Turns the autobuyer from a page scraper into something that acts. A dashboard button queues a run; a desktop process executes it against the real browser. lib/automations.ts — automations are declarative step lists nested inside the firm whose site they drive. Steps are click / type / wait / navigate, and they inherit the firm's tab pattern and URL, so one firm's automation can't act on another's tab. Adding a button means adding an entry here; the page renders buttons from the API and the runner receives steps from the server, so neither needs editing. Runs key on firm:automation — every firm will plausibly have its own "buy-accounts", and a bare id would resolve to the wrong one. clicker/runner.py — the daemon behind the buttons. Claims a queued run, works through the steps, reports each one back for the page's live log. Only one run executes at a time: two processes driving one physical mouse would interleave clicks. Heartbeats on its own thread, because a step can block for tens of seconds and folding the beat into the main loop would show the runner as offline in the middle of the run it was executing. clicker/actions.py — one implementation of the safety checks, shared by the CLI and the runner. Refuses to act when the element is covered by an overlay, when coordinates fall off-screen, when the browser can't be confirmed frontmost, or (for type) when the target isn't an editable field. Typing: uneven human cadence, and the field is read back afterwards and compared against what was typed — a field that never took focus fails silently and looks identical to success otherwise. Non-ASCII is rejected because pyautogui skips those characters without complaint, and newlines because Enter may submit the form. Typos are deliberately not simulated: a mistyped digit in a trading form is a real loss, and the correction is the part that can go wrong. Extension: opens the firm's page when no tab matches, navigates to a specific page for a navigate step (skipped when already there, so page state survives), and retries the locate while a freshly loaded React app mounts — `complete` only means the document loaded. Staleness reporting, after it cost three debugging rounds: Chrome doesn't reload an unpacked extension and Python doesn't reload a running process, so both now report their version. A stale runner gets a red banner naming both versions and the automation buttons are disabled, rather than failing mid-run on a step type it predates. Scale detection is now conservative: a raw OS/browser width ratio is only trusted when it lands on a real scaling factor. On this multi-monitor desktop the previous logic would have silently halved every coordinate. Verified end to end against the live browser: navigate, locate, and a real click (run #12, all three steps). API round-trips, claim-once semantics, run cancellation, the heartbeat online/offline lifecycle, motion geometry and timing, focus activation, and typing verification all pass. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Clicker
Moves the real desktop mouse and clicks an element you name with a CSS selector.
The extension can see the DOM but can't move the mouse; this script can move the mouse but can't see inside Chrome. They meet at the dashboard API:
clicker --POST /api/autobuyer/locate------> "where is button.buy?"
extension --POST /api/autobuyer/locate/claim takes the request
extension raises the Chrome window, brings
the tab to the front, scrolls the
element to centre, measures it
extension --POST /api/autobuyer/locate/result desktop x,y
clicker --GET /api/autobuyer/locate?id=---> reads the answer
clicker moves the mouse, clicks
Two ways to run it
clicker.py — one action at a time, from the shell. Use this to find
selectors and confirm coordinates before wiring anything up.
runner.py — the daemon behind the dashboard's buttons. Leave it running; it
polls for queued runs and executes the steps.
python runner.py # then press a button on the AutoBuyer page
python runner.py --dry-run # walks the steps, never presses or types
Automations are defined in lib/automations.ts, and the steps are sent to the
runner by the server — so adding a button means editing that file, and nothing in
the runner or the page changes. Each run reports step-by-step progress back to the
dashboard, and the page's Stop button halts a run between steps.
Only one run executes at a time: two processes driving the same physical mouse would interleave clicks.
Setup
pip install -r requirements.txt
On macOS you must grant Accessibility permission to whatever runs the script
(Terminal, iTerm, VS Code) — System Settings → Privacy & Security → Accessibility.
Without it pyautogui moves nothing and fails silently.
Use
The AutoBuyer switch on the dashboard is the master arm: the script refuses to run while it's off.
# Measure only — no mouse movement. Start here.
python clicker.py locate "button.buy"
# Move the cursor to the target but don't press.
python clicker.py click "button.buy" --dry-run
# Actually click.
python clicker.py click "button.buy"
