Reddit Scraper - Fast, Comments,Data,Subreddits avatar

Reddit Scraper - Fast, Comments,Data,Subreddits

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from $1.10 / 1,000 reddit item scrapeds

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Reddit Scraper - Fast, Comments,Data,Subreddits

Reddit Scraper - Fast, Comments,Data,Subreddits

Scrape public Reddit posts, comments, users, communities, and search results as structured JSON. No login, no API key.

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from $1.10 / 1,000 reddit item scrapeds

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MYM

MYM

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Reddit Scraper — Scrape Reddit Posts, Comments, Users & Search Results (No API Key, No Login)

Scrape Reddit at scale — turn any subreddit, Reddit URL, user profile, or keyword search into clean, structured data. No API key, no login, no cookies or account required.

Go beyond the limitations of the official Reddit API and scrape posts, comments, users, communities, and search results — all publicly available data — in a single run. Export scraped data to JSON, CSV, Excel, or XML, schedule runs via API, and integrate with your tools and AI workflows.

Built for AI agents: plug Reddit data straight into Claude, ChatGPT / Codex, and Cursor through the Apify MCP server — your agent calls the scraper as a tool and gets ready-to-use results.

Try Now Input Schema API Docs

What can it doAI agents (MCP)How to scrape RedditOutput dataLimitsExamplePricingIntegrationsFAQOther actors


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

Reddit Scraper is an all-in-one tool to scrape Reddit. Point it at subreddits, paste Reddit URLs, list usernames, or run keyword searches, and it returns clean, structured data you can drop straight into a spreadsheet, database, dashboard, or AI pipeline. There is no API key to register, no login, and no cookies or account required — the actor handles everything for you and just gives you the data.

It is the flagship, multi-purpose scraper of the Reddit toolkit: one actor that can scrape Reddit posts, comments, users, communities, and search results in a single run. Get your first results free in under 2 minutes. If you need a narrower, single-purpose tool, see the dedicated siblings in Want other Reddit data?.

✅ Scrape subreddits by name

Give it one or more subreddit names (AskReddit, forhire, programming) and it lists their posts in the sort order you choose — New, Hot, Top, Rising, or Controversial. Scrape a bunch of subreddits at once; the r/ prefix is optional.

🗂️ Scrape any Reddit URL

Paste post URLs, subreddit URLs, or user URLs into Start URLs. Each link is auto-detected and scraped with the right strategy — you can mix post, subreddit, and profile links in the same list.

💬 Scrape nested Reddit comments

Turn on Include comments to pull threaded comment trees for each post, with full control over how many comments and how deep the nesting goes. Great for sentiment analysis, community research, and Q&A mining.

👤 Scrape Reddit user submissions

Provide a list of usernames and the scraper collects the posts each user submitted — perfect for tracking creators, competitors, or public figures.

🔍 Scrape Reddit keyword search results

Run keyword searches and choose exactly what each query returns: posts, communities, users, or media-only posts. Optionally restrict every search to a specific set of subreddits.

🏷️ Scrape Reddit community metadata

Fetch subreddit metadata — subscriber counts, descriptions, creation dates — without listing every post, using the Communities input.

📊 Structured, analysis-ready data

Every item comes back with consistent, typed fields — score, author, timestamps, flair, media flags, comment counts and more — so it's ready for BI tools, notebooks, and LLMs without cleanup. No caching; fast, fresh data every run.

🔄 Filter, sort, and cap precisely

Restrict by date, keyword, and NSFW flag; sort by New/Hot/Top; and cap results per source and per run so you only pay for what you need.


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

Reddit Scraper is MCP-ready. Through the Apify MCP server, any Model Context Protocol client can call this actor as a native tool:

  • Claude (Claude Desktop, Claude Code) — ask Claude to "pull the last 50 hot posts from r/forhire" and it runs the scraper and reasons over the results.
  • ChatGPT / Codex — expose the actor as a tool in your custom GPT or agent stack.
  • Cursor — fetch live Reddit context while you code.

Because the output is clean, structured data, it flows on into your favorite integrationsMake, Zapier, n8n, Slack, Airbyte, Gumloop, CrewAI, IFTTT, Lindy, GitHub, Google Sheets, and Google Drive — so an agent can scrape Reddit and then post, store, or enrich the data without extra glue code.


