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Reddit Scraper V2

Reddit 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.

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from $1.10 / 1,000 results

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

Reddit Scraper V2 lets you scrape Reddit posts, comments, user activity, and community metadata from Reddit with no API key, no login, and no cookies or account required. Give it subreddits, search queries, user names, or plain Reddit URLs — get back clean, structured records you can export to JSON, CSV, Excel, or XML.

This scraper is built to go beyond the limitations of the official Reddit API: no OAuth app, no per-app rate quota, and no request caps to juggle. Scrape Reddit at scale, pull many subreddits at once, and build datasets from publicly available data in minutes.

Get your first results free in under 2 minutes — paste a subreddit like AskReddit, click Start, and watch structured posts stream into your dataset.

V2 vs V1 — V2 reads from a cached data layer (results may lag up to ~1.5 h) and is ideal for bulk historical pulls, search, and dataset building at high throughput. If you need real-time, up-to-the-second posts, use the Reddit Scraper V1 actor.

No Reddit account, no OAuth app, no cookies or account required. Paste what you want to scrape and run.

🗂️ Scrape entire subreddits

Pull recent, hot, top, rising, or controversial posts from any public subreddit — scrape one or many subreddits at once, with per-source and global limits.

💬 Scrape complete Reddit comment threads

Optionally expand comment trees per post, with configurable max comments and max depth — great for sentiment and discussion analysis.

🔎 Scrape Reddit search results

Search across all of Reddit or restrict to specific subreddits, then filter by keyword, sort, time range, and date.

👤 Scrape Reddit user profiles

Collect a user's recent posts and comments by username — no login required.

📊 Rich, structured Reddit data

Every post/comment comes back with score, author, subreddit, timestamps (ISO + epoch), flair, media URLs, NSFW flag, comment counts, and more.

🔄 Export scraped Reddit data anywhere

Download as JSON, CSV, Excel, or XML, or stream results through the Apify API into your own pipeline — no limitations on requests.

⚡ Fast, fresh data at scale

Multiple sources (subreddits, searches, users, URLs) are fetched concurrently, so large jobs finish in seconds to minutes, not hours.

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

Reddit Scraper V2 is exposed through the Apify MCP server, so AI agents can call it directly as a tool to scrape Reddit — no glue code.

Claude / Claude Desktop — add the Apify MCP server and the agent can scrape Reddit on demand.
ChatGPT / Codex — call the actor as a tool inside your agent loop.
Cursor — pull live Reddit context into your editor.

Point your MCP client at:

https://mcp.apify.com

…and enable the myagizm/reddit-scraper-v2 tool. The agent supplies the input (subreddits, queries, users) and receives structured JSON back.

Send scraped Reddit data straight into Slack, Notion, Airtable & more {#mcp-connectors}

Combine with Apify integrations to push scraped Reddit data into Make, Zapier, n8n, Slack, Notion, Airtable, Airbyte, Gumloop, CrewAI, IFTTT, Lindy, GitHub, Google Sheets, and Google Drive — no custom code required.

How to scrape Reddit without the API {#how-to-scrape-reddit}

Open Reddit Scraper V2 on Apify.
Choose your input to scrape Reddit — subreddits, search queries, users, or paste Reddit URLs.
Set limits (maxItems, maxPostsPerSource) and toggle comments/media if you need them.
Click ▶ Start (or call the API / MCP tool).
Export the scraped data as JSON, CSV, Excel, or XML, or read it from the dataset via API.

No coding required to scrape Reddit — but every option is scriptable through the API.

