Google Sheets + RapidAPI: enriched LinkedIn leads
You start with a list of LinkedIn profile URLs. Then the “quick research” begins. Copy a name, grab a title, find a company, paste it into your sheet, realize you missed a field, go back again.
This LinkedIn lead enrichment automation hits sales reps and recruiters hardest, because speed matters. A marketing ops person feels it too, because messy lists break downstream campaigns. The outcome is simple: your Google Sheet fills itself with richer lead data, without reprocessing profiles you already enriched.
Below, you’ll see how the workflow works, what you need to run it, and what results to expect once it’s in place.
How This Automation Works
Here’s the complete workflow you’ll be setting up:
n8n Workflow Template: Google Sheets + RapidAPI: enriched LinkedIn leads
flowchart LR
subgraph sg0["When clicking ‘Test workflow’ Flow"]
direction LR
n0@{ icon: "mdi:play-circle", form: "rounded", label: "When clicking ‘Test workflow’", pos: "b", h: 48 }
n1["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/httprequest.dark.svg' width='40' height='40' /></div><br/>Call Rapid API"]
n2@{ icon: "mdi:swap-horizontal", form: "rounded", label: "Filter already enriched", pos: "b", h: 48 }
n3@{ icon: "mdi:swap-vertical", form: "rounded", label: "Encode URI", pos: "b", h: 48 }
n4["<div style='background:#f5f5f5;padding:10px;border-radius:8px;display:inline-block;border:1px solid #e0e0e0'><img src='https://flowpast.com/wp-content/uploads/n8n-workflow-icons/code.svg' width='40' height='40' /></div><br/>FiIter out all arrays"]
n5@{ icon: "mdi:database", form: "rounded", label: "Update the profile", pos: "b", h: 48 }
n6@{ icon: "mdi:database", form: "rounded", label: "Pull linkedin profiles", pos: "b", h: 48 }
n3 --> n1
n1 --> n4
n4 --> n5
n6 --> n2
n2 --> n3
n0 --> n6
end
%% Styling
classDef trigger fill:#e8f5e9,stroke:#388e3c,stroke-width:2px
classDef ai fill:#e3f2fd,stroke:#1976d2,stroke-width:2px
classDef aiModel fill:#e8eaf6,stroke:#3f51b5,stroke-width:2px
classDef decision fill:#fff8e1,stroke:#f9a825,stroke-width:2px
classDef database fill:#fce4ec,stroke:#c2185b,stroke-width:2px
classDef api fill:#fff3e0,stroke:#e65100,stroke-width:2px
classDef code fill:#f3e5f5,stroke:#7b1fa2,stroke-width:2px
classDef disabled stroke-dasharray: 5 5,opacity: 0.5
class n0 trigger
class n2 decision
class n5,n6 database
class n1 api
class n4 code
classDef customIcon fill:none,stroke:none
class n1,n4 customIcon
Why This Matters: Clean lead data without the busywork
LinkedIn research looks easy until you do it at scale. You open ten profiles, grab what you can, and suddenly you’ve burned most of an hour and your sheet still looks patchy. It’s also surprisingly error-prone. One wrong paste, one shifted column, one profile you enrich twice, and your list becomes unreliable for outreach or reporting. The worst part is the mental load: you can’t stay “in flow” because you’re bouncing between tabs, checking what you already filled, and second-guessing your own data.
It adds up fast. Here’s where it usually breaks down in real life.
- You end up enriching the same LinkedIn profile more than once because there is no clear “done” signal in the sheet.
- Copy-paste work creates small formatting issues that turn into bigger problems when you later filter, segment, or dedupe.
- When you’re moving quickly, it’s easy to miss fields, which means you need a second pass before outreach even starts.
- Your best people spend about 2 hours a week doing work a workflow can handle consistently.
What You’ll Build: LinkedIn profile enrichment into Google Sheets
This workflow turns a simple input list into a more complete lead table. You keep using Google Sheets as the “source of truth,” starting with one required column: linkedin_url. When you run the workflow, n8n reads those URLs, checks which ones were already enriched, and only processes the profiles that still need work. Then it calls RapidAPI’s Fresh LinkedIn Profile Data API to fetch useful profile details. Finally, the workflow writes the enriched data back into your sheet so each row becomes outreach-ready instead of “research-in-progress.”
The flow starts in Google Sheets, moves through a validation step (so you don’t waste API calls), and then uses an HTTP request to pull profile data from RapidAPI. At the end, your sheet is updated with new columns or mapped fields, and your list is cleaner for the next step in your pipeline.