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

  1. Open Reddit Scraper on Apify: apify.com/myagizm/reddit-scraper.
  2. Choose your starting points — fill in Subreddits, paste Start URLs, add Users, or type Search queries. You can combine several in one run.
  3. Set Sort and Time range to control ordering (e.g. Hot posts from the past week).
  4. Optionally turn on Include comments and Include media URLs, and set date/keyword filters.
  5. Set your caps — Max items, Max posts per source, Max listing pages.
  6. Click Start ▶ and watch results stream into the dataset in real time.
  7. Export as JSON, CSV, Excel, or XML, or pull the data via API (see Integrations).

No account, cookies, or tokens required — just describe what you want to scrape from Reddit and run.


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

Each post item includes fields like the following (exact fields depend on the content type and your options):

FieldTypeDescription
idstringReddit fullname / thing ID (e.g. t3_1v0ygr8).
typestringItem type — post, comment, user, or community.
urlstringCanonical URL of the item.
titlestringPost title.
authorstringUsername of the author.
subredditstringSubreddit the item belongs to.
selftextstringSelf/body text of the post (when Include post text is on).
scoreinteger/nullNet upvote score.
numCommentsintegerNumber of comments on the post.
flairstringPost flair text, if any.
domainstringSource domain (e.g. self.AskReddit).
isSelfbooleanWhether the post is a text (self) post.
nsfwbooleanWhether the item is flagged over-18.
spoilerbooleanWhether the post is marked as a spoiler.
stickiedbooleanWhether the post is pinned/stickied.
archivedbooleanWhether the post is archived.
gildedbooleanWhether the post received awards.
editedbooleanWhether the post was edited.
thumbnailstringThumbnail image URL, if present.
outboundUrlstringOutbound link for link posts.
createdUtcstringCreation timestamp (ISO 8601, UTC).
createdTextstringHuman-readable relative time (e.g. just now).
sourceTypestringHow the item was reached (e.g. listing, search).
scrapedAtstringWhen the item was scraped (ISO 8601).

Comment items include their own fields (author, body, score, depth, parent), and community items include metadata such as subscriber counts and descriptions.


Use cases — what you can do when you scrape Reddit

  • Lead & job scouting — monitor r/forhire, r/jobbit, and niche hiring subreddits for fresh gigs and clients.
  • Market & product research — track what people say about your product, category, or competitors.
  • Sentiment & trend analysis — feed posts and comments into NLP/LLM pipelines to measure opinion over time.
  • Community management — watch mentions of your brand or keywords across many subreddits at scale.
  • Content & SEO ideas — mine top posts and questions for content inspiration and long-tail keywords.
  • AI training & RAG — collect high-quality, real-world Q&A and discussion data for retrieval and fine-tuning.

Input examples — how to scrape Reddit your way

All examples use the real input field names from the actor. Provide only the fields you need.

Scrape one or more subreddits

{
"subreddits": ["forhire", "AskReddit"],
"sort": "hot",
"maxPostsPerSource": 25,
"maxItems": 50
}

Scrape from Reddit URLs (posts, subreddits, or users)

{
"startUrls": [
{ "url": "https://www.reddit.com/r/webdev/" },
{ "url": "https://www.reddit.com/r/pics/comments/abc123/" }
],
"includeSelftext": true,
"maxItems": 50
}

Scrape Reddit posts and their comments

{
"subreddits": ["programming"],
"sort": "top",
"time": "week",
"includeComments": true,
"maxComments": 50,
"maxCommentDepth": 4,
"maxItems": 40
}

Scrape a Reddit user's submissions

{
"users": ["spez", "kn0thing"],
"sort": "new",
"maxPostsPerSource": 25
}

Scrape Reddit keyword search results

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

Filter by date, keyword, and NSFW

{
"subreddits": ["forhire"],
"postDateLimit": "2026-01-01",
"searchTerms": ["hiring", "developer"],
"includeNSFW": false,
"includeMedia": true,
"maxItems": 50
}

