Pricing

from $1.10 / 1,000 results

Reddit Search Scraper V2

Reddit Search Scraper V2 — cached data source (results may lag up to ~1.5h). Structured JSON, no login, no API key. For real-time data use the V1 actor.

Pricing

from $1.10 / 1,000 results

Rating

0.0

(0)

Developer

MYM

Actor stats

Bookmarked

Total users

Monthly active users

an hour ago

Last modified

What can Reddit Search Scraper V2 do? {#what-can-reddit-search-scraper-v2-do}

Reddit Search Scraper V2 turns any Reddit keyword search into a structured dataset. Type in one or more keywords, choose what you want back — posts, communities, users, or media — and the scraper returns clean, ready-to-use data you can pipe into a spreadsheet, database, dashboard, or AI agent. It lets you scrape Reddit search results at scale and go beyond the limitations of the official Reddit API.

There is no API key to register for, no OAuth, and no login — no cookies or account required. You do not manage tokens, cookies, or proxies. Paste your keywords, hit start, and collect the data. Get your first results free in under 2 minutes. Everything is handled for you.

This is the V2 (cached) edition. Results are served from a continuously refreshed snapshot, which keeps runs fast and stable at scale; freshly posted content may lag by up to roughly 1.5 hours. If you need up-to-the-second data, use the real-time Reddit Search Scraper (V1).

✅ Scrape Reddit search results by keyword — no account required

Run one keyword or a whole list of them in a single job. Every query is executed independently, so a run like ["python developer", "machine learning", "data engineering"] returns results for all three in one clean dataset. You can scrape many Reddit searches at once with no limitations on requests — no sign-up, no API key, no scraping code to maintain.

🗂️ Search posts, communities, users, or media

The searchFor option controls what each query returns:

Posts — matching threads with title, body text, score, comments, and metadata.
Communities — subreddits that match your keyword.
Users — Reddit accounts that match your keyword.
Media posts only — narrow results to posts that contain images or video.

Mix and match as many types as you want in a single run.

💬 Full post text and rich metadata

For posts, you get the title, the full selftext body (optional), flair, score, upvote ratio, number of comments, author, subreddit, timestamps, NSFW flag, and more — everything you need to analyze a conversation without opening a browser.

📊 Precise sorting and time windows

Sort results by Relevance, New, Hot, Top, or Most comments, and restrict them to a time window: past hour, 24 hours, week, month, year, or all time. This makes it trivial to pull "the most-commented posts about X in the last month" or "brand-new mentions in the last hour."

🔄 Subreddit targeting

Restrict any query to specific subreddits with searchInSubreddits. Search "pricing" only inside ["SaaS", "Entrepreneur"] and skip the noise from the rest of Reddit.

⚡ Built for automation and AI agents

Structured output plugs straight into Make, Zapier, n8n, Slack, Airbyte, Gumloop, CrewAI, IFTTT, Lindy, GitHub, Google Sheets, and Google Drive — or directly into an LLM agent through the Apify MCP server. Schedule it, chain it, and let it run unattended. Fast response times deliver fresh data in seconds 🚀

Use Reddit Search Scraper V2 with AI agents — Claude, ChatGPT & Cursor (MCP) {#use-with-ai-agents-mcp}

Reddit Search Scraper V2 is available through the Apify MCP server, so AI agents and assistants can call it as a tool and act on the results themselves.

Claude (Claude Desktop, Claude Code) — add the Apify MCP server and let Claude scrape Reddit searches, then summarize, cluster, or extract insights from the returned posts.
ChatGPT / Codex — expose the scraper as a tool so the model can gather live Reddit context before answering.
Cursor — call the scraper from inside your editor while building Reddit-powered features or research pipelines.

Once results land in a dataset, you can push them onward through Apify's other MCP connectors — Slack, Notion, Airtable, Google Sheets, Zapier, Make, and n8n — so an agent can search Reddit and drop a digest into your team's tools without any glue code.

Typical agent prompt: "Search Reddit for the 20 most-commented posts about 'ai coding assistant' from the past month and give me the top complaints." The agent calls this actor, reads the dataset, and answers.

