Software Advice Reviews Scraper — Export Any Product's Reviews to JSON, CSV & Excel

Scrape every verified review from any Software Advice product page — ratings, pros & cons, reviewer profiles, and sub-scores — in one run. No login, no code, no blocks.

• ✅ All reviews, not just page one — automatic pagination pulls the full history (hundreds per product).
• ✅ Built-in Cloudflare bypass — handles the anti-bot wall for you, so runs just work.
• ✅ Clean, structured data — ratings, written review, pros, cons, sub-ratings, reviewer industry & company size.
• ✅ Export anywhere — JSON, CSV, Excel, or straight into Google Sheets, Make, Zapier, and n8n.
• ✅ Beginner-friendly — paste a URL, click Start. Developers get a full REST API too.

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📌 What This Actor Does

The Software Advice Reviews Scraper is an Apify Actor that extracts customer reviews from any product listing on Software Advice — the popular B2B software review site in the Gartner Digital Markets network (alongside Capterra and GetApp).

Give it a product URL and it returns all of that product's reviews as clean, ready-to-use data: the star rating, the full written review, pros and cons, detailed sub-ratings (ease of use, functionality, value for money, customer support), and reviewer details like industry, company size, and how long they used the product.

Who it's for:

• Product & marketing teams monitoring their own and competitors' reputation.
• Market researchers & analysts studying software categories and buyer sentiment.
• SaaS founders collecting real customer voice for positioning and messaging.
• Data teams & developers who need review data in a pipeline without maintaining a fragile scraper.
• Agencies delivering competitive intelligence and review analysis to clients.

Real-world examples: track how your rating trends over time, pull competitor pros/cons for a battlecard, feed thousands of reviews into an AI model for sentiment analysis, or build a category benchmark report.

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✨ Key Features

• Full-history extraction — paginates automatically to collect every review on a product, not just the first page.
• Rich per-review data — overall rating, title, date, full text, pros, cons, and four sub-ratings.
• Reviewer context — industry, company size, validation status, usage frequency, and how long they used the product.
• Product-level metadata — average rating, total review count, star breakdown, and category, included in every result.
• Automatic anti-bot handling — clears the Cloudflare protection that normally blocks scrapers, with automatic IP rotation on retries.
• Incremental runs — use the target date filter to collect only reviews newer than your last run.
• Any export format — download JSON, CSV, Excel, XML, or RSS, or pull results via the Apify API.

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🧠 Why This Actor Is Different

Most DIY scraping scripts break on Software Advice within minutes — the site is protected by Cloudflare and loads its reviews through a modern JavaScript framework, so a simple HTTP request just returns a "403 Blocked" page.

This Actor is built specifically to solve that:

• Reliable bypass, not luck. It earns a genuine browser clearance and reuses it on the same connection, then rotates to a fresh IP automatically if a request is blocked — so runs finish instead of failing halfway.
• Complete data. It reads the site's own internal data feed rather than scraping rendered HTML, so you get accurate, fully-structured fields — including data that isn't even visible on the page.
• Zero maintenance for you. No proxies to configure, no headless browser to babysit, no selectors to fix when the site changes its design.
• Fast where it counts. After the one-time bypass, pagination uses a lightweight client, so large products are collected quickly.

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⚙️ Input Configuration

Field	Type	Required	Description
startUrls	Array	✅ Yes	One or more Software Advice product URLs. Accepts both the profile page and the reviews page.
maxReviews	Integer	No	Max reviews to collect per product. 0 (default) means no limit — collect everything.
targetDate	String (ISO date)	No	Only keep reviews written on or after this date, e.g. 2025-01-01. Great for incremental runs.
proxyConfiguration	Object	Recommended	Proxy settings. Residential proxies are strongly recommended for reliable runs.

Example input

{
  "startUrls": [
    { "url": "https://www.softwareadvice.com/data-extraction/apify-profile/reviews/" }
  ],
  "maxReviews": 0,
  "targetDate": "2025-01-01",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Tips for best results

• Use residential proxies (RESIDENTIAL group). Datacenter IPs are far more likely to be blocked by Cloudflare.
• Both URL formats work — …/apify-profile/ and …/apify-profile/reviews/ are both accepted and normalized automatically.
• For incremental monitoring, set targetDate to the date of your last run to fetch only new reviews.
• Scrape multiple products at once by adding several URLs to startUrls.

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📤 Output Format

The Actor produces one dataset record per product URL. Each record contains the product's metadata plus a reviews array. Download it as JSON, CSV, Excel, XML, or RSS, or fetch it via the API.

Sample output

{
  "name": "Apify",
  "productUrl": "https://www.softwareadvice.com/data-extraction/apify-profile/reviews/",
  "seoId": "198361",
  "slug": "apify",
  "category": "Data Extraction",
  "logoUrl": "https://gdm-catalog-fmapi-prod.imgix.net/ProductLogo/....png",
  "rating": 4.84,
  "reviewCount": 502,
  "ratingBreakdown": [
    { "value": 5, "count": 431 },
    { "value": 4, "count": 65 },
    { "value": 3, "count": 5 },
    { "value": 2, "count": 0 },
    { "value": 1, "count": 1 }
  ],
  "subRatingAverages": {
    "easeOfUse": 4.66,
    "functionality": 4.75,
    "valueForMoney": 4.60,
    "customerSupport": 4.58,
    "likelihoodToRecommend": 0.94
  },
  "reviews": [
    {
      "id": "Capterra___7157151",
      "source": "Capterra",
      "title": "apify scrapping",
      "date": "2026-05-26T19:02:21Z",
      "rating": 5,
      "reviewBody": "My overall experience with Apify has been extremely positive...",
      "pros": "The time of scraping is very fast and it helps you do what you want in a few minutes without problems.",
      "cons": "The dashboard can become a bit cluttered when managing many actors.",
      "subRatings": {
        "easeOfUse": 5,
        "functionality": 5,
        "valueForMoney": 5,
        "customerSupport": 5
      },
      "timeUsed": "LessThan6Months",
      "frequencyOfUse": "Daily",
      "reasonsForChoosing": null,
      "reasonsForSwitching": null,
      "incentive": "NoIncentive",
      "vendorReply": null,
      "reviewer": {
        "name": "Souhail B.",
        "anonymous": false,
        "industry": "Accounting",
        "companySize": "B",
        "isValidated": true,
        "profilePictureUrl": "https://reviews.capterra.com/cdn/profile-images/..."
      }
    }
  ]
}

