📱 Reddit Posts Scraper

🚀 Extract Reddit posts at 1,000+ posts per minute. Pull from subreddits, search queries, or direct URLs with score, comment, flair, domain, and author filters. No login, no API keys.

🕒 Last updated: 2026-04-21 · 📊 15+ fields per post · 📋 6 sort modes · 🔍 7 filters · 🚫 No auth required

🎁 Paid plan adds

🧵 Full comment tree

👤 Author profiles

🔞 Safety flags

📈 Virality metrics

The Reddit Posts Scraper collects post data from any public subreddit, search query, or direct Reddit URL. Each record includes title, full text, author, score, upvote ratio, comment count, creation date, domain, flair, media flags, and awards. Runs return 1,000+ posts per minute on residential proxy, making it practical for trend analysis, content research, and ongoing monitoring at scale.

The Actor supports three input methods (subreddit names, search queries, and direct URLs), six sort modes (hot, new, top, rising, controversial, relevance), and seven time windows (hour, day, week, month, year, all, default). Filters let you narrow by score range, comment count, flair, domain, and author before results hit the dataset.

🎯 Target Audience	💡 Primary Use Cases
Market researchers, data analysts, social media managers, content creators, brand teams, academic researchers	Trend analysis, sentiment monitoring, competitive research, content discovery, community tracking, public-discourse datasets

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📋 What the Reddit Posts Scraper does

Three input methods, combinable in a single run:

• 📋 Subreddit mode. Provide subreddit names (without the r/ prefix) to pull posts from each community.
• 🔍 Search mode. Enter search queries to find posts across all of Reddit, or scoped to a specific subreddit.
• 🔗 URL mode. Paste direct Reddit URLs (subreddit pages, search URLs, or individual post URLs).

Each post record includes title, self-text, author, subreddit, score, upvote ratio, comment count, creation date, permalink, domain, flair, NSFW/spoiler/stickied flags, media flags, gallery status, and award count.

💡 Why it matters: manually browsing Reddit for trends, mentions, or competitor discussions is slow and doesn't scale. This Actor collects structured post data on demand, ready for CSV export, dashboard ingestion, or CRM enrichment.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.

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⚙️ Input

Input	Type	Default	Behavior
maxItems	integer	10	Max posts to collect. Free plan caps at 10, paid plan at 1,000,000.
startUrls	array	[]	Direct Reddit URLs (subreddit pages, search URLs, or post URLs).
subreddits	array	["programming", "javascript", "typescript"]	Subreddit names without the r/ prefix.
searchQueries	array	[]	Search terms to find posts across Reddit.
searchInSubreddit	string	""	Limit search queries to a specific subreddit.
sort	string	"hot"	Sort mode: hot, new, top, rising, controversial, relevance.
time	string	"day"	Time window for top/controversial/search: hour, day, week, month, year, all.
minScore	integer	-	Only posts with at least this many upvotes.
maxScore	integer	-	Only posts with at most this many upvotes.
minComments	integer	-	Only posts with at least this many comments.
flairFilter	string	""	Only posts matching this exact flair text (case-sensitive).
domainFilter	string	""	Only posts from URLs containing this domain (e.g. youtube.com).
authorFilter	string	""	Only posts from this specific author (without u/).
proxyConfiguration	object	Apify residential	Residential proxies required. Reddit blocks datacenter IPs.

Example: top posts from three subreddits this week, minimum 100 upvotes.

{
    "subreddits": ["programming", "javascript", "typescript"],
    "sort": "top",
    "time": "week",
    "maxItems": 100,
    "minScore": 100
}

Example: search for "web scraping" posts across all of Reddit.

{
    "searchQueries": ["web scraping"],
    "sort": "relevance",
    "time": "month",
    "maxItems": 50
}

⚠️ Good to Know: residential proxies are required when running on Apify. Reddit blocks datacenter IPs, so the scraper will fail without proper proxy configuration. The proxy input is already pre-filled with the recommended settings.

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📊 Output

Each post record contains 15+ fields. Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema

Field	Type	Example
📝 title	string	"Most used programming languages in 2025"
👤 author	string	"Grouchy_Word_9902"
📋 subreddit	string	"programming"
👍 score	number	120
💬 numComments	number	149
📊 upvoteRatio	number	0.7
📅 createdAt	ISO 8601	"2025-12-11T15:07:03.000Z"
🔗 url	string	"https://devecosystem-2025.jetbrains.com/"
🔗 permalink	string	"https://www.reddit.com/r/programming/comments/..."
📄 selfText	string	"JetBrains' 2025 Developer Ecosystem Survey..."
🌐 domain	string	"devecosystem-2025.jetbrains.com"
🔞 over18	boolean	false
⚠️ spoiler	boolean	false
🎬 isVideo	boolean	false
🖼️ isGallery	boolean	false
🏆 awards	number	0

📦 Sample records

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✨ Why choose this Actor

	Capability
⚡	Fast. 1,000+ posts per minute with residential proxy.
🔍	Advanced filtering. Score range, comment count, flair, domain, and author filters before data hits the dataset.
📋	Three input modes. Subreddits, search queries, and direct URLs combine in a single run.
🔀	Six sort modes. Hot, new, top, rising, controversial, relevance.
📅	Time window control. Hour, day, week, month, year, all.
📊	Full engagement data. Score, upvote ratio, comment count, and awards per post.
🚫	No authentication. Works with public Reddit data. No login or API key needed.

