Capterra Scraper - Software Reviews & Listings Data API

Scrape Capterra software listings and user reviews with no API key. This Capterra scraper turns any category, category URL or product URL into clean, structured software reviews data: product names, ratings and sub-ratings, review counts, starting price and pricing model, free trial and free version flags, deployment and support options, key features, and full user reviews with pros, cons, reviewer role, industry and company size. Built for B2B software market research, competitor and pricing intelligence, and lead generation. Export to JSON, CSV or Excel.

Here is one real result, with every field the actor returns (the faq, keyFeatures and reviews lists are trimmed with an ellipsis, every value real):

{
  "logo": "https://gdm-catalog-fmapi-prod.imgix.net/ProductLogo/4e99765c-75ea-4a05-98ff-4d9a7288e686.png?auto=format%2Ccompress&fit=max&w=128&q=75",
  "name": "Celoxis",
  "url": "https://www.capterra.com/p/5923/Celoxis/",
  "productId": "5923",
  "category": "Project Management Software",
  "rating": 4.5,
  "reviewCount": 545,
  "description": "Celoxis is an all-in-one project management tool with built-in features, customizable reports and fast setup. Zero stress, just results",
  "reviewsUrl": "https://www.capterra.com/p/5923/Celoxis/reviews/",
  "startingPrice": "$10",
  "priceModel": "Per User, Per Month",
  "freeTrial": true,
  "freeVersion": false,
  "deployment": ["Cloud, SaaS, Web-Based", "Desktop Mac", "Desktop Windows", "On-Premise Windows"],
  "training": ["In Person", "Live Online", "Documentation", "Videos"],
  "support": ["Email/Help Desk", "FAQs/Forum", "Knowledge Base", "Chat"],
  "targetCompanySizes": ["11-50", "51-200", "201-500", "501-1000", "1000+"],
  "keyFeatures": ["Task Management", "Project Planning/Scheduling", "Multiple Projects"],
  "keyFeaturesSummary": "Celoxis includes core project and resource management features such as task tracking, Gantt charts, dashboards, and reporting, plus budgeting, time tracking, portfolio planning and role-based access.",
  "faq": [
    {
      "question": "What problems does Celoxis solve?",
      "answer": "Celoxis centralizes planning, time tracking, dashboards, and workflow approvals so teams can track dependencies, balance workloads and keep delivery on schedule ..."
    }
  ],
  "reviews": [
    {
      "reviewerName": "Sikha S.",
      "reviewerRole": "AI and ML Engineering Manager",
      "reviewerIndustry": "Information Technology and Services",
      "companySize": null,
      "timeUsed": "6-12 months",
      "overallRating": 5,
      "ratings": {"easeOfUse": 5, "customerService": 5, "features": 5, "valueForMoney": 5},
      "likelihoodToRecommend": 9,
      "title": "A Powerful Platform for Scalable Project Management",
      "text": "Celoxis has helped us solve several critical project management challenges, particularly around visibility, resource allocation, and execution consistency ...",
      "verified": true,
      "reviewSource": "Vendor Referred - Incentive Offered",
      "incentivized": true,
      "vendorResponse": null
    }
  ],
  "aiSummary": null,
  "aiTopics": null,
  "aiCategory": null,
  "aiReviewPros": null,
  "aiReviewCons": null,
  "aiReviewDigest": null,
  "observedAt": "2026-08-09T23:18:07.124Z",
  "error": null
}

The most complete Capterra software scraper available. It returns every field a Capterra listing and product page expose, including starting price, pricing model, free trial and free version flags, key features, a structured product FAQ and detailed user reviews with sub-ratings, plus optional AI add-ons, and gives you rating and review-count filters to target exactly the products you need.

📥 Input · 📤 Output · 💰 Pricing · ▶️ Examples

Table of contents

• What it does
• How it compares
• Quickstart
• Input reference
• Output reference
• Example output record
• Run via API and CLI
• Fetch results
• Billing and limits
• FAQ and troubleshooting

What it does

The actor collects Capterra software listings for the categories, category URLs or product URLs you provide, and writes one normalized record per software product to the run's dataset. Each listing carries the product name, logo, star rating, review count, description and category. With withDetails on, the actor opens each product page to add the starting price, pricing model, free trial and free version flags, deployment options, training and support options, target company sizes, key features, a features summary and a structured product FAQ. With withReviews on, it adds user reviews with reviewer role, industry and company size, overall and sub-ratings, likelihood to recommend, pros, cons, review source and incentive flag, verified badge, vendor response and review text. Missing source values are returned as null.

Capterra serves its pages behind a managed browser challenge, so this actor renders each page through a hosted solver before parsing. That makes it a browser-tier actor. Optional AI add-ons (withSummary, withTopics, withReviewDigest) add a product summary, topic tags and a pros/cons review digest. They are paid add-ons, charged only when they return usable output.

How it compares

Most Capterra and G2 scrapers return either products or reviews. This actor returns both in one run, adds product spec fields other tools drop (deployment, training, support, target company sizes), and layers optional AI enrichment on top.