Field reference

Product-level fields

Field	Description
name	Product name
productUrl	Canonical reviews URL
category	Software category (e.g. "Data Extraction")
logoUrl	Product logo image URL
rating	Average overall rating (out of 5)
reviewCount	Total number of reviews on the product
ratingBreakdown	Count of reviews per star value (1–5)
subRatingAverages	Average ease of use, functionality, value for money, customer support, and likelihood to recommend

Per-review fields (reviews[])

Field	Description
id	Unique review ID
source	Origin network (e.g. "Capterra")
title	Review headline
date	When the review was written (ISO 8601)
rating	Overall star rating (1–5)
reviewBody	Full written review / overall comments
pros	What the reviewer liked
cons	What the reviewer disliked
subRatings	Ease of use, functionality, value for money, customer support
timeUsed	How long the reviewer used the product
frequencyOfUse	How often they use it (Daily, Weekly, etc.)
reasonsForChoosing	Why they chose this product
reasonsForSwitching	What they switched from
incentive	Whether the review was incentivized
vendorReply	The vendor's response, if any
reviewer	Reviewer profile: name, anonymity, industry, company size, validation status, profile picture

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▶️ How to Use

1. Open the Actor on the Apify Store and click Try for free.
2. Find your product on softwareadvice.com and copy its URL (the product or reviews page).
3. Paste the URL into the startUrls field.
4. (Optional) Set maxReviews or a targetDate, and keep proxies on Residential.
5. Click Start and wait for the run to finish.
6. Download your data from the Storage tab as JSON, CSV, or Excel — or grab it via the API.

Common workflows

• One-off export: paste a URL, run, download CSV. Done.
• Competitor tracking: add several product URLs and schedule the Actor to run weekly.
• Incremental sync: set targetDate to your last run date to pull only new reviews into your database.
• Automation: connect the Actor to Make, Zapier, or n8n to push reviews into Sheets, Slack, or your CRM.

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📈 Use Cases

• Competitive intelligence — pull competitor pros, cons, and ratings to build sales battlecards and positioning docs.
• Reputation monitoring — track your product's rating and new reviews over time, and get alerted to negative feedback.
• Voice-of-customer & AI analysis — feed hundreds of real reviews into an LLM or sentiment model to surface themes, feature requests, and complaints.
• Market research — benchmark an entire software category to understand buyer priorities and satisfaction drivers.
• Content & social proof — collect verified testimonials and rating data for landing pages, case studies, and reports.

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🛠️ Advanced Tips

• Proxies: Residential proxies give the highest success rate against Cloudflare. Datacenter IPs work occasionally but are blocked more often.
• Run timeout: Allow generous time — the anti-bot bypass adds a warm-up per product before fast pagination begins. A timeout of 15 minutes or more is recommended for large products.
• Batching: You can pass many product URLs in one run, but for very large jobs, splitting them across scheduled runs keeps each run short and easy to monitor.
• Scheduling: Use Apify Schedules for hands-off weekly or daily monitoring, paired with targetDate for efficient incremental collection.
• Integrations: Every run's dataset is available via the Apify API, webhooks, and native connectors for Make, Zapier, and n8n.

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❓ FAQ & Troubleshooting

Is scraping Software Advice reviews legal? The Actor collects only publicly available review data. As with any scraping, use the data responsibly, respect the platform's terms, and avoid collecting personal data beyond what's needed. You are responsible for how you use the output.

The run returned few or no reviews — what happened? Almost always a proxy issue. Enable Residential proxies and try again. If a product genuinely has few reviews, that's expected — check reviewCount in the output.

Why do I need proxies? Software Advice uses Cloudflare bot protection. Residential proxies let the Actor earn a legitimate browser clearance and avoid blocks. Without good proxies, requests are far more likely to be rejected.

Can I scrape more than one product at a time? Yes — add multiple URLs to startUrls. Each becomes its own dataset record.

How many reviews can it collect? By default, all of them. Use maxReviews to cap the count per product if you only need a sample.

Some review text has odd characters (like ’). That's a data-quality quirk in Software Advice's own stored reviews (the same text appears that way on their live site). The Actor returns the data faithfully. You can clean it downstream if needed.

Which URL should I use? Either the product page (…/apify-profile/) or the reviews page (…/apify-profile/reviews/). Both are accepted.

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📞 Support

Questions, feature requests, or found a bug? I'd love to hear from you.

• 📧 Email:
• 🐛 Issues: Report problems (with your input and run ID) via the Actor's Issues tab on the Apify Store.

If you report an issue, please include the product URL you used and your run ID — it makes fixing things much faster.

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Related keywords

Software Advice scraper, Software Advice reviews scraper, web scraping, Apify actor, review scraping, B2B software reviews, Capterra reviews, GetApp reviews, competitor analysis, sentiment analysis, lead research, data extraction, export reviews to CSV / JSON / Excel.