💸 Reddit Willingness-to-Pay Evidence Miner

REDDIT MARKET SIGNALS SUITE Five focused monitors for feedback, pricing evidence, switch signals, activity cadence, and announcements.
Feedback clusters Recurring feature-request themes	Pricing evidence ➤ You are here	Switch signals Explicit product migration evidence	Activity cadence Recent posting-gap snapshots	Announcements Keyword-matched community posts

Find the prices, budgets, and paid workarounds people state in their own words. Turn recent public Reddit discussions into exact, source-linked willingness-to-pay evidence for pricing and product research.

💬 Exact quotes Review the statement behind every result

💵 Clean amounts Compare currencies, ranges, and billing periods

🔗 Source links Trace each pricing signal to its public source

🔁 Repeat ready Separate newly found evidence from known records

Use this Reddit social listening Actor to validate pricing assumptions with observed evidence. It finds literal economic statements without sentiment scores or AI summaries.

🔍 What this Actor does

Choose one public subreddit or one public Reddit post. The Actor inspects a bounded recent window and returns direct economic evidence.

It can identify these evidence types:

• Currency amounts and ranges
• Subscription payments and billing periods
• Paid workarounds
• Hiring and contractor spending
• Explicit budgets
• ISO-formatted launch dates

Every result keeps the exact excerpt and public source URL. Missing values stay empty instead of becoming invented labels.

⚡ Use evidence, not a guessed intent score. Review the original wording before changing a price, package, or roadmap.

👥 Who uses it

• SaaS founders validating pricing before building
• Product managers collecting budget and payment evidence
• Pricing strategists comparing amounts and billing periods
• Researchers building source-linked customer evidence libraries
• Agencies exporting findings to Google Sheets, Airtable, or Notion

🚀 How to use it

STEP 1 Choose a source Enter one subreddit name or public post URL.

STEP 2 Select evidence Keep the economic statement types and literal terms you need.

STEP 3 Run and export Review exact evidence, then export or schedule another run.

📥 Input

Field	Type	Required	Description
sourceType	String	No	Choose subreddit or postUrl. The default is subreddit.
source	String	Yes	One subreddit name or one public Reddit post URL.
evidenceTypes	Array	No	Select amounts, subscriptions, paid workarounds, hiring, budgets, or launch dates.
requiredTerms	Array	No	Keep results containing at least one literal term you provide.
limit	Integer	No	Inspect 1 to 25 recent entries. The default is 10.

The Actor needs no Reddit login, account token, proxy setting, or private source access.

📤 Data you receive

Field	Type	Description
status	String	NEW on first discovery or KNOWN on a later matching run.
evidenceType	String	The direct economic statement category.
excerpt	String	Exact source text that produced the record.
sourceUrl	String	Public link to the supporting Reddit post or comment.
sourceKind	String	Whether the evidence came from a post or comment.
amountRaw	String	Original matched amount text when present.
amount	Number	Normalized single amount when unambiguous.
amountMin	Number	Lower bound for an explicit range.
amountMax	Number	Upper bound for an explicit range.
currency	String	Currency code when the source makes it clear.
billingPeriod	String	Stated billing period when present.
launchDate	String	Explicit launch date when present.
normalizationUncertain	Boolean	Shows when a normalization needs human review.
subreddit	String	Source community name when available.
observedAt	String	Publication or update time from the source.

This example comes from a verified cloud run:

{
    "status": "KNOWN",
    "evidenceType": "AMOUNT",
    "amountRaw": "$422",
    "amount": 422,
    "currency": "USD",
    "excerpt": "$422, up from the normal average of about $25.",
    "sourceUrl": "https://www.reddit.com/r/SaaS/comments/1vmgewa/my_ci_bill_went_up_16x_because_of_ai/",
    "sourceKind": "POST",
    "subreddit": "saas"
}

Download results as JSON, CSV, Excel, XML, or HTML from the Apify dataset.

🔄 Repeat runs and scheduling

Run the same configuration again to distinguish NEW evidence from KNOWN evidence. This makes scheduled pricing research easier to review.

Use Apify schedules for recurring checks. A five-minute or longer interval is recommended because Reddit may temporarily limit frequent requests.

⚠️ Coverage and responsible use

• Results represent a bounded recent source window, not complete Reddit history.
• A valid empty result means no matching evidence appeared in the observed window.
• Amounts are observed statements, not proof of market demand or statistical willingness to pay.
• Deleted, private, restricted, or unavailable content is not collected.
• Failed or incomplete runs do not advance the saved comparison baseline.
• Commercial use requires the permissions and policy review applicable to your use case.

💰 Pricing

Your cost follows the Apify platform usage shown for each run. Each batch checks one bounded source window to keep resource use predictable.

Review the current run estimate in Apify before starting. The Actor has no external subscription or credential requirement.

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🔌 Integrations

Send results to Google Sheets, Airtable, Notion, Slack, n8n, Make, Zapier, or your preferred Apify integration.

Common workflows include a pricing evidence library, a weekly budget-signal review, and source-linked research for product discovery.

❓ FAQ

Does this Actor use AI to decide what people will buy?

No. It uses direct statement patterns and preserves the exact source text for review.

Does a price mention prove willingness to pay?

No. It is observed economic evidence. You decide whether the context supports your research question.

Can it search all Reddit history?

No. It checks a bounded recent window from one public source per run.

Can I monitor one public post instead of a subreddit?

Yes. Choose postUrl and provide one public Reddit post URL.

What happens when Reddit limits a request?

The run reports the problem and protects the previous comparison baseline.

🔗 Other actors

• Hacker News Job Scraper: Who is Hiring Posts ↗ - Collect structured hiring posts for market and talent research.
• Serchen Scraper: B2B Software Reviews & Directory Leads ↗ - Extract B2B software reviews and vendor listings.
• Quora Q&A Change Monitor ↗ - Track changes to public questions and answers.
• Threads Monitor: Public Post Changes ↗ - Monitor public post changes and mention evidence.