Prompt API - Scraper - Node Package

@promptapi/scraper-pkg is a simple JavaScript wrapper for scraper-api.

Requirements

You need to signup for Prompt API
You need to subscribe scraper-api, test drive is free!!!
You need to set PROMPTAPI_TOKEN environment variable after subscription.

then;

$ npm install @promptapi/scraper-pkg

or, install from GitHub registry;

$ npm install @promptapi/scraper-pkg@0.1.6

Example Usage

Basic scrape feature:

const promptapi = require('@promptapi/scraper-pkg')
params = {}
promptapi.scraper('https://pypi.org/classifiers/', params).then(result => {
  if(result.error){
    console.log(result.error)
  } else {
    console.log(result.data); // your scraped data...
    console.log(result.headers);
    console.log(result.url);

    promptapi.save('/tmp/data.html', result.data) // save result
  }
})

Output:

// result.data
<!DOCTYPE html>
<html lang="en" dir="ltr">
  <head>
    <meta charset="utf-8">
    <meta http-equiv="X-UA-Compatible" content="IE=edge">
    <meta name="viewport" content="width=device-width, initial-scale=1">
    
    <meta name="defaultLanguage" content="en">
    <meta name="availableLanguages" content="en, es, fr, ja, pt_BR, uk, el, de, zh_Hans, ru, he">
:
:
:

// result.headers
{ 'Content-Length': '322126', ...

// result.url
https://pypi.org/classifiers/

/tmp/data.html saved successfully, written 322126 bytes

You can add url parameters for extra operations. Valid parameters are:

auth_password: for HTTP Realm auth password
auth_username: for HTTP Realm auth username
cookie: URL Encoded cookie header.
country: 2 character country code. If you wish to scrape from an IP address of a specific country.
referer: HTTP referer header
selector: CSS style selector path such as a.btn div li. If selector is enabled, returning result will be collection of data and saved file will be in .json format.

const promptapi = require('@promptapi/scraper-pkg')

params = {country: 'EE', selector: 'ul li button[data-clipboard-text]'}

promptapi.scraper('https://pypi.org/classifiers/', params).then(result => {
  if(result.error){
    console.log(result.error)
  } else {
    console.log(result.data); // your scraped data...
    console.log(result.headers);
    console.log(result.url);

    promptapi.save('/tmp/data.json', result.data)
  }
})

Output :

// result.data
[ '<button class="button button--small margin-top margin-bottom copy-tooltip copy-tooltip-w" data-clipboard-text="Development Status :: 1 - Planning" data-tooltip-label="Copy to clipboard" type="button">\n Copy\n</button>\n',
  '<button class="button button--small margin-top margin-bottom copy-tooltip copy-tooltip-w" data-clipboard-text="Development Status :: 2 - Pre-Alpha" data-tooltip-label="Copy to clipboard" type="button">\n Copy\n</button>\n',
  '<button class="button button--small margin-top margin-bottom copy-tooltip copy-tooltip-w" data-clipboard-text="Development Status :: 3 - Alpha" data-tooltip-label="Copy to clipboard" type="button">\n Copy\n</button>\n',
:
:
:

// result.headers
{ 'Content-Length': '322126', ...

// result.url
https://pypi.org/classifiers/

/tmp/data.json saved successfully, written 174182 bytes

If you have jq tool;

$ cat /tmp/data.json | jq 'length'
736

You can also add extra X- headers to your request. Read more about http headers at Mozilla’s website.

const promptapi = require('@promptapi/scraper-pkg')
params = {}
headers = {'X-Referer': 'https://www.google.com'}
promptapi.scraper('https://pypi.org/classifiers/', params, headers=headers).then(result => {
  if(result.error){
    console.log(result.error)
  } else {
    console.log(result.data); // your scraped data...
    console.log(result.headers);
    console.log(result.url);

    promptapi.save('/tmp/data.html', result.data) // save result
  }
})

Development

All you need is node and npm...

License

This project is licensed under MIT

Contributer(s)

Prompt API - Creator, maintainer

Contribute

All PR’s are welcome!

fork (https://github.com/promptapi/scraper-pkg/fork)
Create your branch (git checkout -b my-feature)
commit yours (git commit -am 'Add awesome features...')
push your branch (git push origin my-feature)
Than create a new Pull Request!

This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the code of conduct.