How to Monitor Reddit Daily and Create a Summary You Can Verify

A daily Reddit summary should tell you what changed, why it matters, and where the evidence came from. It should also tell you when the evidence is incomplete. If one subreddit failed to load, “no complaints today” is not a finding. If the same post matched three searches, it is still one post. If an old thread received a new comment, that is an update to an existing conversation rather than a post published today. This guide shows how to collect a fixed daily window with BrowserAct, deduplicate

Define “today” with a timezone and closed window

Choose the report timezone before scheduling anything. Store timestamps in UTC, but calculate the report window in the team’s operating timezone.

Use a half-open interval:

report_start <= event_time < report_end

For a report delivered at 08:00 Asia/Shanghai, you might summarize the preceding local calendar day from 00:00 inclusive to the next 00:00 exclusive. A rolling 24-hour window is also valid, but name it clearly. Do not switch between calendar-day and rolling windows without changing the report definition.

Record these values on every summary:

• report_date;
• report_timezone;
• report_start_utc;
• report_end_utc;
• generated_at;
• policy_version;
• summary_id.

The explicit boundary prevents a post at midnight from appearing in two daily briefs or disappearing between them.

Separate publication, discovery, and change

A daily monitor observes three different clocks:

Store both published_at and first_seen_at. For comments, also preserve the parent post and comment IDs. Use last_changed_at for edits or tracked metric changes.

Make coverage the first section of the brief

Readers should know whether the report is complete before they read its conclusions.

Include a compact coverage block:

Coverage: 7 of 8 sources healthy
Incomplete source: r/example — access_blocked at 01:14 UTC
Window: 2026-09-17 00:00–24:00 Asia/Shanghai
Items collected: 184
New canonical items: 27
Qualified items: 9

Use these report statuses:

Decide the summary structure before asking AI to write

A useful daily brief can fit into seven sections:

1. Coverage and status: window, expected sources, missing sources, and run health.
2. What changed: the two or three most important differences from the previous comparable day.
3. Themes: grouped observations with counts and representative source links.
4. Action queue: urgent items, owner, reason, and next review step.
5. Notable discussions: individual posts or comment threads worth opening.
6. Carryover and updates: older conversations that changed materially.
7. Method note: policy version, exclusions, and confidence or coverage limits.

This format prevents the model from turning a daily dataset into a generic essay. Every section has a job and an evidence requirement.

Build the daily collection in BrowserAct

BrowserAct’s Reddit Intelligence Monitor is currently documented as an n8n-based workflow that reads keywords and competitor subreddits from Google Sheets, collects Reddit data with BrowserAct, uses AI for summaries, and stores structured reports in Google Sheets on a schedule.

The template provides the overall path. The prompt below adds a fixed reporting window, canonical item labels, source coverage, and evidence IDs so the summary can be checked.

1. Open BrowserAct Dashboard

Click the left-side + to create a Bot, paste the prompt into the Agent input, or open the Reddit Intelligence Monitor template and select Run task.

2. Copy the complete prompt

Replace the example targets and reporting window. Supply the previous successful item state and the previous comparable summary metrics.

Create a reusable Bot that collects public Reddit posts for a fixed daily reporting window and returns both a validated evidence table and an evidence-linked daily summary draft.
 
Reusable inputs:
- summary_id: reddit_daily_2026-09-17_asia-shanghai
- monitor_id: reddit_daily_example
- policy_version: v1
- report_timezone: Asia/Shanghai
- report_start_utc: 2026-09-16T16:00:00Z
- report_end_utc: 2026-09-17T16:00:00Z
- targets:
  - target_id: keyword_social_listening
    source_url: https://www.reddit.com/search/?q=%22social%20listening%22&sort=new
    max_items: 50
  - target_id: community_saas
    source_url: https://www.reddit.com/r/SaaS/new/
    max_items: 50
  - target_id: community_marketing
    source_url: https://www.reddit.com/r/marketing/new/
    max_items: 50
- include_rules:
  - product feedback, buying questions, recurring workflow problems, competitor complaints, and emerging topic evidence
- exclude_rules:
  - jobs, unrelated promotions, memes without relevant discussion, and duplicate cross-query matches
- previous_item_state: CSV or JSON from the last successful run
- previous_summary_metrics: optional metrics from the previous comparable complete day
 
For every target independently:
1. Open the exact public URL and validate that the expected Reddit listing or search page loaded.
2. Collect actual post cards up to max_items and include enough older items to reconnect with previous successful coverage.
3. Exclude ads, navigation, suggested communities, sidebar modules, and unrelated pinned announcements.
4. Continue healthy targets when one target fails. Do not convert a failure into zero activity.
 
