See llms.txt for all machine-readable content.

Back to Templates

Extract 1688.com product data to CSV with UnitBytes and Apify

Created by

Created by: unitbytes || unitbytes
unitbytes

Last update

Last update 6 hours ago

Categories

Share

Quick overview

This workflow runs daily to scrape 1688.com wholesale listings with the UnitBytes 1688 Scraper on Apify, normalizes key fields from the results, and exports the extracted items to a CSV file for easy import into tools like Google Sheets or Airtable.

How it works

  1. Runs every 24 hours on a schedule.
  2. Sets the Apify API token and the actor input (search queries, max items, detail level, and proxy settings).
  3. Calls the UnitBytes 1688 Scraper actor on Apify via its run-sync endpoint to fetch scraped dataset items as JSON.
  4. Normalizes each returned record into a flat set of fields (such as id, offerId, url, title, page, and position).
  5. Converts the normalized results into a CSV file named 1688-scraper-dataset-export.csv.

Setup

  1. Create an Apify account, get your Apify API token, and replace YOUR_APIFY_API_TOKEN in the input step.
  2. Update the actor input parameters (for example queries, maxItems, detailLevel, and proxyConfiguration) to match what you want to scrape.
  3. If you want the results in Google Sheets, Airtable, or another destination, add the corresponding n8n node after the CSV export and configure its credentials and target resource.

Requirements

  • YOUR_APIFY_API_TOKEN