📊 Reddit is the #1 cited domain in ChatGPT and Perplexity responses. Having structured access to Reddit discussions is the foundation for any modern social-listening or content-research workflow.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ Reddit Posts Scraper (this Actor)	$5 free credit, then pay-per-use	Any public subreddit	Live per run	score, comments, flair, domain, author	⚡ 2 min
Official Reddit API	Free with hard rate limits	Public subreddits	Rate-limited	Many	⏳ Hours (OAuth setup)
Third-party social listening tools	$99-499/month	Multi-platform	Varies	Many	🐢 Days of onboarding
Manual browsing	Free	Manual	Manual	Reddit UI only	🕒 Hours per batch

Pick this Actor when you want Reddit data on demand, with filters applied server-side, without managing OAuth tokens or paying for a full social-listening subscription.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Reddit Posts Scraper page on the Apify Store.
3. 🎯 Set input. Add subreddits, search queries, or URLs. Pick a sort mode, set filters, and set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Market Research & Analytics Track trending topics and emerging discussions Monitor brand mentions and customer sentiment Analyze community engagement patterns Build longitudinal trend datasets	🎨 Content Creators & Strategists Discover popular topics and content ideas Monitor niche discussions for inspiration Track engagement trends and viral content Research what resonates with target audiences
📣 Social Media & Brand Teams Monitor competitor mentions and activity Track product launch reception and feedback Discover user-generated content opportunities Build audience insight reports	🎓 Academic & Journalism Build public-discourse datasets for research Monitor emerging narratives in communities Export structured data for quantitative analysis Reproduce and cite Reddit discussions

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

• 💬 ChatGPT
• 🧠 Claude
• 🔍 Perplexity
• 🅒 Copilot

❓ Frequently Asked Questions

💳 Do I need a paid Apify plan to run this actor?

No. You can start right now on the free Apify plan, which includes $5 in free monthly credit. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. Create a free Apify account here to get started.

🚨 What happens if my run fails or returns no results?

Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our contact form and we will investigate. You can also check the run log in the Apify console to see why the run stopped.

📏 How many items can I scrape per run?

Free users are limited to 10 items per run so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to 1,000,000 per run. Upgrade here if you need full scale.

🕒 How fresh is the data?

Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.

🧑‍💻 Can I call this actor from my own code?

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for Node.js and Python. You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.

📤 How do I export the data?

Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the Apify API or stream them into BigQuery, S3, and other destinations through built-in integrations.

📅 Can I schedule the actor to run automatically?

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.

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🔌 Automating Reddit Posts Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

• 🟢 Node.js. Install the apify-client NPM package.
• 🐍 Python. Use the apify-client PyPI package.
• 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Daily or weekly pulls keep trend-monitoring dashboards in sync automatically.

🔗 MCP Connector integrations

Pipe each scraped Reddit post directly into your tools via the Model Context Protocol. No code, no API keys to manage. Authorize a connector once via OAuth in the Apify Console and the actor sends data to your account automatically.

Officially supported services

Service	URL to paste in the connector wizard	Use case
📝 Notion	https://mcp.notion.com/mcp	Research log — each Reddit post becomes a sub-page in your Notion workspace with full title, body, author and stats
📋 Linear	https://mcp.linear.app/sse	Feedback queue — each post becomes an issue in your Linear team, ready to triage
📊 Airtable	https://mcp.airtable.com/mcp	Mention tracking — each post becomes a row in a base with structured columns you can filter, sort, and analyze
⚙️ Apify	https://mcp.apify.com	Actor chaining — each post triggers another Apify Actor (sentiment analysis, translation, enrichment, screenshot, etc.)

