SoftwareAdvice Reviews Scraper

Pull software products and their full user reviews from SoftwareAdvice (a Gartner Digital Markets directory) at scale — product name, vendor, category, overall rating, total review count, plus every review with its overall star rating, pros, cons, and reviewer firmographics. Products and reviews come back as separate, ready-to-join rows. Built for competitive-intelligence teams, product marketers, and SaaS founders who need structured voice-of-customer review data without copy-pasting B2B software profiles one page at a time.

Why This Scraper?

• Dual product + review output in one run — every run returns product rows (the software listing) and review rows (each user review), linked by productName and productUrl so you can join them straight into a CRM, BI tool, or warehouse.
• Reviewer firmographics on every review — company size (9 bands from Self-Employed to 10,000+ employees), industry, and time-used, so you can segment voice-of-customer feedback by the kind of buyer who wrote it.
• Pros and cons split into separate fields — pros, cons, and full general comments arrive as distinct columns, ready for sentiment analysis without parsing one blob of free text.
• Per-review star rating plus product-level aggregates — each review carries its own overall star rating, and each product carries its overall rating and total review count from SoftwareAdvice's own aggregate.
• Three ways to target software — paste SoftwareAdvice URLs, enter company website domains (e.g. postman.com, auto-resolved to the matching product page), or run free-text category searches like "CRM" or "project management".
• Domain-to-product auto-resolution — give a company's website domain and the actor finds its SoftwareAdvice product page for you, and reports a clean no-match rather than silently grabbing the wrong software.
• Recency filtering on reviews — set a "from" date (YYYY-MM-DD) to collect only reviews published on or after it, ideal for tracking sentiment since a product launch or release.
• Per-product review caps to control cost — popular B2B software can have thousands of reviews; cap how many you collect per product (most recent first) or turn reviews off entirely for a fast product-only run.
• Pay-per-result split pricing — products and reviews are billed separately, so pulling every review on a heavily-reviewed product never balloons a single fixed price.

Use Cases

Competitive Intelligence

• Track what real users praise and criticize about a competitor's software
• Monitor a rival's overall rating and review volume over time
• Compare pros and cons across a shortlist of competing products

Product Marketing

• Mine pros and cons for messaging, testimonials, and battlecards
• Surface the features customers mention most for positioning
• Quote real reviewer language (by industry and company size) in campaigns

Voice of Customer & Sentiment Analysis

• Run sentiment analysis on full review text, pros, and cons at scale
• Segment feedback by company size and industry to find your best-fit buyer
• Detect emerging complaints or praise themes since a specific date

Lead Generation & Market Research

• Build lists of software products in a category with ratings and review counts
• Size a market by how many products and reviews exist per category
• Identify high-rated, high-volume products worth partnering with or targeting

Analytics & Data Platforms

• Feed a review dataset into a BI dashboard or data warehouse
• Keep an internal software-comparison database current with fresh reviews
• Benchmark your own product's rating against category peers

Getting Started

Simple — one company by domain

Resolve a company's website domain to its SoftwareAdvice product page and pull all its reviews.

{
    "domains": ["postman.com"]
}

Search — products in a category

Run a free-text search and collect the matching products plus their reviews.

{
    "searchQueries": ["CRM"],
    "maxResults": 25,
    "maxReviewsPerProduct": 100
}

Advanced — recent reviews, capped, from URLs

Target exact products by URL and collect only recent reviews, capped per product.

{
    "startUrls": [
        "https://www.softwareadvice.com/crm/salesforce-profile/reviews/",
        "https://www.softwareadvice.com/project-management/asana-profile/reviews/"
    ],
    "maxReviewsPerProduct": 50,
    "reviewsStartDate": "2024-01-01"
}

Product-only — no reviews

Turn reviews off for a fast, cheap run that returns only product and vendor details.

{
    "searchQueries": ["project management"],
    "includeReviews": false,
    "maxResults": 50
}

Input Reference

What to Scrape

Pick any combination of URLs, company domains, or search terms. Leave everything blank to scrape the example products.

Parameter	Type	Default	Description
startUrls	array	[]	SoftwareAdvice URLs — product pages, product review pages, or category/search result pages. The most precise way to target exactly the products you want.
domains	array	["postman.com"]	Company website domains (e.g. postman.com, salesforce.com). Each is matched to its SoftwareAdvice product page automatically — no manual lookup.
searchQueries	array	[]	Free-text product or category searches (e.g. CRM, project management, Slack). Each term returns its matching products.

Reviews

Parameter	Type	Default	Description
includeReviews	boolean	true	Collect each product's user reviews (rating, pros, cons, reviewer details, date). Turn off for faster, cheaper product-only runs.
maxReviewsPerProduct	integer	0	Cap reviews captured per product (most recent first). 0 = all reviews, up to a safety ceiling of 5,000 per product. Ignored when reviews are off.
reviewsStartDate	string	null	Only collect reviews published on or after this date (YYYY-MM-DD). Blank collects all reviews regardless of date.

Limits

Parameter	Type	Default	Description
maxResults	integer	100	Cap on total products collected across all URLs, domains, and search terms. 0 = no cap.

Output

Results come back as two record types in one dataset. Each row carries a recordType field: product rows are the software listings, and review rows are individual user reviews linked back to their product. Use the Products and Reviews dataset views to see each on its own.

