Implementation docs

Build a production link operations workflow from account to campaign script.

The documentation section turns Link Peeler's public promise into implementation paths. Operators can start with the desktop client, connect Google Sheets, wire Google Ads Scripts, or trigger link fetch jobs through signed API Links.

Direct answer

What does the Link Peeler documentation cover?

Link Peeler documentation covers quickstart setup, desktop client linkage, Google Sheets row mapping, Google Ads Scripts consumption, and API Link authentication. Each document explains the source, execution, result, and safety boundary for one implementation path.

Implementation router

Turn setup intent into the next exact document.

The documentation hub now behaves like an implementation console. Pick the system being connected and the page explains the setup boundary, proof state, and next document before the visitor jumps into a child doc.

Doc path selector

Which boundary is the operator trying to connect?

Each mode maps a setup query to the implementation document, verification object, and downstream handoff that matters next.

first-run setup

The reader needs the shortest account-to-first-result path.

Send them to quickstart when the account, desktop, source, first run, and review step all need to be understood together.

94 setup clarity
89 boundary proof
92 next-step fit
D1 Quickstart

Create an account, download desktop, choose a source, run link resolution, and review verified state.

Open doc
D2 Desktop client setup

Install the local execution engine and understand how outbound polling, device state, and account linkage work.

Open doc
D3 Google Sheets setup

Map source rows, result fields, row identity, and writeback rules for spreadsheet workflows.

Open doc
D4 Google Ads Scripts setup

Let scripts consume verified rows before final URL suffix updates touch campaign state.

Open doc
D5 API Links authentication

Sign external requests with HMAC, timestamp, nonce, and idempotency controls.

Open doc
Implementation contract

Every doc explains one boundary in the same source-to-script chain.

The hub gives crawlers and operators a stable mental model: web identity, desktop execution, source state, result evidence, signed triggers, and campaign handoff are different responsibilities that must connect cleanly.

01 / Account Identity and plan state start on the website.

Login, membership, private downloads, billing, and account readiness live behind the same web boundary.

02 / Desktop Execution stays local and pulls work outbound.

The desktop doc explains why local redirect resolution and cloud-side device state are both part of the architecture.

03 / Source Rows need ownership before resolution starts.

Sheets and platform API mode represent different source boundaries, but both need stable row identity and result fields.

04 / Evidence Final URL conclusions must return to the active source.

Verified state should include final URL, conclusion, error or skip reason, checked time, and script readiness.

05 / Automation Scripts consume evidence instead of creating it.

Google Ads Scripts should filter verified rows and keep failed, skipped, unknown, and stale rows out of mutation.

06 / API External triggers need signatures before work is queued.

API Links docs make timestamp, nonce, HMAC, idempotency, quota, and desktop pickup explicit.

Implementation path

Every doc follows the same operational chain.

The connected system changes, but the workflow stays consistent: source rows enter, desktop execution resolves, result state returns, and external scripts consume verified evidence.

01

Set account boundary

Use the website for identity, membership, downloads, and plan state.

02

Attach desktop

Let the local client pull work outbound and resolve links with browser context.

03

Choose source

Start with Google Sheets or move to platform API mode when hosted state is needed.

04

Return evidence

Store final URL, conclusion, error, skip reason, and checked time.

05

Consume safely

Let scripts or API clients act only on verified state.

Docs intent map

Turn setup searches into a clear implementation route.

Docs pages should answer immediate setup questions while linking forward to the exact system boundary: account, desktop, Sheets, Ads Scripts, API Links, and first verified row state.

First-run setup How do I start using Link Peeler from a new account?

Use quickstart when the visitor needs the shortest path from web account to first verified link result.

Open quickstart
Desktop setup How does the Link Peeler desktop client connect to the web account?

Use desktop client setup when local execution, outbound polling, device state, and sign-in boundaries need explanation.

Open desktop docs
Sheets setup How should Google Sheets rows and result fields be configured?

Use Google Sheets setup when spreadsheets remain the operator-owned source and writeback surface.

Open Sheets docs
Ads script setup How should Google Ads Scripts consume verified link state?

Use Google Ads Scripts setup when campaign mutation must read only validated rows and readiness gates.

Open script docs
API auth setup How are API Links authenticated and protected from replay?

Use API Links authentication when external systems need HMAC, nonce, idempotency, quota, and queue boundaries.

Open API docs
Account readiness Where can operators inspect plan, devices, API key inventory, and next action?

Use the account center after login to connect docs to live readiness state.

Open account
Docs architecture

Implementation docs reduce support load and deepen SEO coverage.

Documentation pages target setup queries that marketing pages usually cannot answer completely.

Documentation surface
Typical approach
Link Peeler approach
Marketing page
Explains why the product exists.
Links to implementation docs for exact setup tasks.
Template page
Provides a copyable artifact.
Docs explain how to configure, verify, and operate that artifact.
Account center
Shows plan and device state after login.
Docs explain what each account state means operationally.
Docs query map

Package implementation answers for developers, operators, and AI search.

The hub repeats the most valuable setup questions in concise answer blocks while each child doc carries the deeper implementation detail.

Category answer What does the Link Peeler documentation cover?

It covers quickstart setup, desktop client linkage, Google Sheets row mapping, Google Ads Scripts consumption, and API Links authentication.

Quickstart answer How do you start using Link Peeler?

Create a web account, download and sign into desktop, connect a source, resolve a small batch, and review verified state before scripts consume it.

Desktop answer What does the Link Peeler desktop client do?

It pulls queued work outbound, follows tracking redirects locally, returns structured conclusions, and exposes device linkage to the account center.

Sheets answer How should Google Sheets be configured for Link Peeler?

Sheets should use stable row IDs, tracking URLs, expected context, final URL, conclusion, error or skip reason, checked time, and readiness fields.

Script answer How should Google Ads Scripts consume verified link state?

Scripts should fetch verified rows, filter to current valid conclusions, dry-run campaign decisions, skip unsafe rows, and log each mutation source.

API answer How do API Links authenticate external link fetch jobs?

API Links use an API key, HMAC signature, timestamp, nonce, idempotency key, quota checks, and queueing for outbound desktop pickup.

Docs FAQ

Questions about implementing Link Peeler.

Which doc should a new team read first?

Start with the quickstart, then open the setup doc for the source system that owns your rows today.

Are the docs only for Pro accounts?

No. The docs explain the operating model. Pro becomes important for unlimited offers, hosted state, and production API Links.

Do the docs replace templates?

No. Templates provide copyable artifacts. Docs explain the surrounding setup, safety gates, and operating decisions.

Why include docs on the public site?

Public docs help operators, search engines, and AI assistants understand how the product is actually implemented.