# Type into a field: clicks it to place the caret, then types.
python clicker.py type 'input[name="quantity"]' --text "5000" --clear
# Keep the text out of shell history.
echo "5000" | python clicker.py type 'input#qty' --stdin --clear
# Pin it to a specific tab, and pick the 3rd match.
python clicker.py click ".trade-btn" --index 2 --url "https://tradeify.co/*"
| Flag | Meaning |
|---|---|
--url |
Chrome match pattern for the tab. Without it, the active tab is used. |
--index |
Which match, when the selector hits several (default 0). |
--api |
Dashboard URL (default http://localhost:3000). |
--timeout |
Seconds to wait for the extension (default 20). |
--scale |
CSS-to-desktop pixel ratio. Auto-detected; override if clicks land off. |
--dry-run |
Move the cursor, don't press. |
--force |
Click even when something is covering the element. |
--robotic |
Straight-line move and instant click, skipping the motion model. |
--seed |
Seed the motion RNG so a run replays identically (debugging). |
--no-activate |
Don't raise the browser first. The click may then be swallowed. |
--text |
Text to type (action type). |
--stdin |
Read the text from stdin instead, keeping it out of shell history. |
--clear |
Select-all and delete before typing, instead of appending at the caret. |
--allow-enter |
Permit newlines. Each one presses Enter, which may submit the form. |
--no-verify |
Skip reading the field back after typing. |
Typing
type clicks the field to place the caret, then types with an uneven human
cadence (45–130ms between keys, a beat after each space, an occasional longer
pause). Real OS-level keystrokes are also the correct way to fill a React form:
setting .value directly is ignored by controlled components, while genuine key
events are not.
Four guards, all of which catch silent failures:
- Non-ASCII is rejected.
pyautogui.write()has no keycode foréor£and skips them without complaint, which would leave a quietly truncated value in the field. Better to refuse than to submitcafwhere you meantcafé. - Newlines are rejected unless
--allow-enter, because Enter may submit the form — and on this site that could mean placing an order. - Non-editable targets are refused — disabled, read-only, or simply not an input. The keystrokes would go nowhere.
- The field is read back afterwards and compared against what was typed
(
--no-verifyskips it). A field that never took focus, or that ignored the input, otherwise looks exactly like success. Exit code 4 means the text did not land.
--clear selects-all and deletes first. Without it the text is inserted at
wherever the caret landed, which for a field with existing contents usually
produces something like 50005000.
Typos are deliberately not simulated. A mistyped digit in a trading form is a real loss, and the backspace-and-correct step is exactly the part that can go wrong — a field with input masking or autocomplete can swallow the correction and leave the wrong number behind.
Don't pass credentials via --text: it lands in your shell history and in the
process list. --stdin avoids both, but nothing here is built to handle secrets
safely.
Window focus
A click on a window that isn't focused is consumed by the window manager activating that window — it never reaches the control underneath. That's why an automated click against a background Chrome appears to do nothing the first time and work the second: the first click only brought Chrome forward.
The extension calls chrome.windows.update({focused: true}), but that only orders
windows within Chrome. If the frontmost application is your terminal — which
it is, since that's where you launched this — Chrome is still in the background.
So focus.py raises the browser application itself immediately before the press,
then confirms it actually came forward before committing to the click. If it can't
verify, it refuses rather than firing a click that would be eaten (exit code 3).
On macOS this uses NSWorkspace via pyobjc, which needs no Automation permission —
activating an app is not scripting it. Without pyobjc it falls back to osascript,
which does prompt for Automation permission the first time.
Cursor motion
humanize.py moves the pointer the way a hand does rather than teleporting:
- a curved (cubic Bézier) path instead of a straight line, bowing to one side
- eased velocity — accelerate out, coast, decelerate in
- sub-pixel tremor that decays near the target, so the landing stays exact
- long throws (>260px) sometimes overshoot slightly and pull back
- a 60–170ms dwell after arriving, before the press
- the button held down 55–120ms rather than an instant down/up
This is about reliability as much as appearance. Plenty of web controls only arm
once they have actually been hovered — dropdowns, tooltip-gated buttons, custom
widgets — and a cursor that arrives and presses in the same tick can outrun the
page's own mousemove handlers. The dwell is what lets those catch up.
Note pyautogui.PAUSE is set to 0 on import: it otherwise sleeps 0.1s after
every call, which would add tens of seconds across a stepped path.
Exit codes: 0 ok, 1 error, 2 capture switch off, 3 refused to click
(covered element, or coordinates off-screen).
Safety
- Failsafe: slam the cursor into a screen corner to abort mid-run.
- Covered elements: before reporting, the extension checks
document.elementFromPoint()at the target centre. If a cookie banner or modal is on top, the click is refused rather than sent into the overlay —--forceoverrides. - Off-screen check: coordinates outside the display bounds are refused, which catches a Chrome window on a second monitor or partly off the edge.
- The element is scrolled to the centre of the viewport before measuring, so a target below the fold is handled rather than mis-clicked.
Known limits
- Latency is bounded by the extension's poll interval (default 3s), so a click takes a few seconds to fire. Drop the interval in the extension popup if that matters.
- Multi-monitor: coordinates come from
window.screenX/screenY, which are relative to the primary display's origin. A Chrome window on a secondary monitor usually still works, but verify withlocatebefore trustingclick. - Display scaling: the scale factor is inferred by comparing the screen width
the OS reports against the one the browser reports. On macOS and unscaled Windows
this is 1:1. If clicks land at a consistent offset, set
--scaleexplicitly. - The measurement and the click are separate moments. If the page moves the element in between (a re-render, a late-loading banner), the click lands where it was.