Reddit Sentiment Scraper — Analyze Posts & Comments

What does Reddit Sentiment Scraper do?

Reddit Sentiment Scraper extracts Reddit posts and comments and scores every text-bearing record for sentiment — positive, negative, or neutral with a confidence value. Point it at any subreddit, keyword search, or specific thread to measure how communities feel about a brand, product, or topic. No Reddit account or login required.

New to Apify? Sign up free and use the included $5 monthly platform credit to test this actor.

Key features

• 💬 Sentiment on every record — every post and comment is scored automatically; a sentiment object with score, label (positive / negative / neutral), and confidence is attached to every text-bearing item.
• 📝 Posts and comments scored — sentiment covers the full discussion tree, not just top-level posts; replies at any depth carry their own label and confidence.
• 🔎 Any subreddit, search, or thread — seed from a subreddit feed, keyword search, or specific post URL to measure mood in any community or around any topic.
• 📊 Aggregate at scale for trends — run on hundreds of posts to track brand or topic sentiment over time; export straight to a dashboard, spreadsheet, or data warehouse.
• 🤖 AI-ready text — body text is emitted as clean text, HTML, and Markdown — pipe directly into LLMs, RAG pipelines, or MCP tools without extra cleanup.
• 🧹 Lean output — choose a single description format and strip empty fields to keep dataset size down for high-volume runs.
• 🔑 No login or API key required — point the actor at any public Reddit URL or keyword and run; no Reddit account or app registration needed.

What data can you extract from reddit.com?

Every post and comment carries a sentiment object added automatically by the built-in scoring engine:

"sentiment": { "score": 4, "label": "positive", "confidence": 0.8 }

• score — numeric sentiment value (higher = more positive).
• label — one of positive, negative, or neutral. The scorer is conservative: a record is labelled positive or negative only when the signal is clear; ambiguous text defaults to neutral.
• confidence — a value between 0 and 1 indicating how strongly the text leans toward the assigned label.

Sentiment scoring is always on — every post and comment with readable text is scored. No input toggle is needed.

Beyond sentiment, records carry the full standard Reddit fields:

• Posts — title, body as text / HTML / Markdown, score, upvoteRatio, numComments, awardCount, author, community, postType, language, createdAt, and the canonical post url.
• Comments — postId, parentId, and depth for tree reconstruction, plus score, awardCount, author, createdAt, and body in text / HTML / Markdown.

Text bodies are emitted as clean text, HTML, and Markdown so the output feeds straight into LLMs, RAG datasets, and dashboards without extra cleanup.

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 4 more parameters

Input examples

Brand sentiment across Reddit — Search for a brand name and score every matching post and comment for sentiment.

→ Posts and comments mentioning Tesla, each with a sentiment label and confidence.

{
  "searchTerms": [
    "Tesla"
  ],
  "sort": "new",
  "maxItems": 100,
  "maxComments": 50
}

Community sentiment in a subreddit — Measure the overall mood of a subreddit by scoring its recent posts and comments.

→ Recent posts from r/apple and their comments, all sentiment-scored.

{
  "startUrls": [
    {
      "url": "https://www.reddit.com/r/apple/"
    }
  ],
  "maxItems": 100,
  "maxComments": 100
}

Topic sentiment tracking — Track how Reddit feels about a topic by pulling top-ranked posts and scoring them.

→ Top posts about remote work with sentiment labels on every post and comment.

{
  "searchTerms": [
    "remote work"
  ],
  "sort": "top",
  "maxItems": 200
}

Quick sentiment pulse — recent mentions — Grab the newest posts mentioning a product or keyword for a fast sentiment snapshot.

→ 25 recent posts mentioning ChatGPT, scored with comments.

{
  "searchTerms": [
    "chatgpt"
  ],
  "sort": "new",
  "maxItems": 25,
  "maxComments": 50
}

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 sentiment

{
  "itemType": "post",
  "id": "t3_1tqwksq",
  "url": "https://www.reddit.com/r/technology/comments/1tqwksq/chatgpt_just_saved_me_hours_of_debugging/",
  "title": "ChatGPT just saved me hours of debugging",
  "body": "I was stuck on a race condition for two days. Asked ChatGPT, it spotted the issue in seconds. Genuinely impressed.",
  "score": 842,
  "upvoteRatio": 0.97,
  "numComments": 134,
  "awardCount": 3,
  "author": "dev_jasper",
  "community": "technology",
  "postType": "self",
  "language": "en",
  "createdAt": "2026-06-10T09:14:22.000Z",
  "sentiment": {
    "score": 4,
    "label": "positive",
    "confidence": 0.8
  }
}

How to scrape reddit.com

1. Go to Reddit Sentiment 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

• Track how a brand or product is perceived on Reddit over time — spot positive spikes after launches and negative dips after incidents.
• Compare sentiment toward competing products or services by running parallel searches and aggregating label distributions.
• Monitor a product launch: search the product name on launch day and score posts and comments as they appear.
• Market and audience research — understand what Reddit communities genuinely feel about a topic, not just what they say.
• Flag negative threads for support or PR response by filtering for high-confidence negative posts in relevant subreddits.
• Track community mood over time with scheduled runs on the same subreddit or keyword — export to a dashboard for trend analysis.

How much does it cost to scrape reddit.com?

Reddit Sentiment 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 Sentiment Scraper with other apps?

Yes. Reddit Sentiment 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 Sentiment 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 Sentiment 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.