MARKET RESEARCH

On-demand competitor review topic-shift report via webhook

Accepts a webhook request naming a competitor app and version range, scrapes those reviews, classifies and loads them into BigQuery, runs the topic-shift comparison.

CategoryMarket Research
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook with app id + two versionsHTTP webhook
  • ActionScrape reviews for both versionsApify
  • ActionClassify reviews into topics + sentimentOpenAI
  • ActionLoad to BigQuery and compute version deltaGoogle BigQueryBigQuery
  • LogicRank shifts and assemble report payload
  • OutputWrite report to Drive and return share linkGoogle DriveGoogle Drive

What it does

Gives analysts an ad-hoc way to run the topic-shift analysis for any competitor app and any pair of versions on demand, without waiting for the scheduled jobs. A request specifies the app and the two versions to compare; the flow fetches the reviews, classifies them, lands them in BigQuery, computes the shift, and writes the result back so the requester gets an answer in one round trip.

When to use it

Use it for one-off competitive questions — a stakeholder asks 'what changed in their reviews between 4.2 and 4.3?' and you want an evidence-backed answer fast, reusing the same pipeline the scheduled jobs run on.

How it works

  1. 1A webhook receives the app id and the two versions to compare.
  2. 2Apify scrapes reviews for both target versions of the app.
  3. 3OpenAI classifies the reviews into the topic taxonomy with sentiment.
  4. 4Rows are loaded into BigQuery and the version-to-version topic delta is computed.
  5. 5A logic step ranks the shifts and assembles a concise report payload.
  6. 6The report is written to a Google Drive doc and the share link is returned in the webhook response.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ApifyActors, scrapers, datasets.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect BigQueryDatasets, queries, schemas.
  5. 5
    Connect Google DriveDocs, sheets, slides, files.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    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.