Capterra Scraper

Scrape Capterra software categories from Python or the command line: every product listed in a category, with the vendor, overall star rating and its 1-to-5 breakdown, the ease-of-use, customer-service, features and value-for-money sub-scores, review counts by company size and period, starting price, free trial and free version flags, the feature list and whether the slot is a paid placement, as JSON or CSV. The code is free and open source (MIT). It runs on the QuanticData Data API, so there are no proxies to rotate and no headless browser to keep alive: sign in once and run a command.

pip install git+https://github.com/quantumproxies/capterra-scraper
capterra-scraper login
capterra-scraper products crm --max-results 50 -o crm_software.csv

login opens the QuanticData sign-in page in your browser. New accounts get $2 of free usage every month, no card required: create one.

What it scrapes

Command	Input	Returns	Per run
capterra-scraper products	software category	Name, vendor, rating, review counts, sub-scores, pricing, paid flag, 34 fields per row (fields and price)	up to 500

Capterra orders its category pages by bid, so the first rows are usually paid placements: sponsored and bid_spot (1 = top) tell an advertisement from an organic listing, and rank keeps Capterra's own order. product_id is the number in the product URL and stays stable, the key to deduplicate across categories.

Sample output

A real row from capterra-scraper products crm --max-results 3 (2026-10-23):

{
  "url": "https://www.capterra.com/p/155928/Zoho-CRM/",
  "logo": "https://gdm-catalog-fmapi-prod.imgix.net/ProductLogo/82a342f4-1d08-4265-877a-83f0d7b3858f.png",
  "name": "Zoho CRM",
  "rank": 1,
  "slug": "Zoho-CRM",
  "rating": 4.31,
  "vendor": "Zoho",
  "reviews": 7007,
  "bid_spot": 1,
  "category": "CRM Software",
  "features": [
    "Activity Dashboard",
    "Activity Tracking",
    "AI Copilot",
    "Alerts/Notifications",
    "API",
    "Business Card/Badge Scanning",
    "Calendar Management",
    "Calendar/Reminder System"
  ],
  "sponsored": true,
  "product_id": 155928,
  "category_id": "4c7ba4f6-a5c3-4fcf-bb0b-388597ecee9d",
  "description": "Zoho CRM is an AI-powered sales CRM that empowers SMBs & enterprises of all sizes with a 360º customer relationship management solution",
  "ease_of_use": 4.15,
  "reviews_url": "https://www.capterra.com/p/155928/Zoho-CRM/reviews/",
  "product_uuid": "2143ac98-b65c-4bb1-ae6b-a6d200b7a22f",
  "functionality": 4.27,
  "pricing_plans": null,
  "has_free_trial": true,
  "price_currency": null,
  "starting_price": null,
  "value_for_money": 4.29,
  "customer_service": 4.08,
  "has_free_version": true,
  "long_description": "Zoho CRM empowers businesses of all sizes with a 360º customer relationship lifecycle management solution.",
  "rating_breakdown": {
    "1": 84,
    "2": 172,
    "3": 781,
    "4": 2388,
    "5": 3582
  },
  "reviews_mid_size": 581,
  "reviews_enterprise": 539,
  "reviews_last_6_months": 42,
  "reviews_last_12_months": 75,
  "reviews_small_business": 5286,
  "likelihood_to_recommend": 0.683
}

Python

from quanticdata_capterra_scraper import CapterraScraper

capterra = CapterraScraper()  # saved login, or QUANTICDATA_API_KEY

crm = capterra.products("crm", max_results=50)
for p in crm:
    print(p["rank"], p["sponsored"], p["name"], p["vendor"], p["rating"], p["reviews"])
crm.to_csv("crm_software.csv")

organic = [p for p in crm if not p["sponsored"]]
print(len(organic), "organic listings;", crm.rows[0]["rating_breakdown"])

Each call returns a Run: iterate it for the rows (plain dicts), take len(), or save it with to_csv(), to_json(), to_jsonl() or to_dataframe() (pandas). Errors are specific: InsufficientCredit, RateLimited, InvalidInput, JobFailed, AuthError.

Examples

• Several categories in one CSV: List a few Capterra categories, deduplicate the products by Capterra id and keep the categories each one appears in, with vendor, ratings, sub-scores and pricing. See examples/categories_to_csv.py.
• Organic ranking: Drop the paid placements from a category and rank what is left by review count and rating, to see the order buyers would see without the ads. See examples/organic_ranking.py.
• Free versions worth trying: Keep the products of a category that Capterra flags with a free version, above a minimum rating and review count, sorted by value-for-money score. See examples/free_versions.py.

Command line

Results print as a table; -o file.csv, -o file.json or -o file.jsonl writes a file. List inputs take a b c, a,b,c, @file.txt (one per line) or - (stdin). --no-wait starts a long run in the background and prints its id; capterra-scraper run <id> -o out.csv collects it later.

capterra-scraper products

Software products from a Capterra category: vendor, rating, rating breakdown, sub-scores, pricing and paid-placement flag.

capterra-scraper products CATEGORY [options]

Option	Type	Default	Description
CATEGORY	string		Software category as a plain keyword ("crm", "project management", "help desk", "accounting"), matched against Capterra's own category index, where an exact name wins ("crm" is CRM, not Construction CRM). A Capterra category slug or URL works too.
--country	string		Country to run the request from, as an ISO 3166-1 alpha-2 code (us, gb, de...).
--max-results	integer	25	How many products to deliver at most (1–500). You pay only for delivered products.