Extract:
- summary_id
- monitor_id
- policy_version
- target_id
- post_id when visible
- canonical_post_url
- subreddit
- title
- visible_post_text when available
- author when visible
- published_at or visible age
- first_seen_at from previous state when known
- collected_at
- score when visible
- comment_count when visible
- is_pinned
 
Identity and time rules:
- Match the same post across targets by post_id or canonical_post_url.
- Preserve all matched target_ids on the canonical item instead of counting the post several times.
- Label published_in_window when published_at is within report_start_utc inclusive and report_end_utc exclusive.
- Label discovered_in_window when first_seen_at is in the window but published_at is earlier.
- Label updated_in_window when a known item changed in the window.
- Label outside_window when none of those conditions applies.
- If the visible time cannot be converted confidently, preserve it and route the item to time_review.
 
Qualification rules:
- Apply include_rules and exclude_rules to canonical items only.
- Return relevant: true or false, signal_type, urgency, confidence, evidence sentence, and matched_rule.
- Use visible source content only. Do not infer demographics, intent, or sentiment without textual evidence.
- Route uncertain or high-impact classifications to human_review.
 
Return one source-health row per target with:
- target_id
- expected_url
- final_url
- rows_collected
- reached_previous_coverage
- health_status: healthy, possible_gap, failed, access_blocked, or unexpected_empty
- error_summary when applicable
 
Before drafting the summary:
- Compute all counts from the canonical evidence table, not from model memory.
- Compare with previous_summary_metrics only when the current and previous reports use equivalent targets, window length, policy version, and healthy coverage.
- If coverage differs, state that the comparison is not like-for-like.
- Do not describe no activity for a failed source.
 
Create a daily summary draft with exactly these sections:
1. Coverage and status
2. What changed
3. Themes
4. Action queue
5. Notable discussions
6. Carryover and updates
7. Method note
 
For every theme, action, and notable discussion:
- include supporting item count;
- include one to three canonical Reddit URLs;
- distinguish observation from interpretation;
- state low confidence or conflicting evidence;
- never quote more text than necessary;
- never invent a URL, count, author, metric, or conclusion.
 
If no item qualifies and all required sources are healthy, create a short healthy_zero summary. If required coverage is insufficient, return failed and withhold findings.
 
Return:
1. a CSV-ready canonical evidence table;
2. a source-health table;
3. a time-review queue;
4. a human-review queue;
5. computed daily metrics;
6. the evidence-linked summary draft;
7. a manifest listing every item ID used in each summary section.
 
Use public or authorized pages only. Do not join communities, vote, comment, message users, or change any account. If Reddit requests login, CAPTCHA, 2FA, age confirmation, membership approval, or restricted access, pause that target and ask me to complete it manually.

Freeze the evidence first: calculate and store the daily dataset and metrics before summary generation. A rerun should summarize the same manifest unless a reviewer explicitly opens a corrected version.

Scrape data from any website. Describe the data you need. Get a Bot—a reliable, reusable scraper. Try: “Collect these Reddit sources for yesterday’s fixed window and create a daily brief where every theme links back to its supporting posts.” Get your Bot — Free

3. Handle login only when asked

The workflow targets public Reddit pages. If a source presents login, CAPTCHA, 2FA, an age gate, membership approval, or restricted access, pause that source for authorized manual handling.

Keep its previous successful checkpoint and mark the report partial or failed according to the coverage policy. Do not summarize an access block as “no new posts.”

4. Review, dedupe, and export

Before scheduling the daily brief, run a two-day test:

1. Confirm the UTC boundaries match the intended local calendar day.
2. Check one item near each boundary and verify it appears in exactly one report.
3. Confirm one post matching several targets becomes one canonical item with multiple match reasons.
4. Verify that an older post first found today is labeled discovered_in_window, not published today.
5. Open every URL used in the summary and verify the associated count, theme, and interpretation.
6. Simulate one failed source and confirm the warning appears before the findings.
7. Export the evidence table, source health, review queues, metrics, summary draft, and section manifest.

Approve the summary only after the manifest reconciles with the evidence rows. Store the approved version separately from the first AI draft.

The publication version should include current screenshots from two adjacent reporting windows and a redacted summary manifest. This review draft does not fabricate daily findings.

Calculate metrics before summarization

The model should write prose from supplied metrics; it should not count rows itself.

Compute:

• canonical items collected;
• items published in the window;
• late discoveries;
• updated carryover items;
• qualified and excluded items;
• immediate, review, and digest counts;
• distinct subreddits and authors when appropriate;
• theme-level item counts;
• healthy, incomplete, and failed sources;
• duplicates removed across targets;
• comparison eligibility with the previous day.

Store the query or calculation version. If someone asks why the brief says nine qualified items, the evidence table should reproduce nine rows under the same policy.

Compare only equivalent days

“Mentions rose 40%” is misleading when yesterday monitored eight sources and today monitored five.

Before calculating change, compare:

• source set;
• healthy-source set;
• window length and timezone;
• keyword and exclusion policy;
• collection limits;
• qualification prompt and model version;
• canonicalization rules.

If they differ materially, use one of these approaches:

1. compare only the intersection of healthy sources;
2. recalculate the previous day with the current policy when the raw archive supports it;
3. withhold the percentage and explain the coverage change.

