SoftwareAdvice Reviews Scraper

SoftwareAdvice holds thousands of buyer reviews, but reading them one page at a time is slow, and there is no download button when you want the data in a spreadsheet. This scraper does the copying for you. Paste a product link and it returns every review as its own row: the reviewer, their star scores, what they liked, what they did not, and the date they wrote it. Point it at one product or a whole list of competitors and pull the lot into JSON, CSV, or Excel.

What you get

Each review becomes one tidy row, and the shape stays the same from product to product. Fields that a reviewer left blank come back as null rather than disappearing, so your columns line up cleanly in a sheet or database. Three groups of data per row:

• Product context — softwareName, softwareUrl, softwareCategory, productScore, reviewsTotal
• The review — reviewKey, reviewTitle, publishedDate, likedMost, dislikedMost, reviewText, upvotes, verifiedUser
• Scores and reviewer — scoreOverall, scoreEaseOfUse, scoreSupport, scoreFeatures, scoreValue, authorName, authorRole, authorCompany, authorIndustry, usageDuration, usageFrequency

Quick start

1. Click Try for free and open the input form.
2. Paste a SoftwareAdvice product link into Product page URL, or drop several into the batch field below it. The profile page and the /reviews/ tab both work.
3. Set a Review cap so the run stops where you want, and a Lowest star score if you only care about higher ratings.
4. Press Start, then download the rows as JSON, CSV, Excel, or XML once it finishes.

Use cases

• Competitive research — line up your product's reviews against rivals in the same category and see where buyers say each one wins or loses
• Voice-of-customer analysis — feed the pros and cons text into sentiment or theme tagging to learn what users actually praise and complain about
• Product roadmap input — pull recurring gripes from the cons field to prioritise fixes and features
• Marketing and sales copy — surface real quotes and high scores to back up landing pages and battlecards
• Market sizing — track review counts and average scores across a category to gauge momentum
• Academic and analyst research — build a structured dataset of software sentiment over time

Input

Field	Type	Required	Description
reviewPageUrl	string	One of reviewPageUrl or reviewPageUrls	A single SoftwareAdvice product link, either the profile page or its /reviews/ tab.
reviewPageUrls	array of strings	One of reviewPageUrl or reviewPageUrls	Several product links to run in one batch. Duplicates are dropped before the run starts.
reviewLimit	integer	No	Ceiling on total reviews collected across the whole run; about 10 come back per page request. Default 25.
minStars	integer	No	Drop reviews scoring below this many stars, from 1 (keep all) to 5 (top only). Default 1.
timeoutSeconds	integer	No	Seconds to wait on each page request before giving up. Default 45.

Example input

{
    "reviewPageUrl": "https://www.softwareadvice.com/project-management/asana-profile/",
    "reviewPageUrls": [
        "https://www.softwareadvice.com/crm/hubspot-crm-profile/",
        "https://www.softwareadvice.com/product/2764-Salesforce/"
    ],
    "reviewLimit": 25,
    "minStars": 1,
    "timeoutSeconds": 45
}

Output

Every review the scraper keeps becomes one row, and each field is always present — values a reviewer left out come back as null so your dataset stays rectangular. If a URL cannot be processed, the row carries an errorMessage instead.

Example output

{
    "softwareName": "Asana",
    "softwareUrl": "https://www.softwareadvice.com/project-management/asana-profile/",
    "softwareCategory": "Project Management",
    "productScore": 4.5,
    "reviewsTotal": 13284,
    "reviewKey": "rv_8841273",
    "reviewTitle": "Keeps our whole team on the same page",
    "authorName": "Marcus T.",
    "authorRole": "Operations Manager",
    "authorCompany": "51-200 employees",
    "authorIndustry": "Marketing and Advertising",
    "publishedDate": "2026-04-18",
    "scoreOverall": 5.0,
    "scoreEaseOfUse": 4.0,
    "scoreSupport": 4.0,
    "scoreFeatures": 5.0,
    "scoreValue": 4.0,
    "likedMost": "Task dependencies and timeline view make planning sprints painless.",
    "dislikedMost": "The mobile app feels cramped once a project gets large.",
    "reviewText": "We moved from spreadsheets to Asana last year and never looked back. Setup took an afternoon and the team adopted it fast.",
    "verifiedUser": true,
    "upvotes": 12,
    "usageDuration": "MoreThan2Years",
    "usageFrequency": "Daily",
    "errorMessage": null,
    "collectedAt": "2026-06-30T12:00:00.000000+00:00"
}

