{"product_id":"extract-xiaohongshu-comments-to-csv-via-apify-unitbytes-n8n","title":"Extract Xiaohongshu Comments to CSV via Apify UnitBytes (n8n)","description":"\u003ch3\u003eExtract Xiaohongshu (RedNote) note comments and export them to CSV—fully automated in n8n\u003c\/h3\u003e\n\u003cp\u003eThis n8n workflow scrapes Xiaohongshu (RedNote) comments daily using the \u003cstrong\u003eApify UnitBytes\u003c\/strong\u003e actor, normalizes key fields, and exports the results as a downloadable CSV (ideal for Google Sheets and data analysis).\u003c\/p\u003e\n\n\u003ch3\u003eWhat this workflow does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eRuns every 24 hours\u003c\/strong\u003e via a schedule trigger.\u003c\/li\u003e\n  \u003cli\u003eUses a \u003cstrong\u003eSet\u003c\/strong\u003e step to configure your \u003cstrong\u003eApify API token\u003c\/strong\u003e and the \u003cstrong\u003eUnitBytes xiaohongshu-rednote-comments-scraper\u003c\/strong\u003e input (including \u003cem\u003estart URLs\u003c\/em\u003e, comment limits, and proxy settings).\u003c\/li\u003e\n  \u003cli\u003eCalls Apify through the \u003cstrong\u003erun-sync-get-dataset-items\u003c\/strong\u003e approach to retrieve extracted comments as \u003cstrong\u003eJSON\u003c\/strong\u003e.\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNormalizes each dataset item\u003c\/strong\u003e into a flat structure, including fields such as:\n    \u003cul\u003e\n      \u003cli\u003e\n\u003cstrong\u003eid\u003c\/strong\u003e, \u003cstrong\u003enoteId\u003c\/strong\u003e, \u003cstrong\u003enoteUrl\u003c\/strong\u003e\n\u003c\/li\u003e\n      \u003cli\u003e\n\u003cstrong\u003econtent\u003c\/strong\u003e, \u003cstrong\u003elikeCount\u003c\/strong\u003e, \u003cstrong\u003esubCommentCount\u003c\/strong\u003e\n\u003c\/li\u003e\n    \u003c\/ul\u003e\n  \u003c\/li\u003e\n  \u003cli\u003eConverts normalized results into a CSV file named \u003cstrong\u003exiaohongshu-comments-scraper-dataset-export.csv\u003c\/strong\u003e.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eMonitor \u003cstrong\u003eXiaohongshu note engagement\u003c\/strong\u003e over time with repeatable daily comment exports.\u003c\/li\u003e\n  \u003cli\u003eFeed comment data into \u003cstrong\u003eGoogle Sheets\u003c\/strong\u003e or another analytics workflow for reporting and trend tracking.\u003c\/li\u003e\n  \u003cli\u003eSupport SaaS operations by consolidating social feedback into structured datasets for downstream processing.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003e\n\u003cstrong\u003eSchedule trigger\u003c\/strong\u003e: runs the workflow every 24 hours\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eNodes used\u003c\/strong\u003e: set, sticky note, http request, convert to file, schedule trigger\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eExternal integration\u003c\/strong\u003e: \u003cstrong\u003eApify\u003c\/strong\u003e with the UnitBytes actor \u003cstrong\u003exiaohongshu-rednote-comments-scraper\u003c\/strong\u003e\n\u003c\/li\u003e\n  \u003cli\u003e\n\u003cstrong\u003eOutput\u003c\/strong\u003e: CSV export (\u003cem\u003exiaohongshu-comments-scraper-dataset-export.csv\u003c\/em\u003e)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eTo customize targets, update the actor input JSON with your Xiaohongshu URLs and desired limits (e.g., \u003cem\u003emaxCommentsPerNote\u003c\/em\u003e). If you want to store results elsewhere, add a destination node (for example, Google Sheets append rows) after normalization.\u003c\/p\u003e","brand":"N8N Commerce","offers":[{"title":"Default Title","offer_id":46236463038643,"sku":"N8N-21008","price":24.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0749\/6279\/6723\/files\/PMeKnEFrKZprA-ToEwy_i_JWX84wEb.png?v=1792227884","url":"https:\/\/buyflowscripts.com\/products\/extract-xiaohongshu-comments-to-csv-via-apify-unitbytes-n8n","provider":"N8N Commerce","version":"1.0","type":"link"}