Research top Reddit posts for developer keywords

Overview

Keyword searches produce noise unless topic and time window are clear. This Clawbrowser demo searches 10 developer-focused keywords, filters unrelated Reddit posts, and exports a structured dataset.

What happens in the video

The agent searches ten developer topics using Reddit's top and past-year filters. Noisy results lead it to tighten product matching, change queries, and rerun collection. Its final message reports 100 rows across ten keywords, followed by a spreadsheet preview. Query refinement and relevance checks are part of the demonstrated workflow.

Before you start

• Developer keywords and a time window.
• Post and engagement fields for the output.

Step-by-step guide

Practical steps for adapting the recorded task. The video summary above describes the demonstrated result; these checks guide your own run.

1. 1

   Define coverage

   Search the developer keywords within the selected time window. The recording uses 10 keywords and posts from the past year.

2. 2

   Filter and collect

   Read the context to exclude unrelated uses of the keywords. Record post details, engagement, and source links with collection context.

3. 3

   Validate keyword groups and export

   The agent refines queries after noisy matches and reports 100 rows across ten keyword groups. Before using a new dataset, check relevance and duplicate URLs across groups while retaining all matching keywords. Scores and comment counts describe the collection time.

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Results

• A structured dataset of relevant posts and engagement.
• Keyword-linked evidence for community research.

Questions about this workflow