Products

DataStock

Instantly Download Clean & Ready-To-Use Web Datasets

datastock.shop Data & Analytics / Data APIs & Datasets

AI Benchmark
Desktop
Mobile
Monthly visits
<5K
Sep 2026
Public revenue
Undisclosed
No public revenue evidence yet
Entry price
$20/mo
Lower than 61% of peersNiche median $29/mo
Creators
Arpan Jha
@arpanjha10· 72 followers
Launched
7y ago
2018-11-23 · Est.

Traffic

Monthly visitsData through Sep 2026 · Oct 2026 pending

Marketing moves

Launches, search & content, referrals, promotions
  • Launched on Product HuntLaunch

    Download clean and ready-to-use web datasets.

    Mar 23, 2020 · 6y agoLaunch page

  • Launched on Product HuntLaunch

    Download clean and ready-to-use web data sets

    Nov 23, 2018 · 7y agoLaunch page

Traffic sources

Sep 2026

Traffic breakdown

Channels

  • Direct38%
  • Organic Search36%
  • Referrals9%
  • Social6%
  • Other10%

Countries

  • India100%

Search

Domain authority —Domain registered 2018-10-24

KeywordMonthly volume
databoutique470
flipkart dataset kaggle130
datazop70

Traffic data: Vaneform

Pricing

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

Pages & changes

Tracked since 2018-11-23

Key pages

Weekly snapshots
Home
datastock.shop/ Snapshot 2026-11-04

Changes

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

Questions & evidence

How much does DataStock cost?
The catalog records a monthly entry price of $20. Plan details and current billing terms are not yet available.
How much website traffic does DataStock get?
Vaneform estimates <5K website visits in 2026-09. Visits can include repeat visits; this estimate measures web traffic separately from paying customers or revenue.Source
What is DataStock and what platforms does it support?
DataStock is catalogued under Data APIs & Datasets: Instantly Download Clean & Ready-To-Use Web Datasets. 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.