🚀 Salesforce AppExchange Discovery Engine

Discover Apps, Extract Reviews, and Build Marketplace Intelligence — Automatically

The Salesforce AppExchange Discovery Engine is a professional Apify Actor that collects Salesforce AppExchange applications and their publicly available reviews in a clean, structured format.

It is designed for users who need reliable, repeatable access to AppExchange marketplace data for analysis, research, and business intelligence.

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TL;DR

• Discover Salesforce AppExchange apps by category
• Extract public user reviews at scale
• Export ready-to-use datasets (CSV / XLSX / JSON)
• Ideal for competitive analysis, market research, and BI pipelines

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🎯 Who this Actor is for

• Salesforce consultants & implementation partners
• ISVs and product managers
• Market & competitive intelligence teams
• CRM researchers and analysts
• BI and data analytics teams

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⭐ What this Actor does

This Actor supports three execution modes, allowing flexible data collection depending on your goals.

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🔍 1. Apps Discovery (mode = apps)

Collect application listings from Salesforce AppExchange category and listing pages.

Extracted app metadata includes:

• App name and vendor
• Short description
• Categories and business needs
• Salesforce clouds supported (Sales, Service, Marketing, etc.)
• Rating and total review count
• Pricing text (Free / Paid / Contact vendor)
• Free-trial availability
• AppExchange listing ID
• Canonical AppExchange URL

Supports:

• Category-based discovery (Finance, HR, ERP, Marketing, Analytics, etc.)
• Pagination across listing pages
• Partial runs using index slicing

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📝 2. Reviews Extraction (mode = reviews)

Extract publicly visible user reviews for AppExchange applications.

Review fields include:

• Review rating
• Review text
• Author (as displayed publicly)
• Review date
• Helpfulness metrics (if available)

Supports:

• Configurable review limits per app
• Duplicate detection
• Pagination and scrolling logic

Reviews are extracted using Salesforce’s public review API, ensuring speed and stability.

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🔀 3. Combined Workflow (mode = apps+reviews)

Run apps discovery first, then automatically extract reviews for each discovered app.

Best for:

• Full marketplace snapshots
• End-to-end competitive analysis
• Longitudinal market studies

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🧪 Input examples

Example 1 — Full discovery + reviews (recommended)

{
  "mode": "apps+reviews",
  "start_url": "https://appexchange.salesforce.com/explore/business-needs?category=finance",
  "maxPages": 1,
  "maxReviewsPerApp": 20,
  "headless": true
}
What this produces:

List of finance-related AppExchange apps

Up to 20 public reviews per app

Separate datasets for apps and reviews

Example 2 — Apps discovery only
json
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{
  "mode": "apps",
  "start_url": "https://appexchange.salesforce.com/explore/business-needs?category=marketing",
  "maxPages": 5
}
What this produces:

Structured dataset of marketing-related AppExchange apps

No review extraction

Example 3 — Reviews only (for known apps)
json
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{
  "mode": "reviews",
  "maxReviewsPerApp": 50
}
What this produces:

Reviews for apps discovered previously or available via listing IDs

📤 Output formats
All results are delivered via Apify datasets and can be exported as:

CSV

XLSX

JSON

Automatically generated files
APPS.csv / APPS.xlsx

REVIEWS.csv / REVIEWS.xlsx

Per-app review files: REVIEWS_APPS/<listing_id>.csv

Suitable for:

Power BI

Tableau

CRM ingestion

Internal analytics pipelines

📊 Output samples
Apps dataset (sample row)
json
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{
  "listing_id": "a0N3A00000FZZxZUAX",
  "name": "Example Finance App",
  "vendor": "Example Vendor Inc.",
  "short_description": "Financial automation for Salesforce.",
  "primary_category": "Finance",
  "rating": 4.6,
  "reviews_count": 312,
  "pricing_text": "Paid",
  "has_free_trial": true,
  "clouds": ["Sales Cloud", "Service Cloud"],
  "url": "https://appexchange.salesforce.com/appxListingDetail?listingId=a0N3A00000FZZxZUAX"
}
Reviews dataset (sample row)
json
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{
  "listing_id": "a0N3A00000FZZxZUAX",
  "rating": 5,
  "review_text": "Excellent integration and very responsive support.",
  "author": "Verified Salesforce User",
  "review_date": "2024-08-12"
}
⚙️ Technical highlights
Playwright-based browser automation

Salesforce public review API usage

Intelligent pagination and scrolling

Safe retry and non-crashing logic

Proxy support for large-scale runs

Cloud-ready for long executions

⚠️ Limitations
Collects publicly available data only

Dependent on Salesforce AppExchange UI/API stability

Large review volumes may require proxies

UI changes may require maintenance updates

🔐 Legal & compliance
No authentication required

No private or gated data accessed

No personal data collected beyond what is publicly displayed

Users are responsible for complying with Salesforce’s terms of service

💰 Pricing model
This Actor uses Pay-Per-Event (PPE) pricing.

1 event = 1 dataset item written (app or review).

yaml
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## ✅ What this improves (important)

- Much clearer **value proposition**
- Strong alignment with **users’ real goals**
- Easy to understand **inputs → outputs**
- Reviewer-friendly (clear, structured, compliant)
- Fits perfectly into your **marketplace intelligence portfolio**

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### If you want next, I can:
- Shorten this further for **maximum conversion**
- Align pricing wording exactly with your PPE events
- Prepare **default input for auto-tests**
- Cross-align wording with your **Shopify & SaaS Directory Actors**

Just tell me.