What You’re Building
| What Gets Automated | What You’ll Achieve |
|---|---|
|
|
Expected Results
Say you add 50 LinkedIn URLs to a sheet each week. Manually, even a careful person spends maybe 5 minutes per profile collecting and pasting key details, which is about 4 hours. With this workflow, you trigger the run, let RapidAPI fetch the data, and then spend about 15 minutes scanning for obvious gaps or edge cases. You get most of that time back, and your sheet doesn’t slowly turn into a Frankenstein spreadsheet.
Before You Start
- n8n instance (try n8n Cloud free)
- Self-hosting option if you prefer (Hostinger works well)
- Google Sheets for storing LinkedIn URLs and results
- RapidAPI to fetch Fresh LinkedIn profile data
- RapidAPI key (get it from your RapidAPI dashboard)
Skill level: Beginner. You’ll connect accounts, paste an API key, and map a few fields.
Want someone to build this for you? Talk to an automation expert (free 15-minute consultation).
Step by Step
You trigger the run. This workflow is designed to start manually, which is useful when you want control over when enrichment happens (for example, after you paste in a new batch of URLs).
Your sheet becomes the input queue. n8n reads rows from Google Sheets and looks for the linkedin_url value. A filter checks for signals that a row was already enriched so you don’t waste time or API calls repeating the same work.
RapidAPI enriches each profile. The workflow processes the remaining URLs in batches and sends an HTTP request to RapidAPI’s Fresh LinkedIn Profile Data endpoint. The response is structured data, which makes it much easier to store consistently than copy-pasting from a browser tab.
The sheet gets updated (and HubSpot can too). After the data comes back, n8n merges it into the right row and writes the new fields into Google Sheets. If you want, you can also push cleaned lead data into HubSpot so your CRM stays aligned with your prospecting list.
You can easily modify which fields get written to Sheets, or route “high fit” profiles into HubSpot while keeping everything else in a review tab. See the full implementation guide below for customization options.
Troubleshooting Tips
- Google Sheets credentials can expire or need specific permissions. If things break, check the connected Google account in n8n’s Credentials page first.
- If you’re using Wait nodes or external rendering, processing times vary. Bump up the wait duration if downstream nodes fail on empty responses.
- RapidAPI calls can fail due to rate limits or a wrong host header. Confirm your x-rapidapi-key and x-rapidapi-host values match the API page you subscribed to.
Quick Answers
About 30 minutes if your Sheet and RapidAPI account are ready.
No. You’ll connect Google Sheets and paste your RapidAPI key into the HTTP request configuration.
Yes. n8n has a free self-hosted option and a free trial on n8n Cloud. Cloud plans start at $20/month for higher volume. You’ll also need to factor in RapidAPI subscription costs for the LinkedIn enrichment endpoint.
Two options: n8n Cloud (managed, easiest setup) or self-hosting on a VPS. For self-hosting, Hostinger VPS is affordable and handles n8n well. Self-hosting gives you unlimited executions but requires basic server management.
Yes, and you probably should. You can change the “already enriched” check in the If node to match your sheet (for example, only process rows where a “status” column is blank). You can also adjust the HTTP Request node to fetch different fields, then remap the Edit Fields (Set) step to write the exact columns you care about. Common tweaks include enriching only new rows, writing results to a separate “Enriched” tab, or sending qualified leads into HubSpot.
Usually it’s a bad or expired x-rapidapi-key, or you’re using the wrong x-rapidapi-host for the endpoint you subscribed to. It can also be rate limiting if you run big batches, so spacing requests out with split batches helps. If the API returns partial data, that’s not always a workflow bug; some profiles simply expose less information.
If you self-host n8n, executions aren’t capped, but your RapidAPI plan and server resources will still be the real limit.
Often, yes, because this is not just a simple “A to B” zap. You’re checking for duplicates, looping through rows in batches, merging responses back into the right records, and controlling what gets written where. n8n handles that kind of logic cleanly, and self-hosting can be a big deal if you plan to enrich lots of profiles. Zapier or Make can still work if your volume is small and you want the simplest UI. If you’re torn, Talk to an automation expert and get a quick recommendation based on your list size and workflow goals.
Once this is running, your Google Sheet stops being a to-do list and starts being a real lead asset. Set it up once, then spend your time on outreach and conversations instead of tabs and copy-paste.
Need Help Setting This Up?
Our automation experts can build and customize this workflow for your specific needs. Free 15-minute consultation—no commitment required.