Full input reference

FieldTypeDefaultDescription
subredditsarray["forhire"]Subreddit names to scrape (r/ optional).
startUrlsarray[{r/webdev}]Reddit URLs (post/subreddit/user), auto-detected.
usersarray["spez"]Usernames whose submissions to scrape (u/ optional).
communitiesarray["technology"]Subreddit names to fetch metadata for (no post listing).
searchQueriesarrayKeywords to search across Reddit.
searchForarray["posts"]Entity types per query: posts, comments, communities, users, media.
searchInSubredditsarrayRestrict each search query to these subreddits.
sortstringnewnew, hot, top, rising, controversial, relevance.
timestringallTime window for Top / Controversial / search.
postDateLimitstringKeep only posts on/after YYYY-MM-DD.
commentDateLimitstringKeep only comments on/after YYYY-MM-DD.
searchTermsarrayKeep only posts whose title/body contains one of these words.
includeNSFWbooleanfalseInclude over-18 / NSFW posts.
includeSelftextbooleantrueFetch each post's self/body text.
includeCommentsbooleanfalseScrape nested comments per post.
maxCommentsinteger20Max comments per post (0–100).
maxCommentDepthinteger4Max comment nesting depth (0–15).
includeMediabooleanfalseExtract image/video media URLs.
maxItemsinteger50Hard cap on total items per run (1–100).
maxPostsPerSourceinteger25Cap on posts per subreddit/user/search (1–100).
maxPagesinteger1Listing pages to paginate (25 posts/page, 1–20).
ignoreStartUrlsbooleanfalseSkip Start URLs even if provided.
maxRetriesinteger3Retry attempts per failed request (0–6).
requestDelayMsinteger300Politeness delay between requests in ms (0–10000).
debugbooleanfalseVerbose per-source logging.

Limiting results {#limits}

Use these fields to keep runs fast and control cost:

  • maxItems (default 50, max 100) — a hard cap on the total number of items saved in one run.
  • maxPostsPerSource (default 25, max 100) — caps how many posts are kept from each individual subreddit, user, or search.
  • maxPages (default 1, max 20) — how many listing pages to paginate through (25 posts per page).
  • maxComments (default 20, max 100) — comments scraped per post when Include comments is on.
  • maxCommentDepth (default 4, max 15) — how deep into the comment tree to traverse.

Runs are kept intentionally fast and fair: a single run lasts at most ~10 minutes, and one long-running job is processed at a time. For very large collections, split your work into several focused runs (for example, one subreddit or search per run) or schedule them.


Output example {#output-example}

A single post item straight from the dataset:

{
"id": "t3_1v0ygr8",
"url": "https://www.reddit.com/r/AskReddit/comments/1v0ygr8/why_would_you_put_coconut_cream_in_cilantro_lime/",
"nsfw": false,
"type": "post",
"flair": "",
"score": null,
"title": "Why would you put coconut cream in cilantro lime rice?",
"author": "In8MoreHours",
"domain": "self.AskReddit",
"edited": false,
"gilded": false,
"isSelf": true,
"spoiler": false,
"archived": false,
"selftext": "",
"stickied": false,
"scrapedAt": "2026-07-19T18:42:43.748Z",
"subreddit": "AskReddit",
"thumbnail": "",
"createdUtc": "2026-07-19T18:42:10+00:00",
"sourceType": "listing",
"createdText": "just now",
"numComments": 1,
"outboundUrl": "https://www.reddit.com/r/AskReddit/comments/1v0ygr8/why_would_you_put_coconut_cream_in_cilantro_lime/"
}

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

Reddit Scraper uses a simple pay-per-result model — you pay for the data you actually collect, not for the time the scraper spends working. Because the actor is optimized to be fast and efficient, most runs cost only a few cents, and you stay in full control with maxItems, maxPostsPerSource, and maxPages. There are no limitations on the number of requests or calls beyond the per-run caps you set.

New Apify accounts include free monthly usage credits, so you can get your first results free in under 2 minutes at no cost. See the live pricing on the actor page for exact numbers.


Integrate with n8n, Zapier, and Make {#integrations}

Reddit Scraper works anywhere the Apify API works. Trigger it from n8n, Zapier, Make, or your own code, and read results from the dataset.

Run and get results synchronously

curl -X POST "https://api.apify.com/v2/acts/myagizm~reddit-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"subreddits": ["forhire"],
"sort": "hot",
"maxItems": 50
}'

This starts the run, waits for it to finish, and returns the dataset items in one call — ideal for automations that need results immediately.

