Where does the chrome web store extensions data come from, and what are its limits?

Chrome Web Store extensions: user counts, ratings, first-published dates, and whether there are signs of monetisation (in-app purchase flag, paid wording, pricing page). The store only gives user-count brackets (e.g. 10,000+), not exact numbers; many users does not mean revenue — this is evidence of demand, not of money.

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Chrome Web Store extensions: an MCP database you can query from Claude Code or Cursor

Updated daily, last 2026-11-12 · MCP data · lib chromestore

Chrome Web Store extensions: user counts, ratings, first-published dates, and whether there are signs of monetisation (in-app purchase flag, paid wording, pricing page).

What you can ask

Which extensions published in the last three months already passed 10,000 users?
Among meeting-notes extensions, which have many users but no visible pricing?
How many extensions launch in this niche each year, and how many users do they keep?

These are example phrasings. Once connected, ask in plain language; the agent decides which table to query and how to filter.

Example: a real query and what it returned today

Your agent calls the MCP data tool like this (you never write it yourself — you just ask):

data(lib="chromestore", args="categories")

Extensions per category, how many pass 1k / 10k users, and the share showing monetisation, first 8 rows:

category	n	≥1k	≥10k	total_users	median_users	收费迹象 %
productivity/workflow	15,966	5707	2276	1,023,868,323	306	25.0
productivity/tools	28,194	5730	1700	360,670,127	92	25.0
make_chrome_yours/privacy	1623	429	213	198,424,567	75	29.0
make_chrome_yours/accessibility	2737	1107	452	146,038,377	499	16.0
productivity/developer	7674	1878	678	115,202,005	115	16.0
productivity/education	3221	588	205	106,215,244	67	25.0
productivity/communication	1755	353	127	70,326,681	58	37.0
lifestyle/social	2527	969	316	67,591,424	425	28.0

How fresh the data is

This is today’s output of coverage (row counts and date ranges per table):

what	n	first	last
item(站点地图里的)	380,665	2026-11-01	2026-11-11
item(有详情页)	29,075	2026-11-01	2026-11-11
item(只有卡片:名字/用户数/评分/官网)	50,744
item(只在名单上、没拍到)	301,146
item(已下架 / 商店不展示)	2102	2026-11-02	2026-11-11
item_snap	299,320	2026-11-01	2026-11-11

Limits: what this data cannot tell you

The store only gives user-count brackets (e.g. 10,000+), not exact numbers; many users does not mean revenue — this is evidence of demand, not of money.

Connect these databases to your own agent (Claude Code, Cursor, Codex…)

It is a remote MCP server: sign in with Google, paste one prompt and your agent configures itself, then ask in plain language inside your project. Free during beta: 200 queries a day, up to 50 rows each.

Install the skill Or just ask on the web →

FAQ

How do I query it from Claude Code, Cursor or Codex?
It is one library inside the Stringers remote MCP server. Sign in with Google at stringers.io/en/start.html to get a personal URL, paste the prompt to your agent and it configures itself; then just ask — the agent calls the data tool with lib "chromestore".

Is it free?
Free during beta: 200 queries per account per day, up to 50 rows per query.

Workflows that use this database

Validate a product idea: is anyone making money from it

Chrome Web Store extensions: an MCP database you can query from Claude Code or Cursor

What you can ask

Example: a real query and what it returned today

How fresh the data is

Limits: what this data cannot tell you

FAQ

Workflows that use this database

Other databases