Backlinks APIs give you something every SEO and agency dreams about but rarely has: a trustworthy, always-on view of who’s linking to you and your competitors. Instead of scraping or guessing, you tap into billion-scale link indexes that recrawl the web every minute, track new and lost links, and expose anchor text, authority, spam signals, and referring IPs. That data is the foundation for smarter outreach, technical fixes, and client reporting.
When an AI computer agent runs these API calls for you, it stops being a once-a-month chore and becomes a daily rhythm. The agent can query multiple providers, normalize metrics, push them into Google Sheets or Excel, flag toxic links, and prepare reports while you sleep—so you wake up to ready-to-use backlink intelligence, not raw JSON dumps.
If you run an agency, SaaS, or content-heavy business, you’ve probably lived this scene: it’s 11 p.m., you’re still exporting CSVs from a backlinks tool, cleaning columns, and pasting numbers into client decks. The work matters, but the clicks are mind-numbing.
Backlinks APIs plus an AI computer agent flip that script. Let’s walk through the best ways to work with backlinks APIs—from fully manual to fully automated—so you can decide what belongs to you, and what you should hand off to an agent.
When to use it: Small sites, experiments, or when you’re learning how a specific backlinks API behaves.
Step-by-step:
backlinks or backlinks_overview endpoint with your domain, filters, and export columns. Confirm you get JSON or CSV with URLs, anchors, authority metrics, and first/last seen dates.=IMPORTDATA("https://your-file.csv") to keep it lightly updated.Pros:
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When to use it: You’re tracking several domains or clients and want basic automation without code.
Idea: Use Make, Zapier, or n8n to call the backlinks API on a schedule, then push cleaned data into Google Sheets or Excel (via OneDrive/SharePoint).
Example workflow:
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When to use it: You’re managing many domains, competitors, or campaigns and need a system that behaves like a teammate, not just a scheduled script.
This is where a Simular AI computer agent shines. Instead of wiring one brittle automation per task, you teach an agent how you want backlinks handled, and it executes the entire workflow across apps and UIs like a human.
What the agent can do for backlinks:
A typical AI-agent workflow:
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The pattern is simple: you keep the thinking, the AI agent keeps the clicking. Backlinks APIs supply the raw power, Google Sheets and Excel surface the story, and the agent stitches it all together while you work on moves that actually move revenue.
First, get your API key and base URL from the backlink provider. In Google Sheets, install an HTTP-capable add-on or use Apps Script to call the endpoint with your domain. Parse the JSON response, map each field to columns (source URL, target URL, anchor, authority, status), and write rows into a dedicated tab. Protect header rows and test on a single domain before scaling.
Use Excel’s Power Query. Go to Data → Get Data → From Web (or From Other Sources) and paste a URL that includes your backlinks API endpoint and query parameters. Add your API key via headers if needed. Power Query will load the JSON; expand records into columns, filter out noise, then load to a table. Refresh manually or on open to keep backlink metrics current.
Choose the provider’s new/lost backlinks or history endpoint. Build a query for each domain specifying a date range (e.g., last 7 days). Store the last run date in Sheets or Excel so you only pull incremental data. Append new rows with a “status” column set to NEW or LOST. Use conditional formatting or pivot tables to highlight important referring domains and sudden drops.
After importing backlinks into Sheets or Excel, remove duplicates by source URL + target URL. Filter out spammy TLDs or countries, and exclude sitewide links if they skew counts. Normalize anchors (lowercase, trim) and group branded vs money terms. Create helper columns for domain-level metrics so you can pivot by referring domain. This makes it easier to prioritize outreach and disavow decisions.
An AI computer agent can follow your exact reporting routine: log into backlink tools, request exports or call APIs, download files, normalize columns, and then update Google Sheets or Excel dashboards. You define the schedule and rules, like flagging toxic domains or authority thresholds. The agent runs these steps reliably, logs every action, and frees you to focus on strategy and client communication instead of repetitive clicks.