Full pipeline scrape of a literary classic

Created by

StackRelay

Actor

Douban Reviews Scraper

Run the complete pipeline — subject info, comments, and full-text reviews with sentiment — on Yu Hua's To Live for book-club research.

Try for free

Douban Reviews Scraperstackrelay/douban-reviews-scraper

Record type

Subject type

Subject title

Title

+7 fields

Input

Douban subject / group URLs(required)

url:https://book.douban.com/subject/1484922/

Scrape subject info:true

Scrape short comments:true

Scrape long reviews:true

Tag sentiment:true

Output fields

Record type

Subject type

Subject title

Title

Author

Rating (stars)

Sentiment

Content

Reply count

Source URL

Scraped at

How it works

Sign up on Apify or log in

The Douban Reviews Scraper Actor is ready to run with the inputs already set for "Full pipeline scrape of a literary classic". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Full pipeline scrape of a literary classic" task

The Douban Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like douban subject / group urls, scrape subject info, and more, to match your specific use case.

Receive the "Full pipeline scrape of a literary classic" 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 record type, subject type, subject title, 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 "Full pipeline scrape of a literary classic" task via API.