只能发简单请求,无法直接解析需要执行 JS 的 ajax 页面,需改用无头浏览器或直接请求 ajax 接口;库本身不含爬取逻辑,多页抓取需自行用 Promise 遍历 URL;解析本地文件需自己用 fs.readFile 读入再调用 scrapeHTML

npm install --save scrape-itREADME 未说明,纯 Node.js 库,无 GPU 或显存要求
用声明式选择器配置从网页抓取结构化数据的 Node.js 爬虫库
一个面向人类的 Node.js 网页抓取库,用简洁的链式配置从 HTML 中提取结构化数据,省去手写选择器解析的麻烦。
核心能力
- 用 JSON 选择器 schema 声明要抓的字段
- 支持 listItem 抓取列表并嵌套子列表
- 可按属性取值、用 convert 转换值
- 提供 scrapeHTML 解析本地或已有 HTML
- 返回 Promise 并附带 Cheerio 实例
容易踩的坑
- 6.1.15最新正式版2026-09-20 · 2026-09-20 07:34 UTC
Fix docs
- 6.1.142026-07-07 · 2026-07-07 14:03 UTC
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Add new sponsor
- 6.1.132026-06-29 · 2026-06-29 05:27 UTC
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Documentation
- 6.1.122025-10-13 · 2025-10-13 13:54 UTC
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Remove typpy
- 6.1.112025-07-18 · 2025-07-18 15:22 UTC
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Upgrade dependencies
用户点评
登录用户的真实使用记录,可按版本和硬件筛选还没有人点评。第一个说出真实体验的人最有价值。
scrape-it
A Node.js scraper for humans.
:cloud: Installation
# Using npm
npm install --save scrape-it
# Using yarn
yarn add scrape-it
:bulb: ProTip: You can install the cli version of this module by running npm install --global scrape-it-cli (or yarn global add scrape-it-cli).
FAQ
Here are some frequent questions and their answers.
1. How to parse scrape pages?
scrape-it has only a simple request module for making requests. That means you cannot directly parse ajax pages with it, but in general you will have those scenarios:
- The ajax response is in JSON format. In this case, you can make the request directly, without needing a scraping library.
- The ajax response gives you HTML back. Instead of calling the main website (e.g. example.com), pass to
scrape-itthe ajax url (e.g.example.com/api/that-endpoint) and you will you will be able to parse the response - The ajax request is so complicated that you don't want to reverse-engineer it. In this case, use a headless browser (e.g. Google Chrome, Electron, PhantomJS) to load the content and then use the
.scrapeHTMLmethod from scrape it once you get the HTML loaded on the page.
2. Crawling
There is no fancy way to crawl pages with scrape-it. For simple scenarios, you can parse the list of urls from the initial page and then, using Promises, parse each page. Also, you can use a different crawler to download the website and then use the .scrapeHTML method to scrape the local files.
3. Local files
Use the .scrapeHTML to parse the HTML read from the local files using fs.readFile.
:clipboard: Example
const scrapeIt = require("scrape-it")
// Promise interface
scrapeIt("https://ionicabizau.net", {
title: ".header h1"
, desc: ".header h2"
, avatar: {
selector: ".header img"
, attr: "src"
}
}).then(({ data, status }) => {
console.log(`Status Code: ${status}`)
console.log(data)
});
// Async-Await
(async () => {
const { data } = await scrapeIt("https://ionicabizau.net", {
// Fetch the articles
articles: {
listItem: ".article"
, data: {
// Get the article date and convert it into a Date object
createdAt: {
selector: ".date"
, convert: x => new Date(x)
}
// Get the title
, title: "a.article-title"
// Nested list
, tags: {
listItem: ".tags > span"
}
// Get the content
, content: {
selector: ".article-content"
, how: "html"
}
// Get attribute value of root listItem by omitting the selector
, classes: {
attr: "class"
}
}
}
// Fetch the blog pages
, pages: {
listItem: "li.page"
, name: "pages"
, data: {
title: "a"
, url: {
selector: "a"
, attr: "href"
}
}
}
// Fetch some other data from the page
, title: ".header h1"
, desc: ".header h2"
, avatar: {
selector: ".header img"
, attr: "src"
}
})
console.log(data)
// { articles:
// [ { createdAt: Mon Mar 14 2016 00:00:00 GMT+0200 (EET),
// title: 'Pi Day, Raspberry Pi and Command Line',
// tags: [Object],
// content: '<p>Everyone knows (or should know)...a" alt=""></p>\n',
// classes: [Object] },
// { createdAt: Thu Feb 18 2016 00:00:00 GMT+0200 (EET),
// title: 'How I ported Memory Blocks to modern web',
// tags: [Object],
// content: '<p>Playing computer games is a lot of fun. ...',
// classes: [Object] },
// { createdAt: Mon Nov 02 2015 00:00:00 GMT+0200 (EET),
// title: 'How to convert JSON to Markdown using json2md',
// tags: [Object],
// content: '<p>I love and ...',
// classes: [Object] } ],
// pages:
// [ { title: 'Blog', url: '/' },
// { title: 'About', url: '/about' },
// { title: 'FAQ', url: '/faq' },
// { title: 'Training', url: '/training' },
// { title: 'Contact', url: '/contact' } ],
// title: 'Ionică Bizău',
// desc: 'Web Developer, Linux geek and Musician',
// avatar: '/images/logo.png' }
})()
:memo: Documentation
scrapeIt(url, opts, cb)
A scraping module for humans.
