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SEO agencies need keyword data fast, and manually crawling competitor pages is the kind of grunt work clients will pay to eliminate. This AI automation scrapes any website, strips the noise, and drops structured keyword lists directly into Airtable without a single copy-paste.
What This Automation Does
- Fetches raw website content from any URL submitted through a simple intake form
- Strips HTML tags, inline styles, and whitespace to produce clean, readable page text
- Uses OpenAI to extract topic-organised SEO keywords from the cleaned content
- Stores the website name, cleaned text, and keyword list in Airtable with a status field for workflow tracking
Tools Used
- n8n
- OpenAI
- Airtable
Where to Get Hired for This Skill
On Contra, top freelancers across this stack have earned 221 combined verified reviews from real client projects.
Source: Contra freelancer search · refreshed 26 May 2026
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Join Contra Free →How To Build It
Build the URL intake form
Create a simple form that accepts a website URL from whoever is submitting research requests, so the automation has a clean input to act on each time it runs.
Fetch and clean raw page content
Pull the full HTML from the submitted URL and run it through a cleaning script that removes tags, styles, scripts, and excessive whitespace, leaving only the readable text content.
Configure OpenAI to extract keyword topics
Send the cleaned page text to OpenAI with a prompt that instructs it to return a structured, topic-organised list of SEO keywords drawn from the content rather than generated from general knowledge.
Split and format keyword output
Break the OpenAI response into individual records so each keyword or keyword group can be handled separately, making the Airtable output scannable and ready for client delivery.
Push structured results into Airtable
Write each record to Airtable with the website name, cleaned content, extracted keywords, and a status value of Done, giving clients or internal teams a ready-to-use research database.
Pitfalls
- Many sites block automated HTTP requests with bot-detection or return JavaScript-rendered pages that contain no readable text, causing the cleaner to output near-empty content and the keyword extraction to fail silently.
- OpenAI token limits become a hard constraint on long-form pages, so content-heavy sites like news articles or documentation hubs will need chunking logic or the prompt will be cut off mid-page.
- Airtable API rate limits will throttle bulk runs when processing multiple URLs back-to-back, and without retry or wait logic built in, records will simply fail to write without any visible error surfacing to the client.
FAQ
Can I build this without coding?
Mostly yes. The HTML cleaning step requires a small script to strip tags and whitespace, but that code is straightforward and can be copied from documentation without needing a programming background. Everything else is configuration.
How long does it take?
Most freelancers get a working version running within two to four hours on a first build. Adding polish like error handling, multi-URL batch input, or a client-facing form can take another half day.
What can I charge?
Packaging this as a monthly SEO keyword research retainer or a one-time competitor content audit positions the deliverable as a structured Airtable database, not just a report, which supports service pricing rather than hourly billing.
Which tool is required vs optional?
OpenAI is required for the keyword extraction step. Airtable is the default output destination but could be replaced with Google Sheets or Notion if a client already uses a different tool for their research workflow.
This is original DigiNo analysis. The underlying automation pattern is a community workflow template – view the original on n8n.
Get Job Alerts
One email when a teaching platform opens hiring or a new AI training project drops. No weekly filler.
Job alerts
Get Job Alerts
One email when a platform on this site starts hiring, checked by hand. No spam, leave any time.
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