Product

{
    "recordType": "product",
    "productName": "Postman",
    "vendor": "Postman, Inc.",
    "category": "API Management Software",
    "overallRating": 4.62,
    "totalReviewCount": 510,
    "ratingDistribution": null,
    "startingPrice": null,
    "website": "https://www.postman.com",
    "description": "Postman is an API platform for building and using APIs...",
    "logoUrl": "https://www.softwareadvice.com/imglib/.../postman-logo.png",
    "sourceDomain": "postman.com",
    "productUrl": "https://www.softwareadvice.com/product/123456-Postman/reviews/",
    "scrapedAt": "2026-06-27T09:31:00Z"
}

Field	Type	Description
recordType	string	Always "product" for these rows
productName	string	Software product display name
vendor	string	Vendor / company name (often null — SoftwareAdvice does not always list a distinct vendor)
category	string	Primary software category
overallRating	number	Overall rating from SoftwareAdvice's aggregate (0–5)
totalReviewCount	integer	Total number of reviews SoftwareAdvice reports for the product
ratingDistribution	object	Star-breakdown when published; usually null
startingPrice	string	Starting price when published; usually null
website	string	The product's official website, when available
description	string	Product description
logoUrl	string	Product logo image URL
sourceDomain	string	The input domain this product resolved from, when entered by domain
productUrl	string	SoftwareAdvice reviews-page URL for the product
scrapedAt	string	ISO-8601 collection timestamp

Review

{
    "recordType": "review",
    "productName": "Postman",
    "productUrl": "https://www.softwareadvice.com/product/123456-Postman/reviews/",
    "reviewId": "rv_98765",
    "title": "Indispensable for our API team",
    "rating": 5,
    "pros": "Collections and environments make testing painless across the whole team.",
    "cons": "The desktop app can get heavy with very large workspaces.",
    "reviewText": "We adopted Postman two years ago and it has become central to how we ship APIs...",
    "reviewerName": "Jane D.",
    "reviewerRole": null,
    "reviewerIndustry": "Information Technology and Services",
    "companySize": "51-200 employees",
    "usedFor": "More than 2 years",
    "date": "2025-11-14",
    "scrapedAt": "2026-06-27T09:31:00Z"
}

Field	Type	Description
recordType	string	Always "review" for these rows
productName	string	Links back to the parent product's productName
productUrl	string	Links back to the parent product's productUrl
reviewId	string	SoftwareAdvice's unique review identifier
title	string	Review headline
rating	number	This review's overall star rating (0–5)
pros	string	What the reviewer liked
cons	string	What the reviewer disliked
reviewText	string	Full general-comments body
reviewerName	string	Reviewer display name
reviewerRole	string	Reviewer job title when published; usually null
reviewerIndustry	string	Reviewer's industry
companySize	string	Reviewer's company size band (e.g. "51-200 employees")
usedFor	string	How long the reviewer has used the product (e.g. "More than 2 years")
date	string	Review publication date (ISO format)
scrapedAt	string	ISO-8601 collection timestamp

Tips for Best Results

• Reviews are returned newest-first. Use reviewsStartDate to grab only recent feedback, and maxReviewsPerProduct to keep cost predictable on heavily-reviewed software.
• Pasting a …/reviews/ URL is the most precise target — it skips search and goes straight to the exact product you want.
• Enter a company's website domain, not its brand name, in domains — postman.com resolves reliably, and an ambiguous domain returns a clean no-match instead of the wrong product.
• Turn off includeReviews for a quick product census — you'll get every product's name, category, rating, and total review count without paying for individual reviews.
• reviewsStartDate filters most efficiently on recent windows. Because reviews are collected newest-first, an older cutoff means more pages are scanned — set a recent date when you only need the latest sentiment.
• Use search terms for category sweeps and startUrls for a known shortlist — combine both in one run to cover a market and your watchlist at once.
• vendor, startingPrice, and ratingDistribution may be null — SoftwareAdvice doesn't publish these on every product, so treat them as optional in your pipeline.

Pricing

From $0.50 per 1,000 reviews (plus $3.00 per 1,000 products) at the Gold tier — a transparent, results-based price for a fully structured software review dataset. You are charged per product plus per review collected, so review-heavy products never blow up a single fixed price.

Price per event by discount tier

Event	No discount	Bronze	Silver	Gold
Product (per 1,000)	$3.55	$3.35	$3.20	$3.00
Review (per 1,000)	$0.59	$0.55	$0.53	$0.50

Example run cost (Gold tier)

Scenario	Products	Reviews	Approx. total
Quick watchlist	10 × 100 reviews	1,000	≈ $0.53
Category sweep	100 × 80 reviews	8,000	≈ $4.30
Large dataset	1,000 × 50 reviews	50,000	≈ $28.00

Totals cover products plus reviews; a small fixed per-run start fee (about $0.005) applies on top.

No compute or time-based charges — you pay per result, plus a small fixed per-run start fee. Charged per software product plus per review collected. Bronze, Silver, and Gold loyalty discounts apply automatically on the Apify platform, so larger and longer-term usage costs progressively less.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor collects publicly available information from SoftwareAdvice. Use it responsibly and in compliance with SoftwareAdvice's terms of service and all applicable laws, including data-protection regulations such as the GDPR and CCPA. Personal data contained in reviews and reviewer profiles must be handled lawfully — obtain a valid legal basis before processing, and respect the rights of the individuals concerned. You are responsible for how you use the collected data; do not use it for spam, harassment, or any unlawful purpose.