# Recover lost backlinks with DataForSEO and OpenAI: n8n workflow

> Started by a clock, and works across Google Sheets, Slack and n8n data table. It hands the judgement calls to OpenAI.

Source: https://millionrounds.com/workflow/recover-lost-backlinks-with-dataforseo-and-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Chat assistants](https://millionrounds.com/workflows?category=Chat+assistants#library)

# Recover lost backlinks with DataForSEO and OpenAI

Started by a clock, and works across Google Sheets, Slack and n8n data table. It hands the judgement calls to OpenAI. 22 steps, 1 branch: large, and worth reading before you trust it with anything live.

Large Calls a model: OpenAI

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Frecover-lost-backlinks-with-dataforseo-and-openai)

**22 steps** Large: read it before trusting it with anything live

**1** Branch: places the flow splits

**0** Loops or waits

**3** Services it connects to

## The flow

Starts it 3 Model 2 Logic 9 Service 8

The steps in the order they run, from what starts it.

- 1 **Every Monday Morning** Schedule trigger *Starts it*
- 2 **Or Run It Now** Manual trigger *Starts it*
- 3 **Model** Lm Chat Open Ai *Model*
- 4 **If The Run Fails** Error trigger *Starts it*
- 5 **Settings** Set *Logic*
- 6 **Write The Outreach Angles** Chain Llm *Model*
- 7 **Say It Broke** Slack *Service*
- 8 **Ask What We Lost** Http Request *Service*
- 9 **Build The Report** Code *Logic*
- 10 **Read The Lost Links** Code *Logic*
- 11 **One Row Per Link** Split Out *Logic*
- 12 **Rows For The Watch List** Code *Logic*
- 13 **Send The Digest** Slack *Service*
- 14 **Read What We Reported** Data Table *Service*
- 15 **Log The Losses** Google Sheets *Service*
- 16 **Save What We Reported** Data Table *Service*
- 17 **Drop The Ones We Sent** Code *Logic*
- 18 **Anything New To Work?** If *Logic*
- 19 **One Link Per Loss** Split Out *Logic*
- 20 **Nothing New To Chase** Slack *Service*
- 21 **Is Your Page Still There?** Http Request *Service*
- 22 **Sort Into Recovery Buckets** Code *Logic*

## How it's built

- **Starts on:** A clock
- **Steps:** 22, with 1 branch
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Google Sheets, Slack, n8n data table
- **Model:** OpenAI

## Questions

What does it need to run?

An n8n account, plus your own Google Sheets and Slack accounts, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on a clock.

Does it use AI?

Yes. It calls OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 22 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 22 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Frecover-lost-backlinks-with-dataforseo-and-openai)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Connects to

Each opens the other workflows that use it.

[Google Sheets](https://millionrounds.com/workflows?service=Google+Sheets#library)[Slack](https://millionrounds.com/workflows?service=Slack#library)[n8n data table](https://millionrounds.com/workflows?service=n8n+data+table#library)

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Also chat assistants, with the same services where possible, closest in size first.

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