HubSpot Marketplace Review Intelligence Report

Turn public HubSpot App Marketplace reviews into structured SaaS competitor intelligence, product feedback, sentiment, topic, and voice-of-customer dataset rows. This Actor accepts HubSpot app names, search terms, or direct marketplace listing URLs, extracts visible public listing and review data, and returns app summary rows plus per-review signals in an Apify Dataset.

Use it for HubSpot Marketplace review analysis, competitor research, SaaS app positioning, product feedback mining, support issue discovery, pricing objection research, and B2B SaaS voice-of-customer analysis.

What this Actor does

• Finds public HubSpot App Marketplace listings from app names or listing URLs.
• Extracts visible public listing metadata such as app name, rating, review count, installs, categories, and listing URL where available.
• Extracts visible public review details such as rating, date, reviewer, review text, pros/cons, and developer replies where available.
• Classifies reviews into sentiment, topic, business signal, priority, summary, and competitor opportunity.
• Outputs one current-run report in the default Apify Dataset.

The Actor is stateless. It does not monitor listings, does not detect new reviews since a previous run, does not store review history, and does not use named long-term storage.

How to analyze HubSpot Marketplace reviews

1. Open the Actor in Apify Console.
2. Enter an exact HubSpot app name or a direct public Marketplace listing URL.
3. Add more apps only when you want a comparison report.
4. Click Start, then open the Report, App summaries, or Review signals dataset view.

Input

The input is intentionally simple.

{
  "appInputs": ["CloudTalk"]
}

Input fields

Field	Description
appInputs	HubSpot app names, search terms, or direct public HubSpot Marketplace listing URLs.

The Actor defaults to analyzing up to 50 visible public reviews per app and returns app summaries plus per-review signals. Raw review text is excluded by default.

Best results come from exact app names or direct listing URLs. Broad search terms are supported, but they may return fewer or less precise matches because the Actor uses public HubSpot Marketplace pages, not a private HubSpot search API.

Examples for appInputs:

[
  "CloudTalk",
  "Zapier",
  "calling software",
  "https://ecosystem.hubspot.com/marketplace/apps/cloudtalk"
]

Output

Results are saved to the default Apify Dataset. The Dataset includes focused views for:

• Report: the best all-purpose table for quick review.
• App summaries: one row per app with the executive summary and top signals.
• Review signals: one row per analyzed review with sentiment, topic, priority, and competitor opportunity.
• Raw reviews: available only for API users who explicitly request raw review output.
• Errors: invalid or unresolved inputs.

App summary example

{
  "itemType": "app_summary",
  "appName": "CloudTalk",
  "listingUrl": "https://ecosystem.hubspot.com/marketplace/apps/cloudtalk",
  "ratingAverage": 4.36,
  "reviewCount": 106,
  "categories": ["CALLING"],
  "reviewsAnalyzed": 50,
  "topComplaints": [],
  "topPraise": [
    {
      "topic": "VOIP system",
      "count": 8,
      "priority": "medium",
      "summary": "Customers praise setup, support, and calling workflows."
    }
  ],
  "competitorOpportunities": [
    "Competitors can differentiate with easier setup and stronger customer support."
  ],
  "executiveSummary": "CloudTalk has positive review sentiment across 50 visible reviews, with praise as the most frequent business signal."
}

Review signal example

{
  "itemType": "review_signal",
  "appName": "CloudTalk",
  "listingUrl": "https://ecosystem.hubspot.com/marketplace/apps/cloudtalk",
  "rating": 5,
  "reviewDate": "Apr 1, 2026",
  "sentiment": "positive",
  "topic": "VOIP system",
  "businessSignal": "praise",
  "priority": "low",
  "summary": "CloudTalk is praised for easy setup and responsive support.",
  "competitorOpportunity": "Competitors can learn the importance of user-friendly integration and strong customer support.",
  "hasDeveloperReply": false
}

Output detail

The standard output includes one app summary row per listing plus per-review intelligence rows. Raw review text is excluded by default to keep the Dataset clean and privacy-conscious.

Advanced API users can still request raw public review fields with outputMode: "raw_reviews", but this is intentionally not exposed in the standard Apify input form.

OpenRouter review analysis

If OPENROUTER_API_KEY is configured as an Actor secret or environment variable, the Actor uses OpenRouter to classify each deduplicated review. You can optionally set OPENROUTER_MODEL; otherwise the default model is used.

If OpenRouter is not configured, the Actor still runs and uses a local fallback heuristic based on review rating and keywords.

Only review fields needed for classification are sent for analysis. The Actor does not send unrelated listing metadata or maintain an analysis cache between runs.

Common use cases

• Analyze HubSpot Marketplace reviews for a competitor app.
• Find recurring complaints in SaaS app reviews.
• Identify support, onboarding, pricing, usability, and integration issues.
• Discover competitor positioning opportunities.
• Build a current voice-of-customer report for HubSpot ecosystem apps.
• Compare review sentiment across multiple HubSpot Marketplace listings.

Public example tasks

Try these ready-to-run examples:

Task	Input	Best for
Analyze CloudTalk reviews	{ "appInputs": ["CloudTalk"] }	Single-app voice-of-customer analysis
Compare HubSpot calling apps	{ "appInputs": ["CloudTalk", "Aircall", "JustCall"] }	Competitor review comparison
Research integration complaints	{ "appInputs": ["Zapier", "PandaDoc", "Typeform"] }	Product and integration feedback mining

API usage

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")

run_input = {
    "appInputs": ["CloudTalk"],
}

run = client.actor("thescrapelab/hubspot-marketplace-review-intelligence-report").call(run_input=run_input)

dataset = client.dataset(run["defaultDatasetId"])
for item in dataset.iterate_items():
    print(item)

You can schedule fresh reports in Apify or connect the dataset to webhooks and integrations. Each run is an independent snapshot; the Actor does not perform cross-run change detection.

Compliance and privacy

This Actor scrapes only public HubSpot App Marketplace pages supplied or resolved from the user's current input. It does not log in, does not use OAuth, does not use HubSpot private APIs, does not bypass CAPTCHAs, does not bypass access controls, and is not an official HubSpot integration.

The Actor may use the default Apify Dataset to return the current run's report. It does not create named long-term storage, does not store review history, and does not compare against previous runs.

Limitations

• The current version supports HubSpot App Marketplace listings only.
• It extracts visible public listing and review data available during the run.
• It does not guarantee complete historical review extraction if older reviews are hidden behind dynamic loading.
• It does not use HubSpot private APIs.
• It does not log in to HubSpot.
• It does not store cross-run review history.
• It does not detect new reviews since the previous run.
• Other marketplaces are not supported by the current version.

Pricing and cost notes

• Small examples with one app are the cheapest way to verify output quality.
• Multi-app comparison runs increase runtime because each app listing and visible review set must be fetched and analyzed.
• Direct listing URLs are usually more efficient than broad search terms because they skip marketplace search resolution.
• Raw review output is intended for API users who explicitly need it; the standard report keeps the dataset cleaner and smaller.

Troubleshooting

• If an app name returns no result, use the exact HubSpot Marketplace app name or paste the direct listing URL.
• If a broad search term resolves the wrong app, replace it with a direct listing URL.
• If review rows are fewer than expected, the public listing may expose only a limited set of visible reviews during the run.
• If AI review analysis is unavailable, the Actor still returns heuristic sentiment and topic signals.
• If a listing is temporarily blocked or unavailable, rerun later or narrow the input to fewer apps.