "Comment", "type": "string", "description": "Comment URL, t1_ID, or raw 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 } } } } } } } } } } ```