Capability	This actor	Typical Capterra / G2 scraper
Scrape by category slug or category URL	Yes	Some (many take only product URLs)
Scrape by direct product URL	Yes	Yes
Product details: starting price + pricing model	Yes	Some
Free trial / free version flags	Yes	Rare
Deployment, training, support options	Yes	Rare
Target company sizes	Yes	Rare
Key features + structured product FAQ	Yes	Rare
Reviews: pros, cons, title, full text	Yes	Yes
Review sub-ratings (ease, features, value, support)	Yes	Some
Likelihood to recommend / NPS	Yes	Some
Reviewer role, industry, company size	Yes	Some
Verified badge + review source + incentive flag	Yes	Rare
Vendor response to review	Yes	Some
Filter by minimum rating / review count	Yes	Some
Filter reviews by rating and date	Yes	Some
AI product summary, topic tags, review pros/cons digest	Yes (opt-in)	No
No API key, no login	Yes	Varies
JSON, CSV, Excel export	Yes	Yes

Quickstart

Open the actor, paste this into the input, and press Run. It returns three project-management products with details and up to five reviews each.

{
  "categorySlugs": ["project-management"],
  "withDetails": true,
  "withReviews": true,
  "maxReviews": 5,
  "maxResults": 3
}

Provide at least one of categorySlugs, categoryUrls or productUrls. Turn withReviews off for a faster run that keeps listing and product details only.

Input reference

Field	Type	Required	Default	Description
categorySlugs	string[]	conditional	["project-management"]	Capterra category slugs, for example project-management, accounting, email-marketing. Common short names (crm, hr, pos, erp, ats, bi, lms) resolve automatically. Required unless categoryUrls or productUrls is set.
categoryUrls	string[]	conditional	(empty)	Full Capterra category URLs, for example https://www.capterra.com/project-management-software/.
productUrls	string[]	conditional	(empty)	Exact Capterra product pages to scrape directly, for example https://www.capterra.com/p/135003/Slack/.
maxResults	integer	no	10	Maximum software listings to collect across all categories (1 to 1000000).
withDetails	boolean	no	true	Enrich each listing from its product page (price, pricing model, trial/version flags, features, FAQ).
minRating	integer	no	(none)	Keep only products with an overall star rating of at least this value (1 to 5).
minReviewCount	integer	no	(none)	Keep only products with at least this many reviews.
withReviews	boolean	no	false	Collect recent user reviews per product.
maxReviews	integer	no	20	Maximum reviews per product when withReviews is on (1 to 1000).
minReviewRating	integer	no	(none)	When fetching reviews, keep only reviews rated at least this value (1 to 5).
reviewsSince	string	no	(empty)	When fetching reviews, keep only reviews dated on or after this year or date (for example 2024 or 2024-06-01).
withSummary	boolean	no	false	AI 1-2 sentence product summary. Paid add-on, billed only on usable output.
withTopics	boolean	no	false	AI topic/keyword tags and a broad category per product. Paid add-on, billed only on usable output.
withReviewDigest	boolean	no	false	AI pros/cons/verdict digest of the collected reviews. Requires withReviews. Paid add-on, billed only on usable output.

Output reference

One dataset item per software product. Types: string, integer, number, boolean, object, array, or null when the source value is absent.

Field	Type	Description
logo	string	Product logo image URL.
name	string	Product name.
url	string	Capterra product page URL.
productId	string	Capterra product ID.
category	string	Capterra category the product was found in.
rating	number	Overall star rating (1 to 5).
reviewCount	integer	Total number of reviews on Capterra.
description	string	Product description.
reviewsUrl	string	URL of the product's reviews page.
startingPrice	string	Starting price, or null. Present with withDetails.
priceModel	string	Pricing model, for example Per User, Per Month.
freeTrial	boolean	Whether a free trial is offered.
freeVersion	boolean	Whether a free version is offered.
deployment	string[]	Deployment options the vendor offers (for example Cloud, SaaS, Web-Based, Desktop Windows, On-Premise Windows). Present with withDetails.
training	string[]	Training options (for example In Person, Live Online, Documentation, Videos).
support	string[]	Support options (for example Email/Help Desk, Knowledge Base, Phone Support, Chat, 24/7 (Live rep)).
targetCompanySizes	string[]	Company sizes the product targets (for example 11-50, 201-500, 1000+).
keyFeatures	string[]	Key product features.
keyFeaturesSummary	string	Prose summary of the product's features.
faq	object[]	Product FAQ as {question, answer} pairs.
reviews	object[]	User reviews. Each review has reviewerName, reviewerRole, reviewerIndustry, companySize, timeUsed, overallRating, ratings (easeOfUse, customerService, features, valueForMoney), likelihoodToRecommend, title, text, pros, cons, date, verified, reviewSource (for example Vendor Referred - Incentive Offered), incentivized (boolean), and vendorResponse. Present with withReviews.
aiSummary	string	AI product summary, or null unless withSummary is on.
aiTopics	string[]	AI topic tags, or null unless withTopics is on.
aiCategory	string	AI broad category, or null unless withTopics is on.
aiReviewPros	string[]	AI top pros from reviews, or null unless withReviewDigest is on.
aiReviewCons	string[]	AI top cons from reviews, or null.
aiReviewDigest	string	AI overall verdict from reviews, or null.
observedAt	string	ISO 8601 timestamp of when the record was collected.
error	string	null on success. On a failed run, a single item with a populated error field is written instead.