Start a run asynchronously

curl -X POST "https://api.apify.com/v2/acts/myagizm~reddit-scraper/runs?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"searchQueries": ["python developer"],
"searchFor": ["posts"],
"maxItems": 50
}'

Then poll the run or fetch its dataset once it's ready:

$curl "https://api.apify.com/v2/datasets/DATASET_ID/items?token=YOUR_APIFY_TOKEN&format=json"

You can also use the official Apify integrations for n8n, Zapier, and Make to run the actor and route results into Sheets, Airtable, Slack, Notion, and hundreds of other apps — no code required.


Support {#support}

Questions, bugs, or feature requests? Open an issue on the Issues tab of the actor page, or contact the developer through Apify. Feedback is welcome and helps improve the scraper.


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

Need a narrower, single-purpose tool? Reddit Scraper is the all-in-one flagship, but the rest of the Reddit toolkit by myagizm targets each job precisely:

Scraping other platforms too? Try Facebook Page Scraper, Instagram Profile Scraper, or YouTube Channel Scraper.


FAQ — scraping Reddit {#faq}

Scraping publicly available data is generally legal in most jurisdictions. This actor only accesses content that anyone can see on Reddit without logging in. You are responsible for how you use the data — respect privacy laws (such as GDPR/CCPA), Reddit's terms, and copyright. This is not legal advice.

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

No. There is no API key, no login, and no cookies or account required. The actor handles access for you — just enter what you want to scrape and run it.

Can I use Reddit Scraper with the Apify API?

Yes. Start runs and fetch datasets programmatically via the Apify API using the actor path myagizm~reddit-scraper. See the Integrations section for ready-to-use curl snippets.

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

Yes. Reddit Scraper is available through the Apify MCP server, so MCP-compatible AI agents like Claude, ChatGPT, and Cursor can call it as a tool and work with the results directly.

Do I need proxies to scrape Reddit?

No. The scraper manages connectivity and reliability internally, so you don't need to set up cookies, sessions, or proxies. Everything works out of the box.

Can I integrate Reddit data with other apps?

Yes. Route results into Make, Zapier, n8n, Slack, Google Sheets, Airtable, Notion, and hundreds of other apps using Apify's official integrations, webhooks, or the API.

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

Yes. After a run, open the Storage / Dataset tab and export as JSON, CSV, Excel, or XML with one click, or pull the data via the API in your preferred format.

Can I scrape multiple subreddits at once?

Yes. You can mix subreddits, startUrls, users, communities, and searchQueries in a single run — the scraper handles each source type appropriately and scrapes them all at once.

Can I schedule the Reddit scraper?

Yes. Use Apify Schedules to run the scraper on any cadence (hourly, daily, weekly) and route new results into your tools automatically.

Can I scrape data from private subreddits or accounts?

No. Reddit Scraper collects only publicly available data — content that anyone can view without logging in. Private or restricted communities and content are not accessible.

How many items can I scrape per run?

Up to maxItems (max 100 per run), with per-source and per-page caps. A single run lasts at most ~10 minutes. For larger collections, split work across multiple focused runs or schedule them.

How fast is the Reddit scraper?

Very fast. Runs are optimized to complete quickly with fresh data (no caching), and typical result-limited runs finish in well under the 10-minute cap.

Can I scrape Reddit comments?

Yes. Turn on Include comments and control volume with maxComments and depth with maxCommentDepth.

Can I filter scraped Reddit posts by date?

Yes. Use postDateLimit and commentDateLimit (YYYY-MM-DD) to keep only items created on or after a given date, and time to bound Top/search windows.

Can I search only within specific subreddits?

Yes. Add subreddit names to searchInSubreddits and each searchQueries entry is restricted to those subreddits.

Can I include NSFW posts?

By default NSFW posts are excluded. Set includeNSFW to true to include over-18 content.

Why is a field like score sometimes null?

Some values (such as a very fresh post's score) may not yet be finalized by Reddit at scrape time and can come back as null. Older posts return stable values.