Reddit Pro’s current Trends documentation exposes conversation volume and change from a previous period for supported smart keywords, while keeping most-discussed content and communities as separate views. Apply the same discipline: volume, change, engagement, and distribution are different claims.

Build themes from independent evidence

A theme should not be one post with a broad label.

For each theme, include:

• a precise label;
• number of canonical items;
• number of independent authors;
• participating subreddits;
• one-sentence observation;
• interpretation or implication on a separate line;
• representative URLs;
• confidence and disagreement notes.

Example:

Theme: Teams want comment-level monitoring without duplicate alerts
Evidence: 4 posts, 4 authors, 3 communities
Observation: Each source describes repeated alerts or difficulty separating new comments.
Interpretation: Deduplication may be a stronger content and product angle than generic real-time monitoring.
Sources: [URL 1] [URL 2] [URL 3]
Confidence: Medium — small daily sample; review again over seven days.

One high-impact post belongs under notable discussions. Promote it to a theme only after independent corroboration or label it explicitly as a single-source signal.

Keep new findings separate from carryover

Daily briefs become repetitive when every active thread is retold each morning.

Use these rules:

• include a post in new findings only on its first qualifying day;
• move it to carryover only when a tracked field changes materially;
• record the change, such as five new comments or a visible edit;
• suppress unchanged known items;
• keep long-running topics in a trend table, not as repeated “new” headlines;
• retire a carryover item after a defined quiet period.

The digest should answer “what is new since the last report?” rather than “what can still be found on Reddit?”

Write actions with owner and evidence

Every action item needs:

• owner or team;
• urgency;
• visible reason;
• source URL;
• required decision;
• due time when urgency is real;
• review status.

Avoid automatic public replies. A summary can recommend that someone review a discussion, but community rules, account context, and tone still need human judgment.

Deliver one version and preserve revisions

Give each draft a stable summary_id and version:

reddit_daily_2026-09-17_asia-shanghai:v1

When a reviewer corrects a theme or adds a missing source, save v2 with a change note. Do not silently overwrite the version that was already delivered.

Use a deterministic delivery ID derived from the summary ID, version, and destination. Record the email, Slack, Telegram, or document receipt. A retry should reuse the same delivery event instead of generating another daily brief.

Use a healthy-zero template

A day with no qualified items should not require a full AI essay. Use a short template:

Reddit daily monitor — no qualified items
Coverage: 8 of 8 required sources healthy
Window: [start] to [end] [timezone]
Collected: 143 canonical items
Excluded: 143 under policy v3
Review queue: 0
Next scheduled run: [time]

If coverage is incomplete, replace it with a failure or partial-coverage notice. This keeps “nothing happened” distinct from “we do not know.”

Review summary quality every week

Track:

• evidence-link validity;
• unsupported statement count;
• duplicate topic count;
• reviewer correction rate;
• action acceptance rate;
• late-discovery count;
• incomplete-report rate;
• percentage of briefs that are healthy zero;
• cost per reviewed useful item;
• time from report end to delivery.

Reddit for Business currently recommends a daily review cadence for fast-moving industries or well-known brands and a weekly cadence for steadier niches. It also describes weekly emails that highlight conversation-volume changes, newly active communities, and emerging related terms. Use cadence and sections that match the market rather than producing a long daily report by habit.

Final checklist

Before delivering a daily Reddit summary, confirm that:

• the timezone and half-open reporting window are recorded;
• publication, discovery, and update dates are separate;
• canonical IDs remove cross-query duplicates;
• every required source has a health row;
• the summary status reflects coverage;
• all counts are computed before AI writing;
• comparison days have equivalent coverage and policy;
• each theme has independent evidence and source links;
• observations and interpretations are distinct;
• unchanged carryover items are suppressed;
• action items have an owner and visible reason;
• every summary section maps to an evidence manifest;
• healthy zero and incomplete coverage use different templates;
• the approved version and delivery receipt are preserved.

Frequently asked questions

What should a daily Reddit summary include?

Coverage, what changed, evidence-linked themes, an action queue, notable discussions, carryover updates, and a short method note. Routine raw matches belong in the evidence table, not the prose.

Should the report summarize posts, comments, or both?

Use the unit that matches the decision. Posts are usually enough for market and trend discovery. Include comments when replies contain the feedback, objection, or intent you need, and preserve their parent post context.

How long should the summary be?

Long enough to support decisions, short enough to scan. A healthy day may need five findings; a healthy-zero day needs only status and counts. Put supporting detail behind source links.

Can AI generate the entire daily report automatically?

AI can draft themes and prose after the dataset, counts, coverage, and source manifest are fixed. High-impact actions and low-confidence clusters should still be reviewed.

What if the monitor finds an important old post today?

Include it as a late discovery with its original publication time. Do not present it as a new post, but do route it for action if the content is still relevant.