Archive trending TikTok hashtags using TikTok, Airtable, and Apify
UnknownWhat this workflow does
This workflow has 5 nodes and runs on a schedule (every month). Along the way it connects Airtable and Apify (community).
How it runs
Trigger: On a schedule (every month).
- 1. Run TikTok Hashtag Scraper (Apify): run actor (actors)
- 2. Get Scraped Hashtag Data (Apify): get items (datasets)
- 3. Split Hashtags into Items (Split Out): splits a list into separate items
- 4. Save Hashtag to Airtable (Airtable): create
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that n8n-nodes-apify is verified or supports 3.0 (used in 1. Run TikTok Hashtag Scraper, 2. Get Scraped Hashtag Data).
Nodes used (4)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Apify
n8n-nodes-apify.apify - Split Out
n8n-nodes-base.splitOut - Airtable
n8n-nodes-base.airtable
From the author
Quick overview This template uses a community node (@apify/n8n-nodes-apify). It will not work without the required node installed. How it works 1. A monthly schedule trigger runs the workflow automatically without any manual intervention required. 2. An Apify…