How to scrape Reddit search results {#how-to-scrape-reddit-search-results}

Open Reddit Search Scraper V2 on Apify.
Add one or more keywords to Search queries (searchQueries), e.g. python developer.
Choose what each query returns under Search for (searchFor) — Posts, Communities, Users, and/or Media.
(Optional) Restrict to specific subreddits with Restrict to subreddits (searchInSubreddits).
Pick a Sort order and a Time range.
Set Max items (maxItems) and Max results per query (maxPostsPerSource) to control volume.
Click Start. When the run finishes, open the Dataset tab and export to JSON, CSV, Excel, or XML, or fetch it via API.

No cookies, no proxy setup, no API credentials — the scraper handles all of it for you.

What data can you scrape from Reddit search? {#what-data-can-you-scrape-from-reddit-search}

Each post result you scrape from Reddit includes the following fields (media, community, and user results include the relevant subset):

Field	Type	Description
`id`	string	Reddit fullname ID of the item (e.g. `t3_1kqb7x0`).
`type`	string	Item type: `post`, `community`, `user`, or `media`.
`title`	string	Post title (or community/user name).
`url`	string	Canonical Reddit URL of the item.
`author`	string	Username of the post author.
`subreddit`	string	Subreddit the post belongs to.
`selftext`	string	Full body text of the post (when included).
`flair`	string	Post flair / tag.
`score`	integer	Net upvotes.
`upvoteRatio`	number	Ratio of upvotes to total votes (0–1).
`numComments`	integer	Number of comments on the post.
`nsfw`	boolean	Whether the item is flagged over-18 / NSFW.
`spoiler`	boolean	Whether the post is marked as a spoiler.
`isSelf`	boolean	Whether it is a text (self) post.
`domain`	string	Domain of the linked content (e.g. `self.Monitors`).
`outboundUrl`	string	External link target for link posts.
`thumbnail`	string	Thumbnail image URL, if any.
`gilded`	integer	Number of awards received.
`stickied`	boolean	Whether the post is pinned.
`archived`	boolean	Whether the thread is archived.
`edited`	boolean	Whether the post was edited.
`createdUtc`	string	ISO timestamp of when the item was created.
`createdUtcEpoch`	integer	Unix epoch (seconds) of creation.
`scrapedAt`	string	ISO timestamp of when the item was collected.

All fields are publicly available data — the scraper only collects what anyone can see on Reddit without logging in.

Use cases {#use-cases}

Market & product research — track how people discuss a product, category, or competitor across Reddit.
Lead generation & talent sourcing — search for people asking about a problem you solve, or find candidates in niche subreddits.
Brand & reputation monitoring — surface new mentions of your brand, sorted by New, in near real time.
Content & SEO research — discover the highest-engagement questions and threads around a topic.
Trend detection — pull "Top" posts of the past week/month to see what is gaining traction.
Community discovery — find the most relevant subreddits for a keyword before you launch a campaign.
Competitor analysis & campaign tracking — monitor discussion volume and sentiment shifts over time.
AI / RAG pipelines — feed structured Reddit discussions into LLM agents and knowledge bases.
Academic & social research — collect discussion datasets around a theme for analysis.

Search examples

Basic keyword search (posts)

{
  "searchQueries": ["python developer"],
  "searchFor": ["posts"],
  "sort": "relevance",
  "time": "month",
  "maxItems": 50
}

Scrape multiple keywords at once

{
  "searchQueries": ["machine learning", "data engineering", "mlops"],
  "searchFor": ["posts"],
  "sort": "top",
  "time": "year",
  "maxItems": 100,
  "maxPostsPerSource": 40
}

Restrict a search to specific subreddits

{
  "searchQueries": ["pricing"],
  "searchInSubreddits": ["SaaS", "Entrepreneur"],
  "searchFor": ["posts"],
  "sort": "comments",
  "time": "month"
}

Find communities and users, not posts

{
  "searchQueries": ["mechanical keyboard"],
  "searchFor": ["communities", "users"],
  "maxItems": 40
}

Media-only search, newest first, including NSFW

{
  "searchQueries": ["landscape photography"],
  "searchFor": ["media"],
  "sort": "new",
  "time": "week",
  "includeNSFW": true,
  "includeSelftext": false
}

