Reddit Email Scraper — Extract Emails from Posts & Comments

What does Reddit Email Scraper do?

Reddit Email Scraper turns Reddit into a contact list. Point it at any subreddit, post, profile, or keyword search and it mines post bodies, comment threads, and user profiles for real email addresses — returning only the records that carry one. Each result includes the extracted emails, the surrounding text in clean text / HTML / Markdown, and any social profiles and outbound links found alongside. No Reddit account, login, or API key required.

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Key features

• 📧 Email extraction, contact-only output — returns only Reddit records that contain a real email address, pulled from post bodies, comment threads, and profiles into a clean emails array. You pay for contacts, not empty rows.
• 🎯 Built for outreach — every record is a ready-to-use lead: the email plus the surrounding post or comment so you know the context before you reach out.
• 🔗 Bonus socials & links — alongside emails, each record carries a structured socialProfiles map (LinkedIn, X, GitHub, Instagram…) and extractedUrls, for extra outreach signal at no extra cost.
• 🔎 Search, subreddits & profiles — mine emails from a subreddit feed, a keyword search across Reddit, a single thread, or specific user profiles — mix and match by dropping in any Reddit URL.
• 💬 Comment-thread coverage — emails are often buried in replies, so the actor scans nested comment threads (with depth and volume controls), not just top-level posts.
• 🤖 AI-ready text — every body is emitted as clean text, HTML, and Markdown, ready for enrichment, LLMs, and automation pipelines.
• 🧹 Lean, flexible output — strip empty fields and pick a single description format to keep contact lists small and import-ready.
• 🔑 No login or API key required — point the actor at any public Reddit URL or search term and run; no Reddit account or app registration needed.

What data can you extract from reddit.com?

This actor returns only records that contain at least one extracted email — every row is a usable contact, not noise. Each record keeps a stable itemType (post, comment, or user) so you can tell the source apart inside a single dataset.

• emails — array of de-duplicated, lowercased email addresses pulled from the body text and any mailto: links. Tracking, no-reply, and asset-filename false positives are filtered out.
• socialProfiles — structured map (linkedin, twitter, github, instagram, facebook, youtube, tiktok, and more) parsed from the same text.
• extractedUrls — outbound (non-Reddit) website links mentioned in the content.
• Context fields — title, body as text / HTML / Markdown, score, author, community, createdAt, and the canonical url, so you can see exactly where each contact came from.

Emails appear most often in hiring, freelance, founder, and indie-maker communities (for example r/forhire, r/freelance, r/startups, r/Entrepreneur). Point the actor at the subreddits or searches where your audience shares contact details. Records without any email are skipped, so you only pay for contacts.

Input

Configure the actor through the input schema in Apify Console.

Key parameters:

• startUrls — Reddit URLs to scrape — subreddits, post pages, user profiles, community pages, or search result pages. Each URL determines what type of content is fetched.
• searchTerms — Search Reddit for these terms. Each entry becomes an independent search. Search posts are lightweight discovery records (plus their comments) — see Search Type.
• searchType — Type of results to return when using Search Terms. Post results are lightweight discovery records — id, url, title, subreddit and NSFW flag — plus their comment threads; scrape a result's URL directly for its full post fields (author, body, score, timestamp). (default: "posts")
• sort — Sort order for posts and search results. (default: "hot")
• time — Restrict subreddit-feed results to a time window (applies to Top sort on feeds; search is not time-windowed). (default: "all")
• includeNSFW — Include posts and communities marked as NSFW (18+). (default: false)
• postDateLimit — Skip posts older than this ISO-8601 date (e.g. "2024-01-01"). Applies to subreddit feeds and post URLs; search results carry no date and are not filtered. Leave blank for no date limit.
• maxItems — Maximum total records to save across all sources (posts, comments, users, communities). (default: 100)
• maxComments — Maximum number of comments to collect from each post page. (default: 200)
• includeCollapsed — Expand and include comments that are initially collapsed (controversial or low-score). Enables deeper thread coverage, up to the comment and depth limits you set. (default: true)
• commentDepth — Maximum reply nesting depth to collect (1 = top-level only). (default: 10)
• skipComments — Do not collect comments from post pages — output posts only. (default: false)
• ...and 5 more parameters

Input examples

Emails from a hiring subreddit — Scan a freelance/hiring subreddit's posts and comments for contact emails.

