Research Reddit developer topics with NextBrowser
Use a NextBrowser research session to collect relevant Reddit discussions, refine ambiguous keywords and export a source-linked topic dataset.
About this reference video
The video shows the source task and its recorded outcome. The guide below explains how to run that task through NextBrowser: choose a profile and browser toolset, start a session, then supervise your local agent in Chat and Live View. Interface labels and results can differ from the recording.
Go to the NextBrowser workflow ↓Overview
Developer keywords often match unrelated products or noisy discussions. NextBrowser gives you a browser session for checking Reddit filters and a local agent for collecting the relevant posts. Refine ambiguous queries early, then preserve the search settings and source URLs with the 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
- NextBrowser on macOS or Windows, signed in through browser pairing
- An installed and authenticated local agent: Claude Code or Codex from the ChatGPT desktop app
- A keyword list, relevance rules, time window and per-keyword result target
Run this in NextBrowser
Follow these steps in your own NextBrowser workspace. The video summary records the source demonstration; your result needs the checks below.
Prepare the NextBrowser session
Start the intended Reddit research profile and check search access in Live View. Set the requested sort and time window on the page rather than assuming a query string applied them.
Give the local agent a scoped task
Select your local agent in NextBrowser. Confirm the active profile and tab for Reddit search for the chosen developer keywords. Submit the prompt below in Chat after replacing its placeholders. The selected profile name is guidance for the agent; check the actual session in the sidebar and Live View.
Collect the task evidence
Ask the agent to collect title, subreddit, post URL, date, score, comment count and matched keyword. Inspect ambiguous product names early and refine queries before collecting the whole sample.
Review the result against the browser
Review a sample from every keyword and remove irrelevant matches. Keep one canonical post record with all matched keywords when posts overlap, and report shortfalls instead of padding to the requested count.
Send this prompt in NextBrowser Chat
Use the intended NextBrowser profile [profile name]. First confirm the running session, active tab and target site; stop if they do not match. Find top Reddit posts from the past year for [developer keywords]. Filter unrelated matches and record title, subreddit, URL, date, engagement, and matching keywords. Export a deduplicated dataset. Report source URLs, the actual amount collected and any incomplete checks. Keep this run to research; do not purchase, publish or change account settings.
Replace the placeholders, then send this in NextBrowser Chat with the intended profile and agent selected. This is a suggested task, not the recording transcript.
What to verify in your run
- A dated discussion dataset with query, sort and time-window provenance
- Coverage per keyword and a record of refinements, duplicates and collection limits
Questions about this workflow
Why keep all matching keywords?
A post can address multiple topics. Preserve those associations after deduplication to retain coverage information.
Does this publish comments?
No. This is research and export. The separate Reddit replies guide covers confirmed posting.
Keep exploring
NextBrowser documentation
NextBrowser documentation ↗Product guide: profiles, agents and sessions ↗From the blog
Explore tools and methods for Reddit trend research.
Related use cases
Social Media Monitoring ↗NextBrowser workflow adapted . Recording reviewed . Video source: published video and description.