Input reference

Field	Type	Default	Description
`searchQueries`	array of strings	`["python developer"]`	Keywords to search. Each query runs for every selected type.
`searchFor`	array	`["posts"]`	Which entity types each query returns: `posts`, `communities`, `users`, `media`.
`searchInSubreddits`	array of strings	–	If set, each query is restricted to these subreddits.
`sort`	string	`relevance`	Ordering: `relevance`, `new`, `hot`, `top`, `comments`.
`time`	string	`all`	Time window: `hour`, `day`, `week`, `month`, `year`, `all`.
`includeSelftext`	boolean	`true`	Include the body text of matched posts.
`includeNSFW`	boolean	`false`	Include results flagged over-18 / NSFW.
`maxItems`	integer	`50`	Hard cap on total results saved (1–100).
`maxPostsPerSource`	integer	`25`	Cap on results kept per query (1–100).
`maxRetries`	integer	`3`	Retry attempts per failed request (0–6).
`requestDelayMs`	integer	`300`	Politeness delay between requests, in ms (0–10000).
`debug`	boolean	`false`	Emit verbose logs.

Limiting results {#limits}

Two fields control how much data a run collects:

maxItems — a hard cap on the total number of results saved to the dataset. Default 50, maximum 100.
maxPostsPerSource — a cap on how many results are kept per query. Default 25, maximum 100. Useful when you run many keywords and want each to be represented evenly.

A single run lasts at most ~10 minutes, and only one long-running job runs at a time. To gather large volumes, split your keywords across several runs or schedule the scraper to run repeatedly.

Example — cap the whole run at 100 results but keep at most 20 per keyword:

{
  "searchQueries": ["startup", "founder", "bootstrapped"],
  "searchFor": ["posts"],
  "maxItems": 100,
  "maxPostsPerSource": 20
}

Output example {#output-example}

A single post result you scrape from Reddit search looks like this:

{
  "id": "t3_1kqb7x0",
  "url": "https://www.reddit.com/r/Monitors/comments/1kqb7x0/best_monitor_for_mac/",
  "nsfw": false,
  "type": "post",
  "flair": "Discussion",
  "score": 0,
  "title": "Best monitor for Mac?",
  "author": "EstablishmentBig3345",
  "domain": "self.Monitors",
  "edited": false,
  "gilded": 0,
  "isSelf": true,
  "spoiler": false,
  "archived": false,
  "selftext": "I require 4K resolution, preferably 32 inch, but considering 27 inch too. Will mainly be used for work (Excel, python, trading charts, docs), casual gaming with Xbox Series S, and also YouTube and Netflix.",
  "stickied": false,
  "scrapedAt": "2026-07-19T18:12:14.891Z",
  "subreddit": "Monitors",
  "thumbnail": "",
  "createdUtc": "2025-05-19T13:06:34.000Z",
  "sourceType": "reddit",
  "numComments": 1,
  "outboundUrl": "",
  "upvoteRatio": 0.5,
  "createdUtcEpoch": 1747659994
}

Every run produces a dataset of items like this, exportable as JSON, CSV, Excel, or XML (as well as HTML and RSS) from the Apify Console or via the API.

How much does scraping Reddit search cost? {#how-much-does-scraping-reddit-search-cost}

Reddit Search Scraper V2 uses a simple pay-per-result model: you are billed for the data you actually collect, so a small search costs a small amount and a large one scales linearly. There are no monthly minimums and no separate charges for proxies or API access — everything is included.

Because V2 serves cached results, runs are fast and efficient, which keeps the cost per result low compared with real-time crawling. Use maxItems and maxPostsPerSource to keep every run predictable and on budget.

You also get the free monthly usage credits included with the Apify Free plan to try it out — get your first results free in under 2 minutes.

Integrate Reddit search data with n8n, Zapier, and Make {#integrations}

Reddit Search Scraper V2 works with any tool that can call an HTTP endpoint, and has native integrations for n8n, Zapier, and Make. You can also drive it directly from the Apify API.

Run synchronously and get results (small jobs)

curl -X POST "https://api.apify.com/v2/acts/myagizm~reddit-search-scraper-v2/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["python developer"],
    "searchFor": ["posts"],
    "sort": "top",
    "time": "month",
    "maxItems": 50
  }'

Start a run asynchronously (larger jobs)

curl -X POST "https://api.apify.com/v2/acts/myagizm~reddit-search-scraper-v2/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchQueries": ["machine learning", "mlops"],
    "searchFor": ["posts", "communities"],
    "maxItems": 100
  }'

Then fetch the results once the run finishes:

$curl "https://api.apify.com/v2/acts/myagizm~reddit-search-scraper-v2/runs/last/dataset/items?token=YOUR_APIFY_TOKEN&format=json"

For n8n, use the Apify node (or a generic HTTP Request node) pointed at the endpoints above. For Zapier and Make, use the Apify app and select this actor. See the Apify API docs for pagination and dataset options.

Want other Reddit data? {#want-other-reddit-data}

Reddit Search Scraper V2 is part of a full family of Reddit scrapers by myagizm. Pick the one that matches the data you need:

Reddit Scraper V2 — the all-in-one Reddit scraper for posts, comments, and subreddits.
Reddit Subreddit Scraper V2 — scrape posts from any subreddit's feed.
Reddit Comment Scraper V2 — extract full comment trees from any post.
Reddit Profile Scraper V2 — scrape a user's posts and activity.
Reddit Community Scraper V2 — get subreddit metadata and stats.

Need real-time data instead of the cached V2? Try the Reddit Search Scraper (V1).

Support {#support}

Questions, feature requests, or a field you wish the scraper returned? Open an issue on the actor's Issues tab on Apify. Bug reports and suggestions are welcome and help improve the scraper.

FAQ {#faq}

Do I need a Reddit account or API key to scrape Reddit search?

No. There is no login, no OAuth, and no API key — no cookies or account required. You add keywords and run the scraper — everything else is handled for you.

Is it legal to scrape Reddit search results?

The scraper collects publicly available information that anyone can see without logging in. As with any scraping, you are responsible for how you use the data — respect copyright, privacy laws (such as GDPR), and Reddit's terms. Do not use the data for unlawful purposes.

What's the difference between V2 and V1?

V2 serves results from a continuously refreshed cache, which makes it fast and stable at scale; new content may lag by up to ~1.5 hours. V1 (Reddit Search Scraper) fetches real-time data. Choose V2 for volume and V1 for freshness.

How fresh is the scraped Reddit data?

V2 results reflect a snapshot that is refreshed continuously; the most recently posted content can be delayed by roughly 1.5 hours. For up-to-the-second results, use V1.

Can I use Reddit Search Scraper V2 with the Apify API?

Yes. Start runs and fetch datasets through the Apify API using the endpoints shown in the Integrations section (actor path myagizm~reddit-search-scraper-v2). Sync and async run modes are both supported.

Can I get Reddit search data through an MCP server (AI agents)?

Yes. The scraper is available through the Apify MCP server, so Claude, ChatGPT/Codex, and Cursor can call it as a tool and reason over the results.

Do I need proxies to scrape Reddit?

No. Proxy handling and everything else needed to collect the data is built in. You never touch a proxy or cookie.

Can I integrate Reddit search data with other apps?

Yes. Connect the output to Make, Zapier, n8n, Slack, Airbyte, Gumloop, CrewAI, IFTTT, Lindy, GitHub, Google Sheets, and Google Drive, or any tool that can call an HTTP endpoint.

Can I search more than one keyword at a time?

Yes. Add as many keywords as you like to searchQueries; each runs independently and all results land in one dataset. Use maxPostsPerSource to balance how many results each keyword contributes.

Can I restrict the search to specific subreddits?

Yes. Use searchInSubreddits to limit every query to a list of subreddits (e.g. ["SaaS", "Entrepreneur"]).

Can I scrape communities or users instead of posts?

Yes. Set searchFor to include communities, users, or media — alone or together with posts.

How do I control the number of results?

Use maxItems for a hard cap on the whole run (max 100) and maxPostsPerSource for a per-query cap (max 100).

Can I sort results and pick a time range?

Yes. sort supports relevance, new, hot, top, and comments. time supports hour, day, week, month, year, and all.

Can I export the scraped data to CSV, Excel, or JSON?

Yes. Every dataset can be exported as JSON, CSV, Excel, or XML (plus HTML and RSS) from the Apify Console, or fetched via the API in any of these formats.

Can I scrape data from private accounts or subreddits?

No. The scraper only collects publicly available data. Private, quarantined, or banned communities and private accounts are not accessible.

Can I schedule the Reddit search scraper to run automatically?

Yes. Use Apify Schedules to run the scraper on any cadence — hourly, daily, or weekly — and have fresh results delivered to your integrations via webhooks.

Can I exclude NSFW content?

NSFW results are excluded by default (includeNSFW: false). Set it to true if you want them included.

Why is a very recent post missing?

Because V2 is cached, brand-new content may not appear for up to ~1.5 hours. Use V1 if you need it immediately.

reddit search scraper · reddit keyword search api · reddit brand mention monitoring · search reddit comments · reddit buying signals · reddit social listening · scrape reddit search results · reddit competitive intelligence · reddit keyword monitoring · reddit search api alternative · reddit mention tracker · reddit prospecting tool

Disclaimer

This is an independent tool and is not affiliated with, endorsed by, or sponsored by Reddit. All product names, logos, and brands are property of their respective owners. Use this scraper responsibly and only to collect publicly available data, in compliance with applicable laws and Reddit's terms.

Resources {#resources}

中文说明 —— Reddit 关键词搜索抓取工具（V2）

V2 = 托管交付线。 本 Actor 为 V2：运行在托管基础设施上，交付更稳定、字段更全。若只需要最低价的尽力而为版本，同一功能的 V1 版本也在商店主页。

免登录抓取 Reddit 公开数据 —— 按关键词在全站或指定版块内搜索帖子与评论。不需要 Reddit API Key、不需要 OAuth 应用、不需要登录或 Cookie。结果可导出为 JSON、CSV、Excel、XML，也可通过 Apify API 定时运行并接入 n8n、Zapier、Make 等工具。

两分钟内免费拿到第一批数据 —— 填入内容、点击 Start 即可。无需配置，试用不需要信用卡。

能做什么

🔎 关键词搜索：可搜帖子，也可搜评论（searchFor）。
🎯 限定版块搜索（searchInSubreddits），把噪音降到最低。
🔀 排序与时间范围：relevance / new / hot / top / comments × hour…all。
📝 可选帖子正文与🔞成人内容开关。
🗓️ 日期截断，只保留最近命中。
🏷️ 每行记录来源查询，多关键词运行也能拆分。
📏 maxItems / maxPostsPerSource 精确控制成本。

谁在用

🏢 品牌与声誉监测 —— 追踪品牌被提及的每一处。
💼 销售线索 —— 搜「求推荐」「有没有替代品」这类购买信号。
📊 竞品情报 —— 看用户如何比较你和对手。
🧠 内容与 SEO —— 找出真实用户在问的问题。
🧑‍💻 NLP 团队 —— 按主题构建语料。

可以抓取哪些数据

字段	类型	说明
`id`	string	记录 ID（帖子如 `t3_...`，评论如 `t1_...`）
`type`	string	记录类型（`post` / `comment` / `user` / `community`）
`title`	string	帖子标题
`url`	string	永久链接
`author`	string	作者用户名
`subreddit`	string	所属子版块
`selftext`	string	帖子正文（开启 Include post text 时返回）
`flair`	string	帖子 flair 标签
`score`	integer	抓取时的净赞数
`upvoteRatio`	number	赞同比例（0–1）
`numComments`	integer	评论数
`nsfw`	boolean	是否标记为成人内容
`spoiler`	boolean	是否标记为剧透
`isSelf`	boolean	是否为纯文本自帖
`domain`	string	来源域名（如 `self.AskReddit`、`i.redd.it`）
`outboundUrl`	string	帖子指向的链接（外链帖为外部地址，自帖为永久链接）
`thumbnail`	string	缩略图地址
`gilded`	integer	是否获得奖励
`stickied`	boolean	是否在版块内置顶
`archived`	boolean	是否已归档
`edited`	boolean	是否被编辑过
`createdUtc`	string	创建时间（ISO 8601，UTC）
`createdUtcEpoch`	integer	创建时间（Unix 时间戳）
`scrapedAt`	string	该行的抓取时间（ISO 8601）

字段取决于该条目公开了什么；不存在的值返回 null，数据结构保持稳定。

输入示例

{
  "searchQueries": ["python developer"],
  "searchFor": ["posts"],
  "sort": "relevance",
  "time": "month",
  "maxItems": 50
}

输出示例

{
  "id": "t3_1kqb7x0",
  "url": "https://www.reddit.com/r/Monitors/comments/1kqb7x0/best_monitor_for_mac/",
  "nsfw": false,
  "type": "post",
  "flair": "Discussion",
  "score": 0,
  "title": "Best monitor for Mac?",
  "author": "EstablishmentBig3345",
  "domain": "self.Monitors",
  "edited": false,
  "gilded": 0,
  "isSelf": true,
  "spoiler": false,
  "archived": false,
  "selftext": "I require 4K resolution, preferably 32 inch, but considering 27 inch too. Will mainly be used for work (Excel, python, trading charts, docs), casual gaming with Xbox Series S, and also YouTube and Netflix.",
  "stickied": false,
  "scrapedAt": "2026-07-19T18:12:14.891Z",
  "subreddit": "Monitors",
  "thumbnail": "",
  "createdUtc": "2025-05-19T13:06:34.000Z",
  "sourceType": "reddit",
  "numComments": 1,
  "outboundUrl": "",
  "upvoteRatio": 0.5,
  "createdUtcEpoch": 1747659994
}