What data can I scrape from Reddit? {#what-data-can-i-scrape-from-reddit}

When you scrape Reddit posts, each post record includes:

Field	Description
`id`	Reddit fullname (e.g. `t3_1v203q9`)
`type`	`post` or `comment`
`title`	Post title
`url`	Permalink to the post
`author`	Username of the poster
`subreddit`	Subreddit name
`domain`	Source domain (e.g. `self.webdev`)
`score`	Net upvotes
`upvoteRatio`	Upvote ratio (0–1)
`numComments`	Comment count
`flair`	Post flair, if any
`gilded`	Number of awards
`selftext`	Body text (when `includeSelftext`)
`isSelf`	Whether it is a self/text post
`nsfw`	NSFW flag
`spoiler` / `stickied` / `archived` / `edited`	Post state flags
`thumbnail` / `outboundUrl`	Thumbnail + linked URL
`mediaUrls`	Media links (when `includeMedia`)
`createdUtc` / `createdUtcEpoch`	Creation time (ISO + epoch)
`scrapedAt`	When the record was captured
`sourceType`	Origin tag (`reddit`)

When you scrape Reddit comments (includeComments or comment search) you also get: id, body, author, subreddit, score, createdUtc, parent/post references, and depth.

Reddit scraping use cases {#use-cases}

Market & audience research — scrape Reddit to see what a community actually talks about.
Brand & reputation monitoring — track mentions of your product across subreddits.
Lead generation & outreach — find people asking for exactly what you sell (e.g. r/forhire).
Sentiment analysis & AI training — build labeled comment datasets at scale.
Trend detection — surface rising posts in a niche.
Competitor analysis — watch discussion around competing products.
Content auditing & campaign tracking — measure how topics evolve over time.

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

Search Reddit by keyword

Provide one or more searchQueries. Control ranking with sort (relevance, hot, top, new, rising, controversial) and time (hour, day, week, month, year, all).

{
  "searchQueries": ["remote developer", "hiring react"],
  "sort": "new",
  "time": "week",
  "maxItems": 100
}

Search inside specific subreddits

Restrict a query to given communities with searchInSubreddits:

{
  "searchQueries": ["salary"],
  "searchInSubreddits": ["cscareerquestions"],
  "searchFor": ["posts"],
  "maxItems": 50
}

Search posts or comments

searchFor accepts ["posts"], ["comments"], ["communities"], ["users"], or ["media"] — combine as needed.

How to scrape Reddit posts from a date range {#date-range}

Use postDateLimit (and commentDateLimit) in YYYY-MM-DD form to keep only items on or after that date:

{
  "subreddits": ["webdev"],
  "postDateLimit": "2026-01-01",
  "maxItems": 200
}

How to scrape a subreddit {#scrape-a-subreddit}

Paginate deeper

Increase maxPages to walk more listing pages per source (25 posts per page).

Community (subreddit) info only

Use communities to fetch subreddit metadata (title, subscribers, description, creation date) without pulling posts.

How to scrape Reddit comments {#scrape-reddit-comments}

All comments on a post

Pass the post URL in startUrls and enable comments:

{
  "startUrls": [{ "url": "https://www.reddit.com/r/webdev/comments/1v203q9/" }],
  "includeComments": true,
  "maxComments": 100,
  "maxCommentDepth": 6
}

Comments across a subreddit

Combine subreddits with includeComments: true to attach top comments to each post.

How to scrape Reddit user profiles {#scrape-reddit-users}

Pass usernames in users to scrape a person's recent posts and comments — public data only, no login:

{ "users": ["spez"], "maxItems": 50 }

Limiting results {#limits}

maxItems — hard cap on total records returned.
maxPostsPerSource — cap per subreddit/search/user.
maxPages — how many listing pages to walk per source.
maxComments / maxCommentDepth — comment expansion bounds.
requestDelayMs / maxRetries — politeness and resilience knobs.

Output example {#output-example}

Real sample record returned when you scrape Reddit posts:

{
  "id": "t3_1v203q9",
  "url": "https://www.reddit.com/r/webdev/comments/1v203q9/do_new_saas_users_need_a_tutorial_or_just_one/",
  "nsfw": false,
  "type": "post",
  "flair": "",
  "score": 1,
  "title": "Do new SaaS users need a tutorial, or just one obvious next step?",
  "author": "Key_Database155",
  "domain": "self.webdev",
  "edited": false,
  "gilded": 0,
  "isSelf": true,
  "spoiler": false,
  "archived": false,
  "selftext": "I looked through the first few days of usage on a tool I recently launched...",
  "stickied": false,
  "scrapedAt": "2026-07-20T22:31:53.518Z",
  "subreddit": "webdev",
  "thumbnail": "",
  "createdUtc": "2026-07-20T22:27:40.000Z",
  "sourceType": "reddit",
  "numComments": 0,
  "outboundUrl": "",
  "upvoteRatio": 1,
  "createdUtcEpoch": 1784586460
}