Example output record

Real record from a live run (input {"categorySlugs":["project-management"],"maxResults":3,"withDetails":true,"withReviews":true,"maxReviews":5}). Long lists are trimmed with an ellipsis:

{
  "name": "Celoxis",
  "url": "https://www.capterra.com/p/5923/Celoxis/",
  "productId": "5923",
  "category": "Project Management Software",
  "rating": 4.5,
  "reviewCount": 545,
  "description": "Celoxis is an all-in-one project management tool with built-in features, customizable reports and fast setup.",
  "startingPrice": "$10",
  "priceModel": "Per User, Per Month",
  "freeTrial": true,
  "freeVersion": false,
  "keyFeatures": ["Task Management", "Project Planning/Scheduling", "Multiple Projects"],
  "faq": [
    {"question": "What problems does Celoxis solve?", "answer": "Celoxis centralizes planning, time tracking, dashboards and workflow approvals ..."}
  ],
  "reviews": [
    {
      "reviewerName": "Sikha S.",
      "reviewerRole": "AI and ML Engineering Manager",
      "reviewerIndustry": "Information Technology and Services",
      "timeUsed": "6-12 months",
      "overallRating": 5,
      "ratings": {"easeOfUse": 5, "customerService": 5, "features": 5, "valueForMoney": 5},
      "likelihoodToRecommend": 9,
      "title": "A Powerful Platform for Scalable Project Management",
      "text": "Celoxis has helped us solve several critical project management challenges, particularly around visibility and resource allocation ..."
    }
  ],
  "observedAt": "2026-08-09T23:18:07.124Z"
}

Run via API and CLI

Start a run and wait for it to finish, then read the dataset. Replace <TOKEN> with your Apify API token.

Run synchronously and get dataset items in one call:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~capterra-scraper/run-sync-get-dataset-items?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"categorySlugs":["crm"],"withDetails":true,"minRating":4,"maxResults":25}'

Start a run asynchronously:

curl -X POST "https://api.apify.com/v2/acts/scrapers_lat~capterra-scraper/runs?token=<TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"productUrls":["https://www.capterra.com/p/135003/Slack/"],"withReviews":true,"maxReviews":50}'

Apify CLI:

apify call scrapers_lat/capterra-scraper \
  --input '{"categorySlugs":["accounting"],"maxResults":50}'

Fetch results

Every run writes to a dataset. Fetch items as JSON, CSV, or Excel by changing format:

# JSON
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=json"

# CSV
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&clean=true&format=csv"

# Paginate large datasets
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?token=<TOKEN>&offset=1000&limit=1000"

<DATASET_ID> is returned as defaultDatasetId in the run object. Use offset and limit to page through large result sets. clean=true drops empty and internal fields.

Billing and limits

• Pay per result. You are charged per software product record returned (result event). See the pricing tab for the current per-result price.
• AI add-ons are billed separately. withSummary, withTopics and withReviewDigest each charge only when they return usable output, and are available to paying users.
• No charge on failure. If a run errors, the actor writes a single item with a populated error field and does not charge for it. Empty runs cost nothing.
• Spend cap respected. Set maxTotalChargeUsd on the run; once reached, the actor stops emitting and charging further billable results.
• Free Apify plans are capped at 10 listings per run. Upgrade for higher maxResults.

FAQ and troubleshooting

Is there a Capterra API or do I need an API key? Capterra has no public data API. This actor is a Capterra scraper that returns the same software reviews data as a Capterra API would, with no API key, no login and no account on Capterra required. Results come back as JSON, CSV or Excel.

Can I use this for B2B software market research or lead generation? Yes. Pull an entire category of products with ratings, pricing, deployment and features for competitor and pricing intelligence, or collect reviews with reviewer role, industry and company size for B2B software research and lead generation.

Where do I find a category slug? It is the part before -software in a capterra.com/{slug}-software/ URL. Common short names (crm, hr, erp) are resolved automatically. You can also paste a full category URL or product URL.

Can I get user reviews? Yes. Enable withReviews and set maxReviews. Filter with minReviewRating and reviewsSince.

A run returned 0 records. Why? The slug may not match a live category. Copy the exact slug from the category page URL on capterra.com, or pass a full categoryUrls value. Zero-result runs are not charged.

Why are the AI fields null? They only populate when you enable withSummary, withTopics or withReviewDigest. Otherwise they stay null.

Is this an official Capterra tool? No. This actor is independent and has no affiliation with Capterra or Gartner. It reads only data that is publicly available on Capterra listings. Use the results in accordance with the source's terms.

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Independent tool, not affiliated with Capterra or Gartner. Accesses only publicly available listing and review data. Use in accordance with the source's terms.