⏱️ Subreddit Activity Tracker: Posting Cadence

REDDIT MARKET SIGNALS SUITE Five focused monitors for feedback, pricing evidence, switch signals, activity cadence, and announcements.
Feedback clusters Recurring product-request themes	Pricing evidence Prices, budgets, and paid workarounds	Switch signals Product migration evidence	Activity cadence ➤ You are here	Announcements Keyword-matched community posts

Measure how quickly recent posts arrive in one subreddit. Get post counts, observed time windows, posting-gap statistics, and repeat-run changes for community and content planning.

🧮 Post counts See how many recent entries have usable times

⏱️ Time gaps Compare minimum, median, and maximum gaps

🪟 Honest windows Keep the observed time range beside every result

🔁 Change tracking Compare the current median gap with the previous run

Use this subreddit activity tracker when generic Reddit analytics are too broad. It measures recent posting cadence without claiming audience size or engagement.

🔍 What this Actor does

Enter one public subreddit and choose a recent-post limit. The Actor returns one structured activity snapshot for the observed window.

The snapshot includes usable post count, oldest and newest publication times, observed minutes, and minimum, median, and maximum posting gaps.

Repeat runs can show whether the median gap changed. The result stays tied to its recent window, so you can interpret it honestly.

⚡ Track community tempo without a misleading member count. Use recent posting gaps as an observed activity snapshot, not a growth claim.

👥 Who uses it

• Community strategists comparing posting tempo across focused research runs
• Reddit marketers planning community-specific publishing workflows
• Agencies preparing recurring subreddit activity reports
• Social content teams watching a community become faster or slower
• Researchers exporting cadence snapshots to Google Sheets or Looker Studio

🚀 How to use it

STEP 1 Choose a subreddit Enter the public community name without r/.

STEP 2 Set the window Choose 1 to 25 recent entries to measure.

STEP 3 Compare snapshots Export the result or schedule later runs for change tracking.

📥 Input

Field	Type	Required	Description
subreddit	String	Yes	One public subreddit name without r/. The default is vscode.
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
type	String	Record type, returned as POSTING_CADENCE_SNAPSHOT.
status	String	NEW, CHANGED, or UNCHANGED compared with the previous complete run.
subreddit	String	Community name used for the snapshot.
fetchedAt	String	Time when this snapshot was collected.
entryCount	Integer	Recent entries returned by the public source.
usablePostCount	Integer	Entries with usable publication times.
oldestPublished	String	Oldest usable time in this observed window.
newestPublished	String	Newest usable time in this observed window.
observedWindowMinutes	Number	Minutes between the oldest and newest usable posts.
minGapMinutes	Number	Smallest consecutive posting gap in the window.
medianGapMinutes	Number	Median consecutive posting gap in the window.
maxGapMinutes	Number	Largest consecutive posting gap in the window.
previousMedianGapMinutes	Number	Median gap from the previous comparable run.
medianGapDeltaMinutes	Number	Current median gap minus the previous median gap.
coverageStatus	String	Confirms the result covers a recent window.
windowLimitation	String	Plain-language reminder that the window is not complete history.
activityInferenceAvailable	Boolean	Shows whether enough usable posts existed for gap analysis.

This compact example comes from a verified cloud run:

{
    "status": "UNCHANGED",
    "subreddit": "vscode",
    "entryCount": 10,
    "usablePostCount": 10,
    "observedWindowMinutes": 1447.52,
    "medianGapMinutes": 142.23,
    "previousMedianGapMinutes": 142.23,
    "medianGapDeltaMinutes": 0,
    "coverageStatus": "RECENT_WINDOW"
}

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

🔄 Repeat runs and scheduling

Run the same subreddit and limit again to receive CHANGED or UNCHANGED status. Comparable runs also show the median-gap difference.

Use Apify schedules for recurring activity snapshots. 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 subreddit history.
• The Actor does not return member counts, online counts, votes, comments, or engagement rates.
• It does not predict the best time to post.
• Empty or one-entry windows do not mean the subreddit has zero activity.
• Compare snapshots only when their source and entry limit match.
• 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.

⭐ Enjoying Subreddit Activity Tracker: Posting Cadence?

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🔌 Integrations

Send cadence snapshots to Google Sheets, Looker Studio, Slack, Microsoft Teams, n8n, Make, Zapier, or another Apify integration.

Common workflows include weekly activity reports, community comparisons, and alerts when posting tempo changes.

❓ FAQ

Is this a subreddit member-count or audience-growth tracker?

No. It measures publication times in one bounded recent window.

Does it calculate the best time to post?

No. It reports observed gaps and does not model engagement.

What does a larger median gap mean?

Posts were farther apart in that observed window. It does not prove a long-term trend.

Why can gap fields be empty?

At least two usable publication times are needed to calculate a gap.

What happens when Reddit limits a request?

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

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