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Run it from an AI agent — no Apify account needed (x402) {#x402}

This actor accepts agentic payments over the open x402 protocol. An AI agent can pay for a run in USDC on Base and get the data without an Apify account, a credit card, or an API key:

# one-time: wallet + prepaid token (agent side)
npx -y awal auth login <email>
npx awal x402 pay 'https://agi.apify.com/protocols/x402/prepaid-tokens?amount=1&currency=usd' --max-amount 1000000 --json
# then use the returned token exactly like an Apify API token
curl "https://api.apify.com/v2/acts/myagizm~reddit-scraper/run-sync-get-dataset-items" \
-H "Authorization: Bearer $PREPAID_TOKEN" -H 'Content-Type: application/json' -d '{INPUT}'

Why it works here: this actor is pay per event and runs with limited permissions, the two conditions x402 requires. You are charged per result, so an agent pays only for the rows it receives. The prepaid token is a hard spending cap and expires 14 days after purchase.


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. This actor is intended to collect only publicly available data and should be used in compliance with applicable laws and platform terms.


Resources {#resources}


中文说明 —— Reddit 综合抓取工具(V1)

V1 = 轻量低价线。 本 Actor 为 V1:自包含、价格最低、尽力而为。若需要更稳定的交付与更全的字段,请使用同一功能的 V2 版本(见 myagizm 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 + hourall
  • 💬 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maxItemsmaxPostsPerSourcemaxPages 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。

可以抓取哪些数据

字段类型说明
idstring记录 ID(帖子如 t3_...,评论如 t1_...
typestring记录类型(post / comment / user / community
urlstring永久链接
titlestring帖子标题
authorstring作者用户名
subredditstring所属子版块
selftextstring帖子正文(开启 Include post text 时返回)
numCommentsinteger评论数
flairstring帖子 flair 标签
domainstring来源域名(如 self.AskRedditi.redd.it
isSelfboolean是否为纯文本自帖
nsfwboolean是否标记为成人内容
spoilerboolean是否标记为剧透
stickiedboolean是否在版块内置顶
archivedboolean是否已归档
gildedboolean是否获得奖励
editedboolean是否被编辑过
thumbnailstring缩略图地址
outboundUrlstring帖子指向的链接(外链帖为外部地址,自帖为永久链接)
createdUtcstring创建时间(ISO 8601,UTC)
createdTextstring人类可读的相对时间(如 11 hours ago
sourceTypestring该行的采集方式(如 listing
scrapedAtstring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

{
"subreddits": ["forhire", "AskReddit"],
"sort": "hot",
"maxPostsPerSource": 25,
"maxItems": 50
}

输出示例

{
"id": "t3_1v0ygr8",
"url": "https://www.reddit.com/r/AskReddit/comments/1v0ygr8/why_would_you_put_coconut_cream_in_cilantro_lime/",
"nsfw": false,
"type": "post",
"flair": "",
"score": null,
"title": "Why would you put coconut cream in cilantro lime rice?",
"author": "In8MoreHours",
"domain": "self.AskReddit",
"edited": false,
"gilded": false,
"isSelf": true,
"spoiler": false,
"archived": false,
"selftext": "",
"stickied": false,
"scrapedAt": "2026-07-19T18:42:43.748Z",
"subreddit": "AskReddit",
"thumbnail": "",
"createdUtc": "2026-07-19T18:42:10+00:00",
"sourceType": "listing",
"createdText": "just now",
"numComments": 1,
"outboundUrl": "https://www.reddit.com/r/AskReddit/comments/1v0ygr8/why_would_you_put_coconut_cream_in_cilantro_lime/"
}

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

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/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"subreddits": ["forhire", "AskReddit"],
"sort": "hot",
"maxPostsPerSource": 25,
"maxItems": 50
}'

format 改成 jsoncsvxlsxxml 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。

让 AI 代理直接调用 —— 无需 Apify 账号(x402)

本工具支持基于开放 x402 协议代理支付:AI 代理可以用 Base 链上的 USDC 直接付费运行,无需 Apify 账号、信用卡或 API 密钥。

npx -y awal auth login <邮箱>
npx awal x402 pay 'https://agi.apify.com/protocols/x402/prepaid-tokens?amount=1&currency=usd' --max-amount 1000000 --json
curl "https://api.apify.com/v2/acts/myagizm~reddit-scraper/run-sync-get-dataset-items" \
-H "Authorization: Bearer $PREPAID_TOKEN" -H 'Content-Type: application/json' -d '{INPUT}'

之所以可用:本工具采用按事件计费且以受限权限运行,这正是 x402 的两个前提条件。按结果计费,代理只为拿到的数据付费;预付令牌本身就是消费上限,购买后 14 天到期。


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。

相关搜索

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