Reddit Buyer Intent Lead Priority Scorer avatar

Reddit Buyer Intent Lead Priority Scorer

Pricing

Pay per usage

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Reddit Buyer Intent Lead Priority Scorer

Reddit Buyer Intent Lead Priority Scorer

Score imported Reddit posts and comments for buyer intent, ICP fit, reply risk, evidence snippets, CRM notes, and safe next actions. Use it after an Apify Reddit scraper, CSV export, social listening tool, or manual research.

Pricing

Pay per usage

Rating

0.0

(0)

Developer

Wit Nomad

Wit Nomad

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

20 hours ago

Last modified

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Ingest-first Apify Actor for prioritizing imported Reddit posts and comments. It turns raw Reddit rows into buyer-intent scores, reply-risk flags, evidence snippets, and CRM-ready next actions.

What it does

This Actor helps B2B SaaS founders, growth teams, agencies, and sales teams triage noisy Reddit exports. Feed it rows from existing Apify Reddit scrapers, CSV exports, social listening tools, spreadsheets, or manual research. It returns a ranked dataset that highlights:

  • recommendation requests and “best tool” threads
  • competitor complaints and alternative searches
  • pricing pressure, feature gaps, and implementation-help questions
  • ICP fit against your product/category/customer profile
  • reply risk and safe next actions such as reply_helpfully, route_to_crm, save_for_research, or ignore

Input

Required:

  • items — array of imported Reddit post/comment rows.

Optional:

  • targetProfile — product, ICP, competitor, subreddit, and keyword context.
  • maxItems — maximum rows to process; default 500.
  • processedAt — deterministic reference timestamp.

Common row aliases are supported:

  • text: title, body, selftext, text, comment, content, description
  • URL: url, permalink, postUrl, commentUrl, sourceUrl
  • author: author, username, user, profileName
  • subreddit: subreddit, community, source, channel
  • engagement: score, upvotes, numComments, commentsCount, commentCount
  • time: createdAt, createdUtc, postedAt, publishedAt, date

Output

Each dataset item includes:

  • leadId
  • sourceUrl
  • sourceType
  • subreddit
  • author
  • createdAt
  • title
  • textPreview
  • matchedProfile
  • intentScore
  • intentBand
  • intentTypes
  • icpFit
  • urgency
  • replyRisk
  • riskFlags
  • evidenceSnippets
  • recommendedAction
  • crmNote
  • replyAngle
  • processedAt

Example use cases

  • Run an existing Apify Reddit scraper, then score its dataset for B2B buyer intent.
  • Convert Reddit CSV exports into a prioritized CRM/customer-discovery queue.
  • Separate high-signal recommendation threads from generic brand mentions.
  • Preserve evidence snippets and reply-risk context before a human decides whether to engage.

Limitations

This Actor does not scrape Reddit. It does not log in to Reddit, use Reddit APIs, use proxies, or bypass access controls. It does not post to Reddit, post comments, vote, or automate engagement. It does not send DMs. It does not guarantee leads, demos, revenue, reply rates, moderator acceptance, or legal compliance. It does not guarantee legal outcomes.

The MVP is deterministic and does not call external AI APIs. Scores are transparent heuristic priorities over the text you supply.

  1. Collect public Reddit rows with an existing Apify Reddit scraper or your own CSV/export.
  2. Paste or pass those rows in items.
  3. Add a narrow targetProfile with competitors, target subreddits, pain keywords, and solution keywords.
  4. Review the output dataset and let a human decide whether and how to reply.

Safety posture

Use the output as prioritization and research support only. Always check subreddit rules and reply like a helpful participant, not a spam bot. The replyAngle field is intentionally a cautious direction, not an auto-posted message.