Output fields

Field	Type	Description
softwareName	string	Title of the software product the review belongs to
softwareUrl	string	Link to the product profile page on SoftwareAdvice
softwareCategory	string	Market segment the tool sits in, such as CRM or Project Management
productScore	number	Blended star score across all reviews, from 0 to 5
reviewsTotal	integer	How many reviews the product has on SoftwareAdvice in total
reviewKey	string	Identifier that uniquely tags this single review
reviewTitle	string	Short headline the reviewer gave their write-up
authorName	string	Display name of the reviewer, or Anonymous when withheld
authorRole	string	Job title or position held by the reviewer
authorCompany	string	Employer name or company-size band reported by the reviewer
authorIndustry	string	Business sector the reviewer works in
publishedDate	string	Day the review went live (YYYY-MM-DD)
scoreOverall	number	Headline star score the reviewer assigned, from 0 to 5
scoreEaseOfUse	number	Sub-score for how easy the tool was to use
scoreSupport	number	Sub-score for the vendor's customer support
scoreFeatures	number	Sub-score for the depth of features
scoreValue	number	Sub-score for value relative to price
likedMost	string	The pros the reviewer called out, in their own words
dislikedMost	string	The cons the reviewer flagged, in their own words
reviewText	string	Full body of the written review
verifiedUser	boolean	True when the reviewer was confirmed as verified
upvotes	integer	Count of readers who marked this review helpful
usageDuration	string	How long the reviewer has used the software
usageFrequency	string	How often the reviewer uses the software
errorMessage	string	Why a URL failed; null on success
collectedAt	string	ISO 8601 timestamp of when the row was captured

Tips for best results

• Try one product first. Run a single URL before queuing a big batch, so you can confirm the fields match your pipeline before spending on the full job.
• Use the cap to control spend. Each page request returns about 10 reviews, so set reviewLimit to match what you actually need rather than pulling everything.
• Filter at the source. If you only want strong reviews, raise minStars to 4 or 5 instead of pulling every review and trimming later.
• Raise the timeout on slow runs. If you see frequent timeout errors, push timeoutSeconds toward 90.
• Watch the errorMessage field. A populated value means that URL did not resolve — usually a bad link or a product with no reviews yet — so the rest of your rows stay clean.

How can I use SoftwareAdvice review data?

How can I use the SoftwareAdvice Reviews Scraper to compare competing software? Queue the product links for every tool in a category into reviewPageUrls and run them together. You get one row per review with the product name, category, average score, and the individual sub-scores for ease of use, support, features, and value. Group by softwareName to see which competitor buyers rate highest and on which axis.

How can I pull SoftwareAdvice pros and cons for voice-of-customer analysis? Every row carries likedMost and dislikedMost straight from the reviewer, plus the full reviewText. Export to CSV and run them through your own sentiment or theme tagging to find the praise and complaints that come up again and again — useful for product, support, and marketing teams alike.

How can I export SoftwareAdvice reviews to a spreadsheet? Paste a product URL, set a reviewLimit, and start the run. When it finishes, download the dataset as CSV or Excel and open it in any sheet tool. Each review is its own row with consistent columns, so there is no copy-pasting from the website and no manual cleanup.

How can I track software ratings over time? Run the same product links on a schedule and keep the collectedAt timestamp with each batch. Comparing productScore and reviewsTotal across runs shows whether a tool is gaining momentum or sentiment is slipping.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.