Setting up Notion

1. Create a target page in Notion (e.g. "Reddit Research")
2. Open that page → ••• (top right) → Connections → connect your Apify integration
3. Copy the full page URL
4. In Apify Console → input form → click + on 🔗 MCP Connector → paste https://mcp.notion.com/mcp → click Authorize → login with Notion → allow access
5. Run the actor with:
   • 🔗 MCP Connector: the new "Notion" connector
   • 🔗 Mode: 📄 One entry per post
   • 🔗 Target page: paste the Notion page URL
   • 🔗 Message (optional): leave empty for a rich default template with headings, blockquote, bullets

Setting up Linear

1. In Apify Console → click + on 🔗 MCP Connector → paste https://mcp.linear.app/sse → Authorize → grant access to your workspace
2. In Linear, decide which team should receive the issues and copy that team's URL (looks like https://linear.app/<workspace>/team/<TEAM_KEY>)
3. Run the actor with:
   • 🔗 MCP Connector: the new "Linear" connector
   • 🔗 Mode: 📄 One entry per post
   • 🔗 Target page: paste the Linear team URL (the actor extracts the team key automatically)

Each scraped post becomes a new Linear issue with the post title as the issue title and the Markdown-formatted body as the description.

Setting up Airtable

Airtable requires a one-time setup of the destination table with specific column names.

1. Sign up at airtable.com (free tier works)
2. Create a new base → in the first table, configure these 8 columns exactly (case-sensitive):

Column name	Type
Title	Single line text
Author	Single line text
Subreddit	Single line text
Score	Number (integer)
Comments	Number (integer)
URL	URL
CreatedAt	Single line text or Date
SelfText	Long text

3. Copy the full URL of the table (looks like https://airtable.com/appXXXXXXXX/tblYYYYYYYY/viwZZZZZZZZ) — the actor extracts baseId and tableId from it
4. In Apify Console → click + on 🔗 MCP Connector → paste https://mcp.airtable.com/mcp → Authorize → grant access to your workspace
5. Run the actor with:
   • 🔗 MCP Connector: the new "Airtable" connector
   • 🔗 Mode: 📄 One entry per post
   • 🔗 Target page: paste the table URL

Each scraped post appears as a new row.

Setting up Apify (actor chaining)

Trigger another Apify Actor for every scraped post — useful for enrichment pipelines (e.g. run a sentiment analysis actor on each post's text, or feed each URL into a deep-scraping actor).

1. In Apify Console → click + on 🔗 MCP Connector → paste https://mcp.apify.com → Authorize (uses your existing Apify token, no extra OAuth)
2. Decide which actor you want to call per post. Browse https://apify.com/store and copy its identifier (e.g. apify/rag-web-browser or your-username/sentiment-analyzer)
3. Run the actor with:
   • 🔗 MCP Connector: the new "Apify" connector
   • 🔗 Mode: 📄 One entry per post
   • 🔗 Target page: the target actor ID (e.g. apify/rag-web-browser)
   • 🔗 Tool name override: call-actor (required — Apify MCP exposes many tools, this picks the right one)

Each scraped post fires a run of the target actor with {url, title, query, text, post} as input. The run is fire-and-forget (waitSecs: 0) so the scraper finishes fast even if downstream actors are slow.

Power user: custom format

The actor also accepts any other MCP server URL — fill the advanced fields:

• 🔗 Custom template — write Markdown using {{post.title}}, {{post.url}}, {{post.author}}, {{post.score}}, {{post.numComments}}, {{post.subreddit}}, {{post.permalink}}, {{post.selfText}}, {{post.createdAt}}, {{post.domain}} placeholders
• 🔗 Tool name override — bypass auto-detection and pick a specific MCP tool name
• 🔗 Arguments JSON override — provide the full argument shape literally (e.g. with custom Airtable column names, Linear teamId, Notion's rich_text blocks)

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🔌 Integrate with any app

Reddit Posts Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe Reddit data into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes. Push fresh Reddit data into your brand-monitoring dashboard, or alert your team in Slack.

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🔗 Recommended Actors

• 📸 Instagram Posts Scraper - Posts, captions, and engagement from public Instagram profiles
• 👤 Instagram Profile Scraper - Bio, follower counts, verification, and profile metadata
• 🐦 X.com Tweets Scraper - Tweet data, engagement metrics, and author details
• 📰 PR Newswire Scraper - Press releases and news articles for media monitoring
• 💼 HubSpot Marketplace Scraper - Business app data for market research

💡 Pro Tip: browse the complete ParseForge collection for more data scrapers.

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How to enable MCP enrichment

Inside the input form, scroll to the ✨ Enrichment section and follow these steps:

1. Toggle on the Enrich Output checkbox.
2. Pick a connector in the Enrichment Connector dropdown. If you don't have one yet, click the + button, paste the URL https://api.trendsmcp.ai/mcp, and paste your bearer token from trendsmcp.ai.
3. Run the actor. Every scraped item gets an extra enrichment object with cross-platform momentum curves (Google, YouTube, Amazon), 1-month and 12-month growth rates, and a trend state classification (rising / stable / declining).

The enrichment is cached per unique key (subreddit or hashtag), so a 100-item run from the same source costs only one batch of API calls. Get a free API key (100 requests per month, no credit card) at trendsmcp.ai.

🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.

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⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Reddit, Inc. or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. Only publicly available post data is collected.