Juejin Scraper — Articles, Authors, Tags & Engagement Stats (掘金)

Scrape Juejin (掘金), China's largest developer-content community, into clean JSON, CSV, Excel or XML. This Juejin scraper extracts article titles, authors, views, likes, comments, collects, tags, categories, cover images and publish dates from the recommended, hot and newest feeds — no code and no setup required. A fast, reliable and cheap way to build a Chinese tech-content dataset.

Most people track Juejin trends by hand, tab by tab. This Actor turns the whole feed into a structured dataset in a single run, so you can analyze developer topics, creators and engagement at scale.

What does the Juejin Scraper do?

The Juejin Scraper crawls and extracts public Juejin article data from the recommended, hot or newest feed. Pick a feed and a limit, run it, and it returns structured data points — title, author, category, tags, views, likes, comments, collects, cover image and publish date — ready for analytics, trend research, LLM pipelines or creator intelligence.

What data can you scrape from Juejin?

Group	Fields
📝 Article	id, title, brief, category, tags, cover image, publish date, article URL
👤 Author	author name / handle
📊 Engagement	view count, likes (点赞), comment count, collects (bookmarks)
🔀 Feed	recommended, hot or newest selection
🕒 Meta	collected-at timestamp for every record

Use cases

• China dev-trend research — track which frameworks, languages and tools are trending across the Juejin community.
• Tech-content intelligence — monitor the hottest articles and topics by views, likes and collects.
• Creator analytics — see which authors publish the most-read and most-engaged content.
• Topic & keyword discovery — mine tags and categories to plan content or product positioning.
• Build a developer-article dataset — thousands of articles with metadata and engagement for analysis or ML.
• LLM & RAG pipelines — feed clean Chinese technical content into summarization, translation or knowledge bases.
• Competitive monitoring — watch a niche over time by re-running the newest and hot feeds.
• Market research — study engagement signals and audience interest in China's tech ecosystem.

How to scrape Juejin data

1. Click Try for free / Start to open the Juejin Scraper.
2. Choose the feed you want — recommended, hot or newest.
3. Set Max articles to control how many results you collect.
4. Click Run.
5. Download the results as JSON, CSV, Excel or XML, or pull them from the API.

Input

Choose a feed and a limit — that is all it takes to start.

{
  "sort": "hot",
  "maxItems": 200
}

Field	Type	Description
sort	string	Which feed to scrape: recommended, hot or newest (default recommended).
maxItems	integer	Maximum number of articles to scrape (default 100).

Scrape by feed

Set sort to recommended for the personalized front-page feed, hot for the most popular articles, or newest for the latest posts.

Control how many articles you get

Use maxItems to cap the run — collect a quick sample or scale up to a large dataset. You pay only per article you get.

Output

Each article is one dataset item:

{
  "id": "7637856870833635343",
  "title": "2026编程圈很火的10个Skills",
  "author": "苏三说技术",
  "category": "后端",
  "tags": ["AI", "后端"],
  "views": 13675,
  "likes": 74,
  "comments": 2,
  "collects": 120,
  "publishedAt": "2026-07-28T10:00:00.000Z",
  "coverImage": "https://p3-juejin.byteimg.com/...",
  "url": "https://juejin.cn/post/7637856870833635343",
  "collectedAt": "2026-07-30T12:00:00.000Z"
}

Output schema

Field	Type	Description
id	string	Unique Juejin article ID.
title	string	Article title.
author	string	Author name or handle.
category	string	Juejin category the article belongs to, e.g. 后端.
tags	array	Topic tags attached to the article.
views	integer	Total view count.
likes	integer	Total likes (点赞).
comments	integer	Number of comments.
collects	integer	Number of collects (bookmarks).
publishedAt	string (ISO date)	When the article was published.
coverImage	string (URL)	Cover image URL.
url	string (URL)	Canonical Juejin article URL.
collectedAt	string (ISO date)	When this record was collected.

Need more Chinese tech & community data?

Building a wider dataset of China's developer and tech scene? Pair the Juejin Scraper with our other scrapers:

• SSPai Scraper — SSPai (少数派) tech articles, authors and engagement.
• Guokr Scraper — Guokr (果壳) science and popular-tech articles.
• Bilibili Scraper — Bilibili videos, creators and view counts.
• V2EX Scraper — V2EX developer forum topics and replies.

FAQ

Do I need any setup or a login? No. There is no code and no setup — just pick a feed, set a limit and run.

How many articles can I scrape per run? As many as you like. Set maxItems to collect a small sample or scale up to a large dataset in one run.

Which feeds can I scrape? Recommended, hot and newest — choose one per run with the sort field.

What export formats are supported? JSON, CSV, Excel and XML, plus webhooks and the Apify API.

How does billing work? You pay only per article you get, which makes this one of the cheapest ways to build a Juejin dataset.

How fresh is the data? Every run pulls the current feed, so results reflect what is live on Juejin at run time. Each record includes a collectedAt timestamp.

Can I automate or integrate the Juejin Scraper? Yes. The Juejin Scraper can be connected with almost any cloud service or web app thanks to integrations on the Apify platform. It works with Make, Zapier, Slack, Airbyte, GitHub, Google Drive and many more, plus the Apify API, JavaScript/Python clients and MCP. Or use webhooks to trigger an action whenever a run finishes — get a notification, or kick off another process such as loading your data downstream.

Is scraping Juejin legal? The Actor collects only public data. You are responsible for how you use it and for complying with Juejin's terms and applicable laws.

Related Actors

• Bilibili Scraper — videos, creators and view counts.
• V2EX Scraper — developer forum topics and replies.
• Guokr Scraper — science and popular-tech articles.
• SSPai Scraper — tech articles and engagement stats.

Notes

Original clean-room implementation. Returns only public data; you are responsible for how you use the data and for complying with Juejin's terms. This is an independent tool and is not affiliated with or endorsed by Juejin / ByteDance.