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Automate Wikipedia

Turn the repetitive Wikipedia work you do by hand (open an article, extract the infobox) into a workflow Writ runs for you, on your own account, on a schedule or on demand.

Writ runs on your own accounts, with your own credentials and data, on sites you are authorized to use.
Wikipedia workflow
  1. 1
    open an article
  2. 2
    extract the infobox
  3. 3
    extract a table
  4. 4
    export results

Recorded once, then run for you

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why

Stop doing Wikipedia by hand

The Wikipedia tasks you repeat (open an article, extract the infobox, extract a table) are exactly the kind of work a computer should do. But Wikipedia only exposes part of it through an API, and the flow runs behind a login and dynamic pages. Wikipedia's API is open, 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 Writ runs it for you in a real browser, on your own account. Writ runs on your own accounts, with your own credentials and data, on sites you are authorized to use.

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automate

Wikipedia tasks Writ can run for you

Each of these is a real Wikipedia action, captured into a workflow and run on your own account.

{ }open an article
{ }extract the infobox
{ }extract a table
{ }export results

Workflows extract structured fields such as article title, infobox field, table row, last-edited date along the way: typed data you can route anywhere.

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build

Three ways to build your Wikipedia automation

Pick whichever fits the task. All three produce the same workflow Writ can run for you.

Record itDo the Wikipedia task once in a real browser (open an article, then extract the infobox) and the recorder captures every step into a reusable workflow.
Describe it to AITell an AI session your goal on Wikipedia in plain language; it drives the live page and builds the workflow for you, no recording needed.
Discover itLet API discovery watch Wikipedia's own network calls as you browse, then turn the underlying requests into a fast, headless workflow.

Built on the same engine as the recorder and workflows, with 30+ step types.

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the hard web

Login, 2FA, and dynamic pages on Wikipedia

The reason Wikipedia is tedious to automate is the same reason most tools can't. Writ handles it.

Wikipedia pages are public; Writ renders them in real Chromium to extract infobox and table data accurately.

PersonasTOTP & mailbox OTP AI navigationReal Chromium rendering
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when it runs

Run the Wikipedia automation on your terms

On a schedule, on demand, or the instant something changes. You choose the trigger.

On a scheduleRun the Wikipedia task every hour, every morning, or any cadence. No one has to remember to do it.
On demandTrigger a single run from the dashboard, a webhook, your code, or an AI agent, whenever you need it.
On a changeWatch Wikipedia for article edited or infobox field change and fire the automation the instant it happens.
  1. 1
    Build the Wikipedia workflow once

    Record the task, describe it to AI, or discover it from the network. Writ captures each step, including login and 2FA, into a workflow you can edit.

  2. 2
    Run it on your terms

    Run it on demand, on a schedule, or fire it from a Monitor when Wikipedia changes. It runs on your own Wikipedia account, in a real browser.

  3. 3
    Call it from anything

    The same workflow is a REST endpoint at /v1/wikipedia/run and an MCP tool, so your code, a no-code tool, or an AI agent can trigger the Wikipedia automation too.

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watch

Trigger the Wikipedia automation on a change

Monitor Wikipedia for article edited, infobox field change, new section added and run your workflow the moment it happens.

Monitors check as fast as every 10s (10s on Enterprise). A detected change becomes a trigger that runs your Wikipedia automation in seconds. Monitor Wikipedia ▸

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run it

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.

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callable

The same Wikipedia automation is an API and an MCP tool

Automating Wikipedia for yourself and calling it from software are the same workflow. Once you have it, publish it as a REST endpoint at/v1/wikipedia/run and a matching MCP tool, so your code or an AI agent can trigger the Wikipedia task too.

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faq

Automating Wikipedia: questions

How do I automate Wikipedia?
Record the Wikipedia task once in the recorder (open an article, extract the infobox, extract a table) or describe your goal to an AI session. Writ turns it into a workflow it can run for you on a schedule or on demand, on your own Wikipedia account. It usually takes minutes, not a backend project.
Is it allowed to automate Wikipedia this way?
Collect Wikipedia data you have the right to access and respect its licensing and rate limits. Writ runs on your own accounts, with your own credentials and data, on sites you are authorized to use.
Does Wikipedia automation work behind login and 2FA?
Wikipedia pages are public; Writ renders them in real Chromium to extract infobox and table data accurately. Writ handles TOTP and mailbox-OTP two-factor through Personas, so the automation runs inside your own authenticated Wikipedia session.
Can I run the Wikipedia automation without writing code?
Yes. Recording and AI sessions need no code at all. If you do want to trigger it from software, the same workflow is a REST endpoint and an MCP tool, but that is optional.
Where does it run, and what does it cost?
Run it on your own machine with a local or BYO agent for no compute charge, useful when Wikipedia is only reachable from your network or VPN. Or run it on metered cloud at $0.12 per browser-hour, drawn from your plan’s included usage. Start free.
rec ▸ ready

Automate Wikipedia in minutes

Record it once, then let Writ run it for you: on a schedule, on demand, or on a change. Get started free.