Capterra Software Directory

A Gartner-owned marketplace where B2B software buyers compare products, and therefore a catalog of 86,267 software products described in one consistent shape. Every product gets a profile; every profile carries the same documented surface - overall rating out of 5, the verified review count behind it, starting price with its billing basis, four sub-scores (Ease of Use, Features, Customer Service, Value for Money), pros and cons, per-feature ratings, integration counts and a visible Last updated date. The homepage advertises 2.5M+ verified reviews, 50M+ yearly users and 25+ years of buying advice.

Two things make this worth a pipeline rather than a browser tab. First, uniformity: 86,267 profiles that share one schema read like a single table, so cross-vendor cuts - price floors by category, rating distributions by segment - actually compute. Second, the review bodies: each carries the reviewer's role and industry, a likelihood-to-recommend score and switch-from attribution, which means the directory records not just how a product scores but which tool its detractors left.

The taxonomy holds it together: 1,025 category pages - project management software, data analysis software and 1,023 siblings - each rendering about 30 products with ratings, prices and sub-scores inline.

One product profile exactly as captured during the August 2026 verification pass:

product name        : Bitrix24
overall rating      : 4.8 / 5
review count        : 1,001
starting price      : $69.00
pricing details     : Flat Rate, Per Month
highest rated feat. : Customizable Fields: 4.9
integrations        : 83+ software tools
last updated        : 2026-08-20

Eight columns tell most of the story: a rating anchored by a four-digit review count rather than a handful of opinions, a price stated with its billing basis, a named feature the buyers themselves rated highest, and an integration footprint counted in dozens. The remaining documented columns - the four sub-scores, pros and cons, free-trial and free-version flags, category assignment - ride along on every profile, each with its own captured example in the dictionary below.

Get a sample of this dataset filtered to your categories, competitors or price bands, and it comes back in the same shape.

Sixteen documented fields per profile, every definition verified against live pages during the August 2026 pass and every example captured from the directory itself - nothing inferred, nothing padded.

• Geography: a global vendor catalog published on the English-language US storefront; localized Capterra editions exist for other markets and are scoped separately on request.
• Temporal: a continuously refreshed present. Each profile carries its own visible Last updated date - the sampled Bitrix24 profile showed 2026-08-20 - and no archival history is published behind it. It is a photograph that keeps re-shooting itself, not an album; history is something you accumulate from scheduled deliveries, which Datadory handles.
• Granularity: one profile per software product - 86,267 indexed - grouped into 1,025 category pages that render roughly 30 products each, so both the individual-product view and the category-level cut are native to the structure.

API, files, or your warehouse. Daily, weekly, or hourly.

Samples precede any commitment, and full deliveries land keyed on product identity and category assignment, so each pull joins cleanly to the last and to whatever else you already hold.

Ranked by fit recorded in Datadory's persona index:

1. Sales & Growth Teams - mine 86,267 profiles for category, starting price and competing products to build ICP lists and battlecards (sales growth teams x application software).
2. Market Researchers & Consultants - size and segment the software market on a 1,025-category taxonomy with citable product counts and price floors (market researchers x application software).
3. Competitive Intelligence & Product Teams - track rival profiles for rating, review count, feature sub-scores and Last updated dates (competitive intel product teams x application software).
4. Journalists, Academics & Students - cite product counts, ratings and review volumes from a Gartner-owned source when reporting on the SaaS landscape (journalists academics x application software).
5. Data Scientists & ML Engineers - turn the category tree and per-feature ratings into a SaaS-taxonomy corpus for NLP and market-mapping experiments.
6. Investors & Quant Researchers - read product counts and review velocity per category as a bottom-up measure of segment crowding before a thesis call.
7. E-commerce Operators - shortlist storefront-adjacent SaaS by comparing feature scores and starting prices side by side.
8. Developers & Data-Product Builders - ship software-marketplace features on a directory that already agrees with itself about schema.

G2 software categories is the closest structural rival - also operated within Gartner Digital Markets - but its public surface is smaller: 2,239 category pages across 43 top-level groups with no public product count, against 86,267 enumerated profiles here. SourceForge software directory covers a different population - 500,000+ open-source projects with download counts rather than commercial B2B buyers rating paid products. Product Hunt launches capture the moment of arrival, not the accumulated verdict. For buyer-side ratings, prices and sub-scores at scale, this is the deepest directory on the application software shelf - the industry hub lays the whole stack out.

Stated plainly, because they shape the analysis:

• No archive. Coverage is the current state of each profile plus its Last updated date. A time series of a rating or price means accumulating deliveries over time, which is a scheduling decision, not a research project.
• Category pages render about 30 products each. Per-category totals are not printed on the page; they come from the full enumeration Datadory maintains, which is why category-level counts in a delivery are complete rather than first-page impressions.
• Sub-score labels are display labels. Ease of Use, Features, Customer Service and Value for Money are observed as on-page labels rather than a published machine-readable schema; the dictionary fixes their names once so downstream code can rely on them.
• One storefront spine. Figures reflect the English-language US edition; localized markets exist as separate editions and need separate scope.

Because the raw artifact is 86,267 individually-designed pages and most questions want a table. Datadory normalizes every profile to the sixteen-field dictionary above, cuts samples to your category set, competitor list or price band, and schedules deliveries into your warehouse so the directory becomes a longitudinal asset instead of a very tall stack of screenshots. Browse the rest of the shelf on the application software data hub, the best application software datasets ranking, or the full catalog.