→ Only r/forhire records that contain an email address.

{
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/forhire/"
    }
  ],
  "sort": "new",
  "maxItems": 50,
  "maxComments": 50
}

Search posts for freelance contacts — Run keyword searches across Reddit and keep only posts that expose an email.

→ Email-bearing posts matching the search terms.

{
  "searchTerms": [
    "freelance available for hire"
  ],
  "searchType": "posts",
  "sort": "new",
  "maxItems": 100
}

Mine a community's comments for emails — Founder and startup threads often share emails deep in the comments.

→ Email-bearing posts and comments from r/startups.

{
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/startups/"
    }
  ],
  "maxItems": 50,
  "maxComments": 200
}

Output

Each run produces a dataset of structured Reddit records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.

Example Reddit record

{
  "itemType": "post",
  "id": "t3_1ttjtwv",
  "url": "https://www.reddit.com/r/programming/comments/1ttjtwv/your_process_memory_is_a_file_the/",
  "title": "Your process' memory is a file: The underappreciated gem that is /proc/<pid>/mem",
  "body": null,
  "bodyHtml": null,
  "contentHref": "https://lcamtuf.substack.com/p/weekend-trivia-your-process-memory",
  "postType": "link",
  "language": "en",
  "score": 129,
  "upvoteRatio": 0.9708029197080292,
  "numComments": 1,
  "awardCount": 0,
  "author": "mttd",
  "authorId": "t2_6gkbb",
  "community": "r/programming",
  "communityId": "t5_2fwo",
  "createdAt": "2026-06-01T08:32:12.581+02:00",
  "icon": "https://www.redditstatic.com/avatars/defaults/v2/avatar_default_7.png",
  "nsfw": false
}

Example post record (with extracted contact)

{
  "itemType": "post",
  "id": "t3_1abc234",
  "url": "https://www.reddit.com/r/forhire/comments/1abc234/hiring_freelance_react_developer/",
  "title": "[Hiring] Freelance React developer for a 4-week project",
  "descriptionText": "We need a React dev for a 4-week build. Budget is flexible. Email me at jane@studio.dev or DM — portfolio at https://janedoe.dev.",
  "score": 12,
  "author": "jane_hires",
  "community": "r/forhire",
  "createdAt": "2026-06-10T09:22:00.000Z",
  "emails": [
    "jane@studio.dev"
  ],
  "extractedUrls": [
    "https://janedoe.dev"
  ],
  "socialProfiles": {
    "linkedin": null,
    "twitter": null,
    "github": null
  }
}

How to scrape reddit.com

1. Go to Reddit Email Scraper in Apify Console.
2. Configure the input.
3. Set maxItems to control how many results you need.
4. Click Start and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.

Use cases

• Build B2B outreach lists from freelance, hiring, and founder communities.
• Source candidates and freelancers who post their email in r/forhire and r/freelance.
• Find indie makers and startup founders to pitch, with the thread that surfaced them as context.
• Enrich an existing CRM with emails and social profiles mentioned in relevant subreddits.
• Monitor specific subreddits on a schedule and collect new contacts as they appear.
• Combine extracted emails, social handles, and websites into a single ready-to-import contact file.

How much does it cost to scrape reddit.com?

Reddit Email Scraper uses pay-per-event pricing. You pay a small fee when the run starts and then for each result that is actually produced.

• Run start: $0.008 per run
• Per result: $0.002 per Reddit record

Example costs:

• 10 results: $0.028
• 25 results: $0.058
• 100 results: $0.21
• 200 results: $0.41
• 500 results: $1.01

FAQ

How many results can I get from reddit.com?

The number of results depends on the search query and available listings on reddit.com. Use the maxItems parameter to control how many results are returned per run.

Can I integrate Reddit Email Scraper with other apps?

Yes. Reddit Email Scraper works with Apify's integrations to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.

Can I use Reddit Email Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Reddit Email Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use a single descriptionFormat and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape reddit.com?

This actor extracts publicly available data from reddit.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.

Your feedback

If you have questions, need a feature, or found a bug, please open an issue on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — no credit card required.

1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click Start — export results as JSON, CSV, or Excel

Need more later? See Apify pricing.