How much does it cost to scrape Reddit? {#how-much-does-it-cost-to-scrape-reddit}

Pay-per-result

You are billed by the Apify platform for the compute your runs use, plus any per-result pricing shown on the actor page. Building a dataset of thousands of posts typically costs only a few dollars — with pay-per-result pricing you only pay for the data you actually keep.

Free to try

Get your first results free in under 2 minutes. Start with a single subreddit and a small maxItems to see the output before scaling up.

Why it's efficient

Parallel fan-out means large multi-source jobs finish in seconds to minutes, not hours — fast, fresh data, and you pay for less compute time.

Integrate with n8n, Zapier, Make & AI workflows {#integrations}

Scrape Reddit and push results into your stack with Make, Zapier, n8n, Slack, Airbyte, Gumloop, CrewAI, IFTTT, Lindy, GitHub, Google Sheets, and Google Drive, plus webhooks and the Apify MCP server.

Method 1: Synchronous run (quick scrapes)

POST https://api.apify.com/v2/acts/myagizm~reddit-scraper-v2/run-sync-get-dataset-items?token=YOUR_TOKEN
Content-Type: application/json
{ "subreddits": ["webdev"], "maxItems": 50 }

Method 2: Asynchronous run (large scrapes)

POST https://api.apify.com/v2/acts/myagizm~reddit-scraper-v2/runs?token=YOUR_TOKEN

Then poll the run and read its dataset when it finishes.

You can also schedule runs via API or from the Apify console to keep your Reddit data fresh automatically.

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

Reddit Scraper V2 is part of a full family of Reddit and social scrapers. To get other details from Reddit, try these sibling actors:

Reddit Scraper V1 — real-time, up-to-the-second variant of this scraper.
Reddit Subreddit Scraper V2 — focused subreddit listing extraction.
Reddit Search Scraper V2 — keyword search across Reddit at scale.
Reddit Comment Scraper V2 — deep comment-thread extraction.
Reddit Community Scraper V2 — subreddit/community metadata.
Reddit Profile Scraper V2 — user profile posts and comments.

Scraping other platforms too? Try the Instagram Profile Scraper, YouTube Channel Scraper, or LinkedIn Jobs Scraper.

Support {#support}

Found a bug or need a field added? Open an issue on the actor's Issues tab — we actively maintain this scraper.

FAQ {#faq}

Is it legal to scrape Reddit?

Scraping publicly available data is generally permitted, but you are responsible for how you use the data. Respect Reddit's terms, copyright, and privacy laws (e.g. GDPR) and avoid collecting personal data you don't have a lawful basis to process.

Do I need Reddit API keys or authentication to scrape Reddit?

No. Reddit Scraper V2 needs no API key, no app registration, and no login — no cookies or account required.

Can I use Reddit Scraper V2 with the Apify API?

Yes. Trigger runs and read datasets through the Apify API using the path myagizm~reddit-scraper-v2, both synchronously and asynchronously.

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

Yes — it's available through the Apify MCP server for Claude, ChatGPT/Codex, and Cursor, so AI agents can scrape Reddit as a tool.

Do I need proxies to scrape Reddit?

No. Proxy handling is fully managed for you — nothing to configure.

Can I integrate scraped Reddit data with other apps?

Yes — connect to Make, Zapier, n8n, Slack, Google Sheets, Airtable, Notion, and more, plus webhooks.

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

Yes — JSON, CSV, Excel, and XML are all available from the dataset.

Can I scrape multiple subreddits at once?

Yes. Add several names to subreddits (and combine with users, URLs, and searches) to scrape Reddit at scale in one run.

Can I schedule the Reddit scraper?

Yes — schedule runs from the Apify console or via API to keep your Reddit data fresh automatically.

