# Reddit Bulk Scrape 10000 IDs V1 — Posts, Comments, Subs, Users (`red_crawler/reddit-bulk-scrape`) Actor Bulk-hydrate up to 10,000 Reddit posts, comments, subreddits, or users per run. Paste IDs, names, or URLs — get one full record per item. No Reddit account, OAuth, or proxy required. Mix formats freely; duplicates auto-removed. $1.99 per 1,000 results. - **URL**: https://apify.com/red\_crawler/reddit-bulk-scrape.md - **Developed by:** [Red Crawler](https://apify.com/red_crawler) (community) - **Categories:** Lead generation, Social media, Automation - **Stats:** 15 total users, 2 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 5.00 out of 5 stars ## 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 Bulk Scrape ![Endpoints](https://img.shields.io/badge/endpoints-4-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) ![Cap](https://img.shields.io/badge/per_run_cap-10000_items-lightgrey) Hydrate up to **10000 Reddit IDs, names, or URLs in a single run**. Pick an endpoint — Posts, Comments, Subreddits, or Users — paste your list, and get one fully populated dataset record per item. **No Reddit account or proxy required.** A single-input actor: choose the endpoint, paste the list, hit **Start**. --- ### Endpoints at a glance | # | Endpoint | Input | Cap per run | Best for | |---|---|---|---|---| | 1 | **Bulk Posts** | post IDs / URLs | 10000 | refreshing stored post lists, hydrating IDs / URLs | | 2 | **Bulk Comments** | comment IDs / URLs | 10000 | comment-list hydration, archival pipelines | | 3 | **Bulk Subreddits** | subreddit names / IDs / URLs | 10000 | community-list enrichment, niche directories | | 4 | **Bulk Users** | usernames / IDs / URLs | 10000 | CRM enrichment, account-quality scoring | Inputs accept the most-permissive format Reddit uses for each entity: | Entity | Accepted formats | |---|---| | post | full URL · prefixed `t3_1s4a4j6` · stripped ID `1s4a4j6` · short URL `https://reddit.com/comments/1s4a4j6` | | comment | full URL · prefixed `t1_lwbnv0t` · stripped ID `lwbnv0t` | | subreddit | name `AskReddit` · prefixed `r/AskReddit` · full ID `t5_2qh1i` · full URL `https://reddit.com/r/AskReddit` | | user | username `spez` · prefixed `u/spez` · full ID `t2_1w72` · profile URL `https://reddit.com/user/spez` | Separate inputs with commas **or** newlines — both work. Mix prefixed, stripped, names, and URLs freely; duplicates are removed automatically. --- ### What you can fetch #### 1. Bulk Posts Hydrate a list of Reddit posts. **Inputs** | Field | Notes | |---|---| | `bulk_posts_ids` | Comma- or newline-separated post inputs. Up to **10000**. | **Accepted formats** — full IDs (`t3_1s4a4j6`), stripped IDs (`1s4a4j6`), full URLs (`https://www.reddit.com/r/Wordpress/comments/1s4a4j6/`), and short URLs (`https://reddit.com/comments/1s4a4j6`). Mix freely. **Returns per post** — Reddit ID, fullname, title, body / selftext, author, author fullname, subreddit (name + prefixed + ID), score, ups / downs, upvote ratio, comment count, crosspost count, created + edited timestamps, permalink, external URL, domain, post-type flags (`is_self`, `is_video`, `over_18`, `spoiler`, `locked`, `stickied`, `pinned`, `archived`), distinguished status, removal category, link & author flair, thumbnail, media (images / video / gallery), awards, polls, crosspost source. **Use it when** — refreshing a stored dataset (yesterday's IDs → today's score / comment counts / edits / deletions), turning a list of links into structured records, hydrating IDs from your own search results. > **Note:** Posts are **always SFW** in this actor. NSFW (over-18) posts are not returned. There is no toggle. The SFW lock applies to **posts only** — comments, subreddits, and users are returned as-is regardless of any age-gating on the parent post or community. **Example I/O** Input — 3 posts in mixed formats (stripped ID, stripped ID, full URL): ```json { "endpoint": "bulk_posts", "bulk_posts_ids": "1jq3e8u\n1s4a4j6\nhttps://www.reddit.com/r/Wordpress/comments/1szbpra/" } ```` Output — one dataset row per resolved post. Sample row (`t3_1s4a4j6`, abridged): ```json { "endpoint": "bulk_posts", "id": "1s4a4j6", "name": "t3_1s4a4j6", "title": "Serious question: Which group smokes more crack? The new features