Output fields

capterra-scraper products: 34 fields

Field	Type	Description
rank	integer	Position in Capterra's own order for this response, counting across pages. Note this order is bid-driven, not merit-driven — see sponsored.
product_id	integer	Capterra's numeric product id (its seoId, the number in the product URL). Stable, and the key used to de-duplicate.
product_uuid	string or null	Capterra's internal product UUID.
name	string	Product name.
vendor	string or null	Company behind the product, e.g. "Oracle" for NetSuite. Published in Capterra's data layer only — it does not appear anywhere in the rendered listing card.
rating	number or null	Overall star rating out of 5, rounded to 2 decimals. Capterra publishes it at raw float precision (4.233430091920658) and prints it as 4.2.
reviews	integer or null	Total number of reviews. 1 is a real value and is kept — several listed products have a single 5.0 review.
rating_breakdown	object or null	Star histogram as {"1":n,…,"5":n}, keyed by star value. Capterra emits these buckets unordered and omits a star nobody awarded.
ease_of_use	number or null	Capterra's "Ease of Use" sub-score out of 5, rounded to 2 decimals.
customer_service	number or null	Capterra's "Customer Service" sub-score out of 5, rounded to 2 decimals.
functionality	number or null	Capterra's "Features" / functionality sub-score out of 5, rounded to 2 decimals.
value_for_money	number or null	Capterra's "Value for Money" sub-score out of 5, rounded to 2 decimals.
likelihood_to_recommend	number or null	Likelihood to recommend as the 0–1 fraction Capterra publishes (0.63 = the 63% its UI shows).
description	string or null	The short product description Capterra shows on the listing card.
category	string or null	The category being listed, e.g. "CRM Software", read from the page breadcrumb.
category_id	string or null	Capterra's internal UUID for the category.
starting_price	number or null	Starting price of the default plan, in price_currency, when Capterra publishes a pricing plan for the product.
price_currency	string or null	Currency of starting_price.
pricing_plans	integer or null	How many pricing plans Capterra lists for the product. Null when it publishes none.
has_free_trial	boolean or null	Whether Capterra flags a free trial.
has_free_version	boolean or null	Whether Capterra flags a free version.
sponsored	boolean	True when the row is a paid placement. Capterra orders its directories by bid, so this is how to tell an advertisement from an organic listing.
bid_spot	integer or null	The advertising slot the vendor paid for (1 = top). Null on organic rows.
logo	string or null	Product logo image URL.
slug	string or null	Capterra's URL slug for the product.
url	string or null	Capterra product page URL.
reviews_url	string or null	Capterra reviews page URL, only when the product actually publishes one.
long_description	string or null	The product's full description, when the listing carries one.
features	string[] or null	Feature names Capterra lists for the product, alphabetical — the category listing carries at most the first 50.
reviews_small_business	integer or null	Reviews written by small businesses.
reviews_mid_size	integer or null	Reviews written by mid-size businesses.
reviews_enterprise	integer or null	Reviews written by enterprises.
reviews_last_6_months	integer or null	Reviews published in the last 6 months.
reviews_last_12_months	integer or null	Reviews published in the last 12 months.

Sign-in and API keys

• capterra-scraper login signs you in with OAuth 2.1 and PKCE in the browser. The token is stored in ~/.config/quanticdata/credentials.json (readable only by you) and refreshed automatically. One login serves every QuanticData tool on the machine.
• No browser on the machine (SSH, Docker, Colab): run capterra-scraper login --no-browser, open the link anywhere, then paste back the address the browser ends on.
• Scripts and CI: set QUANTICDATA_API_KEY to a key from the dashboard, or store one with capterra-scraper login --api-key.
• capterra-scraper logout revokes the token. The connection is listed under API keys in the dashboard as "API · QuanticData CLI"; deleting that key disconnects every machine that uses it.

Pricing

The code is free and MIT-licensed. Runs are billed to your QuanticData account per delivered row, at the price shown on each collector page linked above; $2 of usage is free every month and failed runs are never billed. Plans with higher limits: pricing.

Other ways to call it

The same data over plain HTTP:

curl -X POST https://api.quanticdata.io/v1/scraper/collectors/capterra_products/run \
  -H "Authorization: Bearer $QUANTICDATA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"input": {"category": "crm", "max_results": 3}}'

• API reference with Python, Node, PHP and curl examples.
• MCP server to give Claude, Cursor or any MCP client the same tools.
• n8n node for no-code workflows.

FAQ

Is this Capterra scraper free?

The code is free and MIT-licensed. Scraping runs on your QuanticData account: $2 of usage is free every month with no card, then you pay per delivered row at the price shown on each collector page. Failed runs are never billed.

Do I need proxies or a headless browser?

No. You send a category and get rows back; the requests run on QuanticData's side.

What does each row contain?

One product of the category: vendor, overall rating and star histogram, four sub-scores, likelihood to recommend, review counts (total, by company size, last 6 and 12 months), starting price and number of plans, free trial and free version flags, feature list, descriptions and links.

How many products can one run return?

Up to 500 products per run; ask for fewer with --max-results and you pay only for what is delivered.

Can I export to CSV or Excel?

Add -o results.csv (or .json, .jsonl). The rating breakdown becomes rating_breakdown.1 to rating_breakdown.5 and the feature list is joined with '; ', so the CSV opens cleanly in Excel or Google Sheets.

Can I run it on a schedule?

Yes. Set QUANTICDATA_API_KEY in the environment and call the CLI or examples/categories_to_csv.py from cron, GitHub Actions or any scheduler.

Related scrapers

• G2 Scraper: G2 scraper for Python and the command line.
• Website Technology Checker: Website technology checker for Python and the command line.
• Company Data API: Company data API for Python and the command line.

License

MIT. Built and maintained by QuanticData.