Products

Seodatabases (2023)

A web scraper that scraped the entire internet and uses 5 different AI classifier models to add tags, labels, descriptions

seodatabases.com Data & Analytics / Data APIs & Datasets

AI Benchmark
Monthly visits
<5K
Oct 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
Unknown
No monthly subscription pricing
Creators
David Movsisian
@codestarrk· 790 followers
Launched
22mo ago
2025-01-31 · Est.

Traffic

Monthly visitsData through Oct 2026

Marketing moves

Launches, search & content, referrals, promotions
X accounts@_davidcodes
  • Launched on IndiePageLaunch

    Seodatabases (2023) — A web scraper that scraped the entire internet and uses 5 different AI classifier models to add tags, labels, descriptions, all sorts of data and store them in a database

    Jan 31, 2025 · 22mo agoLaunch page

Traffic sources

Oct 2026

Traffic breakdown

Channels

No data yet

Countries

No data yet

Search

Domain authority —Domain registered Unknown

No search keyword data for this website yet.

Traffic data: Vaneform

Pricing

Pricing page not identified yet, or no public pricing listed.

Pages & changes

Tracked since 2026-09-15

Key pages

Weekly snapshots

No page snapshots yet. Once followed, home and pricing pages are captured weekly.

Changes

No pricing, plan, or positioning changes detected since tracking started.

Questions & evidence

How much website traffic does Seodatabases (2023) get?
Vaneform estimates <5K website visits in 2026-10. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is Seodatabases (2023) and what platforms does it support?
Seodatabases (2023) is catalogued under Data APIs & Datasets: A web scraper that scraped the entire internet and uses 5 different AI classifier models to add tags, labels, descriptions. Supported platforms: Web.

Related products in this category

Data & Analytics / Data APIs & Datasets

These products share a catalog category. Compare customer tasks, features and deployment requirements before treating them as alternatives.