team at Microsoft OR the wordpress team that created the block editor?", "author": "cwatty55", "author_fullname": "t2_1h4p4pztrx", "subreddit": "Wordpress", "subreddit_name_prefixed": "r/Wordpress", "subreddit_id": "t5_2qhjq", "score": 51, "ups": 51, "upvote_ratio": 0.73, "num_comments": 55, "num_crossposts": 0, "created_utc": 1774537763.0, "permalink": "https://reddit.com/r/Wordpress/comments/1s4a4j6/serious_question_which_group_smokes_more_crack/", "url": "https://www.reddit.com/r/Wordpress/comments/1s4a4j6/serious_question_which_group_smokes_more_crack/", "domain": "self.Wordpress", "is_self": true, "is_video": false, "over_18": false, "spoiler": false, "locked": false, "stickied": false, "archived": false, "link_flair_text": null, "selftext": "I'll go first … the WP team." } ``` 3 inputs → 3 rows in the dataset (one shown). Each row also carries ~80 other Reddit-native fields: full timestamps, all flair details, media (preview / images / video / gallery URLs), awards, removal flags, subreddit traffic counters, etc. *** #### 2. Bulk Comments Hydrate a list of Reddit comments. **Inputs** | Field | Notes | |---|---| | `bulk_comments_ids` | Comma- or newline-separated comment inputs. Up to **10000**. | **Accepted formats** — full IDs (`t1_lwbnv0t`), stripped IDs (`lwbnv0t`), and full URLs (`https://www.reddit.com/r/Wordpress/comments/1s4a4j6/comment/lwbnv0t/`). Mix freely. **Returns per comment** — ID, fullname, parent post fullname, parent comment ID, author + author fullname, body (markdown + HTML), score / ups / downs / controversiality, created + edited timestamps, permalink, OP flag (`is_submitter`), depth, stickied / distinguished / locked / archived / saved / gilded flags, score-hidden flag, subreddit, awards. **Use it when** — hydrating comment IDs from your own pipelines, comment archives, sentiment analysis on a known set of comments. **Example I/O** Input — 2 comments by stripped ID: ```json { "endpoint": "bulk_comments", "bulk_comments_ids": "c60n1vq\ncszv2lg" } ``` Output — one dataset row per resolved comment. Sample row (`t1_c60n1vq`, abridged): ```json { "endpoint": "bulk_comments", "id": "c60n1vq", "name": "t1_c60n1vq", "parent_id": "t1_c60lnxl", "link_id": "t3_z18if", "author": "dantheflyingman", "author_fullname": "t2_3tnl6", "body": "2.5m euro net / year", "score": 2, "ups": 2, "controversiality": 0, "created_utc": 1346271998.0, "edited": false, "permalink": "https://reddit.com/r/soccer/comments/z18if/official_qpr_sign_julio_cesar/c60n1vq/", "is_submitter": false, "depth": 1, "stickied": false, "distinguished": null, "score_hidden": false, "locked": false, "archived": true, "subreddit": "soccer", "subreddit_name_prefixed": "r/soccer", "subreddit_id": "t5_2qi58", "total_awards_received": 0 } ``` 2 inputs → 2 rows. Each row also carries `body_html`, full awards array, moderator-action fields (when authenticated), gilding counters, and the comment's flair payload. *** #### 3. Bulk Subreddits Hydrate a list of subreddits. **Inputs** | Field | Notes | |---|---| | `bulk_subreddits_ids` | Comma- or newline-separated subreddit inputs. Up to **10000**. | **Accepted formats** — subreddit names (`AskReddit`), prefixed names (`r/AskReddit`), full IDs (`t5_2qh1i`), and full URLs (`https://reddit.com/r/AskReddit`). Mix freely. **Returns per subreddit** — ID, fullname, display name (raw + prefixed), title, subscriber count, active user count, public + full description, created timestamp, language, type (public / private / restricted), NSFW flag, URL, header / icon / banner images, primary + key colors, submit text, allowed submission types (videos / images / polls / galleries). **Use it when** — subreddit comparison reports, community sizing, profile-page enrichment, building niche directories. **Example I/O** Input — 4 subreddits in mixed formats (name, fullname `t5_`, prefixed, full URL — note: `AskReddit` and `t5_2qh1i` resolve to the same community and are deduped): ```json { "endpoint": "bulk_subreddits", "bulk_subreddits_ids": "AskReddit\nt5_2qh1i\nr/wordpress\nhttps://reddit.com/r/learnprogramming" } ``` Output — one dataset row per resolved subreddit. Sample row (`r/Wordpress`, abridged): ```json { "endpoint": "bulk_subreddits", "id": "2qhjq", "name": "t5_2qhjq", "display_name": "Wordpress", "display_name_prefixed": "r/Wordpress", "title": "WordPress", "subscribers": 303115, "public_description": "The place for news, articles and discussion regarding WordPress, the open source software. Wordpress.com-related questions should be posted to https://wordpress.com/forums/.", "created_utc": 1205874670.0, "lang": "en", "subreddit_type": "public", "over18": false, "url": "/r/Wordpress/", "icon_img": "", "primary_color": "#00749a", "submission_type": "any", "allow_videos": false, "allow_images": true, "allow_polls": true, "allow_galleries": true } ``` 4 inputs → 3 rows (1 duplicate removed). Each row also carries the full description, banner/header image URLs, key color, public traffic flag, moderator-only fields when authenticated, and the rest of the ~80 native subreddit fields. *** #### 4. Bulk Users Hydrate a list of Reddit users. **Inputs** | Field | Notes | |---|---| | `bulk_users_ids` | Comma- or newline-separated user inputs. Up to **10000**. | **Accepted formats** — usernames (`spez`), prefixed names (`u/spez`), full IDs (`t2_1w72`), and profile URLs (`https://reddit.com/user/spez`). Mix freely. **Returns per user** — ID, name, total karma split into post / comment / award / awardee karma, account creation timestamp, employee / mod / Reddit-Gold / verified / verified-email flags, profile icon, snoovatar image, mini subreddit info, accept-followers flag, hide-from-robots flag. **Use it when** — CRM / lead enrichment from a list of usernames, account-quality scoring, finding which accounts are still alive, batch profile lookups for influencer research. **Example I/O** Input — 4 users in mixed formats (prefixed username, prefixed username, prefixed username, full ID): ```json { "endpoint": "bulk_users", "bulk_users_ids": "u/spez\nu/kn0thing\nu/AutoModerator\nt2_1w72" } ``` Output — one dataset row per resolved user. Sample row (`u/kn0thing`, abridged): ```json { "endpoint": "bulk_users", "id": "1wh0", "name": "kn0thing", "total_karma": 354066, "link_karma": 151900, "comment_karma": 202166, "awardee_karma": 0, "awarder_karma": 0, "created_utc": 1118030400.0, "is_employee": false, "is_mod": true, "is_gold": true, "verified": true, "has_verified_email": true, "icon_img": "https://styles.redditmedia.com/t5_3jgyq/styles/profileIcon_snoo58ef3487-7301-4cca-9ad4-44378bc398d0-headshot.png", "snoovatar_img": "https://i.redd.it/snoovatar/avatars/58ef3487-7301-4cca-9ad4-44378bc398d0.png", "accept_followers": true, "hide_from_robots": false, "pref_show_snoovatar": true } ``` 4 inputs → 4 rows. Each row also carries a nested `subreddit` block (the user's profile community: banner, icon, color, submit text), plus snoovatar size, employee/friend/verified flags, and award counters. > **Tip:** lookups by full Reddit ID (`t2_xxxx`) return a slimmer 8-field record (`id, name, created_utc, link_karma, comment_karma, profile_img, profile_color, profile_over_18`) because Reddit's ID-resolution endpoint is intentionally minimal. For full profiles, prefer usernames (`spez` / `u/spez`) or profile URLs. *** ### How to run 1. **Pick an endpoint** in the "What to fetch" dropdown — Bulk Posts, Bulk Comments, Bulk Subreddits, or Bulk Users. 2. **Open the matching section** and paste your IDs / names / URLs (comma- or newline-separated). **Up to 10000 entries per run** — duplicates are removed automatically. 3. **Click Start.** Default endpoint is **Bulk Posts** with a small prefilled list so the actor runs out of the box. *** ### Output Results are pushed to the actor's default dataset, **one record per item**. View as a table or download as JSON / CSV / Excel / XML. | Behavior | Detail | |---|---| | Record granularity | One dataset row per input item that resolved. | | `endpoint` tag | Every row carries the `endpoint` field for downstream routing. | | Column order | Most useful columns (id, title / name, score / karma, created date) placed first. | | Unresolved IDs | Silently dropped — compare input count vs dataset row count to spot misses. | | Mixed formats | `1s4a4j6`, `t3_1s4a4j6`, full URL all resolve to the same item. Mix freely. | *** ### Status & error reference **Run status** *(Apify-side, shown on the run page)* | Status | Apify message | Meaning | What to do | |---|---|---|---| | Succeeded | "Actor succeeded with N results in the dataset" | Run finished. Some or zero results pushed. | Open the dataset to view results. | | Failed | "The Actor process failed…" | Validation error or upstream Reddit fault. | Check the run log. You are NOT charged for failed runs. | | Timed out | "The Actor timed out. You can resurrect it with a longer timeout to continue where you left off." | Run exceeded its timeout. | Re-run with a smaller list (≤10000 per run). | | Aborted | "The Actor process was aborted. You can resurrect it to continue where you left off." | You stopped the run manually. | No charge for unpushed results. | **Common in-run conditions** *(visible in run log)* | Condition | Cause | Result | |---|---|---| | Empty result set | None of the inputs resolved (all deleted / banned / typoed). | Run `SUCCEEDED`, 0 records, no charge. | | Some IDs dropped | Subset deleted / banned / not found. | Run `SUCCEEDED`, fewer rows than inputs. | | NSFW posts skipped | Bulk Posts endpoint and some inputs were NSFW. | Run `SUCCEEDED`, NSFW posts excluded. | | Validation error: `endpoint` is required | Missing `endpoint`. | Run `FAILED` immediately, no charge. | | Validation error: list too long | More than 10000 entries. | Run `FAILED` immediately, no charge. | *** ### Common edge cases - **Deleted / banned items** — returned with whatever metadata Reddit still exposes (often a stub with `removed_by_category`). - **Private subreddits** — not accessible. Reddit gates them behind a logged-in account and they're skipped. - **Quarantined content** — not returned. Reddit hides quarantined posts/communities from anonymous calls. - **IDs that don't resolve** — silently dropped. - **Mixed formats** — accepted, no normalization needed on your side. - **NSFW posts** — never returned (this actor is SFW-only for posts). Comments / subreddits / users on NSFW communities are returned normally. *** ### Why this actor is fast - **Speed — large runs scale linearly and finish in minutes, not hours.** No browser to boot, no Playwright / Selenium / Puppeteer overhead. Competing browser-based scrapers typically take 15–60 seconds per item. - **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 — well under the 512 MB allocation, even on full 10000-item runs.** Most browser-based scrapers need 1–4 GB. *** ### Pricing **$1.99 per 1,000 results.** Pay-per-result — you're only charged for records actually pushed to the dataset. | Volume | Cost | |---|---| | 100 records | ~$0.20 | | 500 records | ~$1.00 | | 1,000 records | $1.99 | | 1,500 records | ~$2.99 | | 10,000 records (one full run) | ~$19.90 | | Outcome | Charged? | |---|---| | `SUCCEEDED` with results | Yes — $1.99 per 1,000 records 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 live rate — this README is the source of truth at publish time but the Pricing tab always reflects the current price. *** ### Need a different shape of data? - **[Reddit Bulk Scrape V2](https://apify.com/red_crawler/reddit-bulk-scrape-v2)** — the v2 successor with richer payloads and dedicated bulk-by-ID endpoints (posts, comments, communities, profiles by ID, profiles by name) - **[Reddit Scraper V2](https://apify.com/red_crawler/reddit-scrape-v2)** — single & bulk reads for posts, comments, profiles, communities (15 endpoints) - **[Reddit Posts](https://apify.com/red_crawler/reddit-posts)** — front-page feed, crosspost duplicates, pinned posts - **[Reddit Users](https://apify.com/red_crawler/reddit-users)** — single-user lookups with profile + trophies + posts + comments - **[Reddit Subreddits](https://apify.com/red_crawler/reddit-subreddits)** — subreddit info, browse, listings, autocomplete (12 ops) *** ### Support and feedback Found a bug, want a feature, or hit a Reddit error code we don't translate clearly? Open an issue via the actor's Apify Console feedback link, or reach out at the RedCrawler support channel. *** *Reddit Bulk Scrape is part of the RedCrawler family of Reddit actors. RedCrawler is independent — not affiliated with, endorsed by, or sponsored by Reddit, Inc. Use it within Reddit's API terms.