Turn Wikipedia into a REST + MCP endpoint
Writ turns the Wikipedia actions you already do in a browser into a callable REST endpoint your software (and your AI agents) can call.
curl -X POST https://api.usewrit.app/v1/wikipedia/run \
-H "Authorization: Bearer wt_8f2c...a91" \
-H "Content-Type: application/json" \
-d '{ "input": { "query": "your search term" } }' No Wikipedia API yet? Build one in minutes
Record the Wikipedia task once (open an article, then extract the infobox) and call it as a REST endpoint and an MCP tool. No backend project, no waiting on Wikipedia to ship an API.
- 1Record the Wikipedia task once
Open the recorder and open an article on Wikipedia in a real browser. Writ captures each step, including login and 2FA, into a reusable workflow.
- 2Publish it as an endpoint
One click turns the workflow into a callable REST endpoint at /v1/wikipedia/run and a matching MCP tool. Inputs become a typed schema.
- 3Call it from anything
Call Wikipedia from your code, a no-code tool, or an AI agent. Run it on your own machine for free, or on metered cloud.
Read the REST API docs, see what's possible on workflows, or search for another site. Free to start. See pricing.
Wikipedia doesn't give you the endpoint you need
Wikipedia has an API, but rendered infoboxes and tables are often easier to extract cleanly from the rendered page.
Writ closes that gap. Record the Wikipedia task once (or describe it to an AI session) and publish it as a REST endpoint at /v1/wikipedia/run and a matching MCP tool. Writ runs on your own accounts, with your own credentials and data, on sites you are authorized to use.
What you can call on Wikipedia
Each operation below is a real Wikipedia action recorded into a workflow and exposed as a typed endpoint.
Returns structured fields such as article title, infobox field, table row, last-edited date: typed JSON, not raw page text.
A real Wikipedia endpoint, authorized with a wt_ key
POST your inputs, get structured output. Authenticate every call with a scoped wt_ key.
curl -X POST https://api.usewrit.app/v1/wikipedia/run \
-H "Authorization: Bearer wt_8f2c...a91" \
-H "Content-Type: application/json" \
-d '{ "input": { "query": "your search term" } }' import requests
r = requests.post(
"https://api.usewrit.app/v1/wikipedia/run",
headers={"Authorization": "Bearer wt_8f2c...a91"},
json={"input": {"query": "your search term"}},
)
print(r.json()["output"]) {
"run_id": "run_wiki_7b21",
"status": "succeeded",
"output": {
"article_title": "...",
"infobox_field": "...",
"table_row": "..."
}
} Also an MCP tool. The same workflow is exposed as an MCP tool your AI agent can call. See Wikipedia MCP tools, or browse all MCP clients.
Login, 2FA, and dynamic pages on Wikipedia
The reason Wikipedia has no usable API is the same reason it's hard to automate. Writ handles it.
Wikipedia pages are public; Writ renders them in real Chromium to extract infobox and table data accurately.
Three ways to build your Wikipedia endpoint
Pick whichever fits the task. All three produce the same callable workflow.
Built on the same engine as the recorder and workflows.
Trigger your Wikipedia endpoint on a change
Monitor Wikipedia for article edited, infobox field change, new section added and fire this endpoint the instant something changes.
Monitors check as fast as every 10s (10s on Enterprise). A detected change becomes an automation trigger that runs your workflow in seconds. Monitor Wikipedia ▸
Free on your own machine, or on cloud
Local / BYO agent
No compute charge. The agent runs on your hardware, so it can reach Wikipedia even from an intranet or VPN-only network, and your AI keys never leave your machine.
Writ cloud
Metered by running time at $0.12 per browser-hour, drawn from your plan’s included usage. No infrastructure to manage.
Other ways to work with Wikipedia
Wikipedia API questions
Does Wikipedia have an API?
Is there a ready-made Wikipedia API I can use?
Is it allowed to automate Wikipedia this way?
Does this work with Wikipedia login and 2FA?
Can I run it on my own machine?
Build a Wikipedia API
Record it once, then call it from your software and your AI agents. Get started free.