Can I scrape data from private subreddits or accounts?

No. Only publicly available posts, comments, and profiles can be scraped.

What's the difference between V1 and V2?

V2 reads a cached source (may lag ~1.5 h) and is best for bulk/historical/search jobs at high throughput. V1 is real-time. Pick based on freshness vs. volume.

How do I scrape an entire subreddit?

Add it to subreddits, raise maxPostsPerSource and maxPages, and set maxItems to your target.

How do I scrape Reddit comments?

Set includeComments: true (with maxComments / maxCommentDepth), or search with searchFor: ["comments"].

Can I scrape Reddit posts from a specific date range?

Yes — use postDateLimit / commentDateLimit in YYYY-MM-DD form.

How fresh is the scraped data?

V2 serves from a cached layer that may lag up to ~1.5 hours — fast and efficient for volume. For up-to-the-second data, use V1.

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Disclaimer {#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}

Scrape Reddit posts, comments, users, and search results with no API key and no login.
Export scraped data to JSON, CSV, Excel, or XML, schedule runs via API, and integrate with your tools and AI workflows.

中文说明 —— Reddit 综合抓取工具（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 —— 子版块、用户、社区、关键词搜索四种入口合一，一次运行即可拿到帖子（可选带评论）。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

📥 四种入口：子版块、用户主页、社区信息、关键词搜索，可在同一次运行中混用。
🔀 排序与时间范围：new / hot / top / rising / controversial + hour…all。
💬 可选带评论（includeComments），并可控制评论数量与层级深度。
📝 可选帖子正文（includeSelftext）与媒体链接（includeMedia）。
🗓️ 按日期截断（postDateLimit / commentDateLimit），只要最近内容。
🔎 站内关键词过滤（searchTerms），在抓取时就筛掉无关帖子。
🔞 可选包含成人内容（includeNSFW）。
📏 多层限流：maxItems、maxPostsPerSource、maxPages 精确控制成本。

谁在用

📊 市场与产品研究 —— 看用户在问什么、夸什么、抱怨什么。
💼 线索挖掘 —— 在求助类版块找到有需求的人。
🧑‍💻 AI / 数据团队 —— 构建帖子 + 评论语料。
🏢 品牌监测 —— 跟踪品牌在各版块的讨论。
📰 研究者与记者 —— 可复现地采集社区讨论。

输入示例

{
  "searchQueries": ["remote developer", "hiring react"],
  "sort": "new",
  "time": "week",
  "maxItems": 100
}

输出示例

{
  "id": "t3_1v203q9",
  "url": "https://www.reddit.com/r/webdev/comments/1v203q9/do_new_saas_users_need_a_tutorial_or_just_one/",
  "nsfw": false,
  "type": "post",
  "flair": "",
  "score": 1,
  "title": "Do new SaaS users need a tutorial, or just one obvious next step?",
  "author": "Key_Database155",
  "domain": "self.webdev",
  "edited": false,
  "gilded": 0,
  "isSelf": true,
  "spoiler": false,
  "archived": false,
  "selftext": "I looked through the first few days of usage on a tool I recently launched...",
  "stickied": false,
  "scrapedAt": "2026-07-20T22:31:53.518Z",
  "subreddit": "webdev",
  "thumbnail": "",
  "createdUtc": "2026-07-20T22:27:40.000Z",
  "sourceType": "reddit",
  "numComments": 0,
  "outboundUrl": "",
  "upvoteRatio": 1,
  "createdUtcEpoch": 1784586460
}

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

📏 先用小 maxItems 试跑，确认字段结构再放量。
💬 评论很贵：只在真正需要时开 includeComments，并把 maxComments 压低。
🗓️ 监控场景用 postDateLimit 而不是大 limit，更省钱。
🔎 searchTerms 在抓取阶段过滤，比抓完再筛便宜得多。
⏰ 定时运行 + 按 id 去重，即可增量采集。

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-scraper-v2/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
  "searchQueries": ["remote developer", "hiring react"],
  "sort": "new",
  "time": "week",
  "maxItems": 100
}'

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。