Photos People Posted in Xiaohongshu Comments
Pull the full-size photos RedNote users attach to comments: unboxing shots, defect pictures and side-by-side comparisons, as image URLs.
Input
Output fields
Sign up on Apify or log in
The Xiaohongshu Comments Scraper - RedNote Nested Reply Threads Actor is ready to run with the inputs already set for "Photos People Posted in Xiaohongshu Comments". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Photos People Posted in Xiaohongshu Comments" task
The Xiaohongshu Comments Scraper - RedNote Nested Reply Threads Actor will start running based on the input automatically. You can also change all the input fields, like 🔗 note urls, share links or ids, 🔀 comment order, and more, to match your specific use case.
Receive the "Photos People Posted in Xiaohongshu Comments" output
Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as 🆔 comment id, 💬 comment text, ❤️ likes, and more.
Integrate into your workflow
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Photos People Posted in Xiaohongshu Comments" task via API.
Integrate "Photos People Posted in Xiaohongshu Comments" into your workflow
Connect "Photos People Posted in Xiaohongshu Comments" with 100+ integrations, or run it via API or MCP.
Webhook
n8n
Make
Zapier
Airbyte
Keboola
IFTTT
Hubspot
GDrive
Gmail
Apify MCP
GitHub
Slack
LangChain
LlamaIndex
Flowise
Pinecone
OpenAI
Mastra
Clay