价格

采用按结果计费：只为真正拿到的数据付费，不按运行时间收费。

💸 成本 = 结果数量 × 单价，预算可提前算清。
📉 Apify 的 Bronze / Silver / Gold / Platinum / Diamond 套餐享阶梯折扣。
🆓 新账号自带每月免费额度，第一次运行不花钱。
🚫 无代理附加费、无单次请求费、无最低消费。

实时价格见 Apify 商店页面。

使用建议

🔍 用精确短语（加引号）做品牌监测，宽泛词噪音大。
🎯 先用 searchInSubreddits 锁定几个相关版块，质量远高于全站搜。
🗓️ 危机监测用 new + 小时级时间范围，常规研究用 top + 月/年。
🆔 定时运行时按 id 去重，只处理新命中。
🤖 把命中结果送入大模型自动打情感与意图标签。

其他 Reddit 数据

🤖 Reddit 综合抓取 —— 子版块 / 用户 / 社区 / 搜索四合一。
🔎 Reddit 搜索抓取 —— 全站或指定版块关键词搜索。
🏘️ 子版块抓取 —— 按版块抓帖子。
💬 评论抓取 —— 可控深度的评论采集。
📇 社区信息抓取 —— 版块规模与简介。
👤 用户资料抓取 —— karma、账号年龄、徽章。

其他平台同样采用免登录、按结果计费的方式：Instagram · TikTok · X（推特） · LinkedIn · YouTube · Google 地图。完整工具家族见 myagizm 商店主页。

配合 AI 智能体使用（MCP）

本 Actor 已接入 Apify MCP 服务器，Claude、ChatGPT、Cursor 等助手可以把它当作工具直接调用，用自然语言提问即可拿到结构化结果，无需写胶水代码。

集成与 API

支持 Make、Zapier、n8n、Slack、Airbyte、Gumloop、CrewAI、IFTTT、Lindy、GitHub、Google Sheets、Google Drive，以及 Webhook、定时任务与 MCP 服务器。

curl -X POST "https://api.apify.com/v2/acts/myagizm~reddit-search-scraper-v2/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searchQueries": ["python developer"],
  "searchFor": ["posts"],
  "sort": "relevance",
  "time": "month",
  "maxItems": 50
}'

把 format 改成 json、csv、xlsx 或 xml 即可导出不同格式。

常见问题

需要 Reddit API Key 或登录吗？ 不需要。没有 API Key、没有 OAuth 应用、不登录、不用 Cookie。

抓取 Reddit 合法吗？ 只采集公开可见的数据，即任何未登录访客都能看到的内容。不登录、不访问私密版块或私信。合规责任由使用者承担：如涉及个人数据请遵守 GDPR / CCPA 与平台条款。

能抓私密版块或已删除内容吗？ 不能，会被跳过并记录在运行日志中。

需要配置代理吗？ 不需要，已内置托管。

支持导出 CSV / Excel / JSON 吗？ 支持 JSON、CSV、Excel、XML。

可以通过 Apify API 调用吗？ 可以，见上方示例。

支持 AI 智能体（MCP）吗？ 支持，Claude、ChatGPT、Cursor 均可当作工具调用。

可以定时运行吗？ 可以，支持 Apify Schedules、API 与 Webhook；按 id 去重即可实现增量采集。

V1 和 V2 有什么区别？ V1 轻量自包含、价格最低、尽力而为；V2 运行在托管基础设施上，交付更稳定、字段更全。两者输入基本一致，可以先用 V1 广筛、再用 V2 精查。

数据有多新？ 不缓存，每次运行都读取当前公开页面。

免责声明

本工具为独立第三方工具，与 Reddit, Inc. 无任何隶属、认可或赞助关系，所有商标归各自所有者。

本 Actor 只采集公开可见的数据，不登录、不绕过访问控制、不获取私密内容。数据使用的合规责任由使用者承担。