MARKET RESEARCH

Forum and community review mining into a BigQuery theme warehouse

On a nightly schedule, crawls Reddit and product-forum threads, embeds and clusters the posts with a HuggingFace model.

CategoryMarket Research
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNightly schedule starts the crawl
  • ActionCrawl forum and subreddit postsFirecrawl
  • ActionEmbed and assign posts to themesHugging FaceHugging Face
  • LogicLabel theme, sentiment, and permalink
  • ActionStream labeled rows into BigQueryGoogle BigQueryBigQuery
  • OutputSend new/growing-theme summary to SlackSlack

What it does

Turns messy community discussion into a structured, queryable dataset. Each night it gathers forum and subreddit posts about your product, clusters them into themes, and lands one row per post in BigQuery tagged with its theme, sentiment, and source so you can chart demand trends and slice by release.

When to use it

Use it when a one-off digest isn't enough and you need a durable history of what the community discusses — to correlate theme volume against launches, or feed a dashboard the whole org trusts.

How it works

  1. 1A nightly schedule starts the crawl.
  2. 2Firecrawl pulls posts and comments from the configured forum URLs and subreddits.
  3. 3A HuggingFace model embeds each post, assigns it to the nearest existing theme, or opens a new one when nothing fits.
  4. 4Logic labels each post with theme, coarse sentiment, and a permalink for traceability.
  5. 5Rows are streamed into a BigQuery table partitioned by date for trend analysis.
  6. 6A short run summary of new and fastest-growing themes is sent to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FirecrawlCrawl, scrape, structured extract.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  3. 3
    Connect BigQueryDatasets, queries, schemas.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.