* # Actor input Schema ## `endpoint` (type: `string`): Choose which bulk lookup to run. ## `bulk_posts_ids` (type: `string`): Comma- or newline-separated post inputs. Up to 10000. ## `bulk_comments_ids` (type: `string`): Comma- or newline-separated comment inputs. Up to 10000. ## `bulk_subreddits_ids` (type: `string`): Comma- or newline-separated subreddit inputs. Up to 10000. ## `bulk_users_ids` (type: `string`): Comma- or newline-separated user inputs. Up to 10000. ## Actor input object example ```json { "endpoint": "bulk_posts", "bulk_posts_ids": "1jq3e8u, 1s4a4j6, https://www.reddit.com/r/Wordpress/comments/1szbpra/", "bulk_comments_ids": "c60n1vq, cszv2lg", "bulk_subreddits_ids": "AskReddit, t5_2qh1i, r/wordpress, https://reddit.com/r/learnprogramming", "bulk_users_ids": "spez, kn0thing, u/AutoModerator, https://reddit.com/user/spez" } ``` # Actor output Schema ## `results` (type: `string`): Default dataset containing all fetched items. Open in Output tab and choose the view that matches the endpoint you ran. # 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": "bulk_posts", "bulk_posts_ids": "1jq3e8u, 1s4a4j6, https://www.reddit.com/r/Wordpress/comments/1szbpra/", "bulk_comments_ids": "c60n1vq, cszv2lg", "bulk_subreddits_ids": "AskReddit, t5_2qh1i, r/wordpress, https://reddit.com/r/learnprogramming", "bulk_users_ids": "spez, kn0thing, u/AutoModerator, https://reddit.com/user/spez" }; // Run the Actor and wait for it to finish const run = await client.actor("red_crawler/reddit-bulk-scrape").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": "bulk_posts", "bulk_posts_ids": "1jq3e8u, 1s4a4j6, https://www.reddit.com/r/Wordpress/comments/1szbpra/", "bulk_comments_ids": "c60n1vq, cszv2lg", "bulk_subreddits_ids": "AskReddit, t5_2qh1i, r/wordpress, https://reddit.com/r/learnprogramming", "bulk_users_ids": "spez, kn0thing, u/AutoModerator, https://reddit.com/user/spez", } # Run the Actor and wait for it to finish run = client.actor("red_crawler/reddit-bulk-scrape").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": "bulk_posts", "bulk_posts_ids": "1jq3e8u, 1s4a4j6, https://www.reddit.com/r/Wordpress/comments/1szbpra/", "bulk_comments_ids": "c60n1vq, cszv2lg", "bulk_subreddits_ids": "AskReddit, t5_2qh1i, r/wordpress, https://reddit.com/r/learnprogramming", "bulk_users_ids": "spez, kn0thing, u/AutoModerator, https://reddit.com/user/spez" }' | apify call red_crawler/reddit-bulk-scrape --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=red_crawler/reddit-bulk-scrape", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Reddit Bulk Scrape 10000 IDs V1 — Posts, Comments, Subs, Users", "description": "Bulk-hydrate up to 10,000 Reddit posts, comments, subreddits, or users per run. Paste IDs, names, or URLs — get one full record per item. No Reddit account, OAuth, or proxy required. Mix formats freely; duplicates auto-removed. $1.99 per 1,000 results.", "version": "1.10", "x-build-id": "VNygBuIMn9qBZsTRg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/red_crawler~reddit-bulk-scrape/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-red_crawler-reddit-bulk-scrape", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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-bulk-scrape/runs": { "post": { "operationId": "runs-sync-red_crawler-reddit-bulk-scrape", "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-bulk-scrape/run-sync": { "post": { "operationId": "run-sync-red_crawler-reddit-bulk-scrape", "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": [ "bulk_posts", "bulk_comments", "bulk_subreddits", "bulk_users" ], "type": "string", "description": "Choose which bulk lookup to run.", "default": "bulk_posts" }, "bulk_posts_ids": { "title": "Post IDs / URLs", "type": "string", "description": "Comma- or newline-separated post inputs. Up to 10000." }, "bulk_comments_ids": { "title": "Comment IDs / URLs", "type": "string", "description": "Comma- or newline-separated comment inputs. Up to 10000." }, "bulk_subreddits_ids": { "title": "Subreddit names / IDs / URLs", "type": "string", "description": "Comma- or newline-separated subreddit inputs. Up to 10000." }, "bulk_users_ids": { "title": "Usernames / IDs / URLs", "type": "string", "description": "Comma- or newline-separated user inputs. Up to 10000." } } }, "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 } } } } } } } } } } ```