Params
- String|Object
url: The page url or request options. - Object
opts: The options passed toscrapeHTMLmethod. - Function
cb: The callback function.
Return
- Promise A promise object resolving with:
data(Object): The scraped data.$(Function): The Cheeerio function. This may be handy to do some other manipulation on the DOM, if needed.response(Object): The response object.body(String): The raw body as a string.
scrapeIt.scrapeHTML($, opts)
Scrapes the data in the provided element.
For the format of the selector, please refer to the Selectors section of the Cheerio library
Params
-
Cheerio
$: The input element. -
Object
opts: An object containing the scraping information. If you want to scrape a list, you have to use thelistItemselector:listItem(String): The list item selector.data(Object): The fields to include in the list objects:<fieldName>(Object|String): The selector or an object containing:selector(String): The selector.convert(Function): An optional function to change the value.how(Function|String): A function or function name to access the value.attr(String): If provided, the value will be taken based on the attribute name.trimValue(Boolean): Iffalse, the value will not be trimmed (default:true).closest(String): If provided, returns the first ancestor of the given element.eq(Number): If provided, it will select the nth element.texteq(Number): If provided, it will select the nth direct text child. Deep text child selection is not possible yet. Overwrites thehowkey.listItem(Object): An object, keeping the recursive schema of thelistItemobject. This can be used to create nested lists.
Example:
{ articles: { listItem: ".article" , data: { createdAt: { selector: ".date" , convert: x => new Date(x) } , title: "a.article-title" , tags: { listItem: ".tags > span" } , content: { selector: ".article-content" , how: "html" } , traverseOtherNode: { selector: ".upperNode" , closest: "div" , convert: x => x.length } } } }If you want to collect specific data from the page, just use the same schema used for the
datafield.Example:
{ title: ".header h1" , desc: ".header h2" , avatar: { selector: ".header img" , attr: "src" } }
Return
- Object The scraped data.
:question: Get Help
There are few ways to get help:
- Please post questions on Stack Overflow. You can open issues with questions, as long you add a link to your Stack Overflow question.
- For bug reports and feature requests, open issues. :bug:
- For direct and quick help, you can use Codementor. :rocket:
:yum: How to contribute
Have an idea? Found a bug? See how to contribute.
:sparkling_heart: Support my projects
I open-source almost everything I can, and I try to reply to everyone needing help using these projects. Obviously, this takes time. You can integrate and use these projects in your applications for free! You can even change the source code and redistribute (even resell it).
However, if you get some profit from this or just want to encourage me to continue creating stuff, there are few ways you can do it:
-
Starring and sharing the projects you like :rocket:
-
—I love books! I will remember you after years if you buy me one. :grin: :book:
-
—You can make one-time donations via PayPal. I'll probably buy a
coffeetea. :tea: -
—Set up a recurring monthly donation and you will get interesting news about what I'm doing (things that I don't share with everyone).
-
Bitcoin—You can send me bitcoins at this address (or scanning the code below):
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Thanks! :heart:


