Reddit Keywords Pro Use Cases and Operating Playbooks

Quick start overview

Query Reddit by terms utilizing advanced parameters like subredditFilter, subredditBlocklist, dateFrom/dateTo, minScore, maxAgeDays, excludeNsfw, authorBlocklist, and keywordRequireAll. The most practical approach is selecting a specific workflow, establishing criteria before collection, and executing a small test run. The playbooks below explain how to transform raw rows into verified intelligence for an analyst or operator.

Define operational parameters before scraping

Draft a single sentence outlining your target objective, audience, and qualification rule. Next, establish the deliverable format, such as a summary brief, comparative table, or delta report. Without a defined objective, gathering additional rows will not improve the utility of your dataset.

Separate mandatory criteria from optional attributes. Mandatory rules determine whether a record enters the dataset. Optional fields provide supplementary context without discarding a valid item. Build an exclusion policy and an uncertain review bucket to handle ambiguous records effectively.

Practical use cases

These use cases come from Reddit Keywords Pro's published documentation. Each is expanded into an operating pattern so the Reddit Keywords Pro output has a purpose beyond collection.

Use case 1: 📢 Perform Market Research

Outcome: Track discussions around your product, brand, or niche.

Question to answer: What changed since the previous collection, and which changes deserve action now?

Configure: Start with keywordRequireAll (When multiple keywords given, also dedupe & only emit posts whose title/content contains ALL of them. Default: each keyword runs independently (OR).), keywords (List of keywords to search. Each runs as a separate Reddit search.), resultLimit (Max posts per keyword (1-1000).). Use the narrowest Reddit Keywords Pro values that represent the real task, keep the first result set small, and record why each selected input matters to the Reddit Keywords Pro outcome.

Working method: Store every run under its collection date, key records by a durable identifier rather than position or display text, and only escalate a difference once it has been confirmed against two consecutive runs.

Deliverable: Create a per-run delta report tagging each change as new, removed, or altered, with the field that triggered it. Include the Reddit Keywords Pro source identifier and the collected fields behind every Reddit Keywords Pro decision.

Stop condition: Pause when the same field flips back and forth across runs without a clear cause, or the source's structure shifted mid-comparison. Fix the Reddit Keywords Pro question, comparison rule, or configuration before expanding the Reddit Keywords Pro run.

Use case 2: 💬 Conduct Sentiment Analysis

Outcome: Collect Reddit data for NLP or public opinion analysis.

Question to answer: Which themes recur, who expresses them, and which examples best explain the pattern?

Configure: Start with keywords (List of keywords to search. Each runs as a separate Reddit search.), keywordRequireAll (When multiple keywords given, also dedupe & only emit posts whose title/content contains ALL of them. Default: each keyword runs independently (OR).), resultLimit (Max posts per keyword (1-1000).). Use the narrowest Reddit Keywords Pro values that represent the real task, keep the first result set small, and record why each selected input matters to the Reddit Keywords Pro outcome.

Working method: Read a small sample before writing any rule, propose themes from what is actually there, then apply the rule set to the rest and route anything that fits no theme into its own bucket for review.

Deliverable: Create a theme index ranking each pattern by volume, with a representative example and a note on where confidence is weakest. Include the Reddit Keywords Pro source identifier and the collected fields behind every Reddit Keywords Pro decision.

Stop condition: Pause when a theme only holds up because of one prolific poster, sarcasm is misread as literal sentiment, or the sample skews toward one channel. Fix the Reddit Keywords Pro question, comparison rule, or configuration before expanding the Reddit Keywords Pro run.

Use case 3: 🕵️ Gather Competitive Intelligence

Outcome: Find mentions of competitors or products.

Question to answer: Which comparable groups differ in a way that could change a product, positioning, or market decision?

Configure: Start with keywordRequireAll (When multiple keywords given, also dedupe & only emit posts whose title/content contains ALL of them. Default: each keyword runs independently (OR).), keywords (List of keywords to search. Each runs as a separate Reddit search.), dateTo (Drop posts with createdat after this date (inclusive end-of-day). Format: YYYY-MM-DD.). Use the narrowest Reddit Keywords Pro values that represent the real task, keep the first result set small, and record why each selected input matters to the Reddit Keywords Pro outcome.

Working method: Set the comparison rule before seeing the results, group records against that rule rather than after the fact, and treat any record that resists grouping as information, not noise to discard.

Deliverable: Create a ranked comparison brief listing each cohort, its defining fields, and the specific gap that matters for the decision. Include the Reddit Keywords Pro source identifier and the collected fields behind every Reddit Keywords Pro decision.

Stop condition: Pause when the comparison rule shifted mid-analysis, or a single record is skewing an entire cohort's average. Fix the Reddit Keywords Pro question, comparison rule, or configuration before expanding the Reddit Keywords Pro run.

Execution workflow steps

Open Reddit Keywords Pro and inspect documented parameters.
Write down your target decision, audience, and qualification thresholds before modifying settings.
Configure the minimal parameter set required to address your core question.
Execute a small batch and sort every record into accepted, uncertain, or excluded groups.
Validate the sample for duplicate entries and missing mandatory fields.
Adjust a single configuration variable at a time and compare outputs against prior batches.
Save successful configurations along with test fixtures for future validation.
Connect verified outputs to downstream systems only after independent review.

Configure documented inputs

The published input schema contains these controls:

keywords (array) - List of keywords to search. Each runs as a separate Reddit search.
resultLimit (integer) - Max posts per keyword (1-1000). Default: 500.
sort (string) - How to sort the search results. Default: "relevance".
subredditFilter (array) - Only emit posts from these subreddits (without r/ prefix). Empty = all. Default: [].
subredditBlocklist (array) - Drop posts from these subreddits. Default: [].
minScore (integer) - Drop posts with score below this number.
maxAgeDays (integer) - Drop posts older than N days.
excludeNsfw (boolean) - Drop NSFW posts. Default: false.
authorBlocklist (array) - Drop posts by these usernames (case-insensitive). Default: [].
keywordRequireAll (boolean) - When multiple keywords given, also dedupe & only emit posts whose title/content contains ALL of them. Default: each keyword runs independently (OR). Default: false.
dateFrom (string) - Drop posts with created_at before this date (inclusive). Format: YYYY-MM-DD.
dateTo (string) - Drop posts with created_at after this date (inclusive end-of-day). Format: YYYY-MM-DD.

Turn documented output into a deliverable

The Actor documentation lists these per-record fields:

Run a small test and inspect the resulting records to identify the fields available for your chosen input.

Preserve original records, isolate fields utilized in decisions, and maintain separation between editorial tags and raw data.

Design around documented limitations

Maximum result limit per keyword: 1000 posts
Only returns posts (not comments) from search results
Requires stable internet connection
Processing time increases with result limit and number of keywords

Quality controls before usage

Keep sample sizes small enough for manual review.
Document all inclusion and exclusion rules prior to scaling.
Retain raw records to allow error correction without repeating extraction.
Use persistent identifiers for deduplication rather than display text.
Represent missing optional values as null instead of guesses.
Configure alerts for empty results or execution failures.
Verify input schemas whenever the Actor updates.
Isolate editorial scoring from raw collection fields.
Require peer review for top and bottom records.
Exclude unverified assumptions from external communications.

Frequently asked questions

How should I validate the first run?

Examine every returned record in a small sample against your decision criteria before expanding collection volume.

How should missing fields be handled?

Keep raw records intact and record absent optional attributes as null rather than inventing data.

When should I increase the run size?

Scale collection gradually after confirming relevance, field integrity, and deduplication rules in small batches.

What should trigger a workflow review?

Examine your pipeline whenever input parameters, error rates, documentation, or downstream requirements change.

Resources

Reddit Keywords Pro on Apify