Skip to main content

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

Project description

AutoSpider: A Smart, Automatic, Fast Web Spider for Python

This project is made for automatic web spider to make scraping easy. It gets a url or the html content of a web page and a list of sample data which we want to scrape from that page. This data can be text, url or any html tag value of that page. It learns the spider rules and returns the similar elements. Then you can use this learned object with new urls to get similar content or the exact same element of those new pages.

Installation

It's compatible with python 3.

  • Install latest version from git repository using pip:
$ pip install git+https://github.com/khulnasoft-lab/autospider.git
  • Install from PyPI:
$ pip install autospider
  • Install from source:
$ python setup.py install

How to use

Getting similar results

Say we want to fetch all related post titles in a stackoverflow page:

from autospider import AutoSpider

url = 'https://stackoverflow.com/questions/2081586/web-scraping-with-python'

# We can add one or multiple candidates here.
# You can also put urls here to retrieve urls.
wanted_list = ["What are metaclasses in Python?"]

scraper = AutoSpider()
result = scraper.build(url, wanted_list)
print(result)

Here's the output:

[
    'How do I merge two dictionaries in a single expression in Python (taking union of dictionaries)?', 
    'How to call an external command?', 
    'What are metaclasses in Python?', 
    'Does Python have a ternary conditional operator?', 
    'How do you remove duplicates from a list whilst preserving order?', 
    'Convert bytes to a string', 
    'How to get line count of a large file cheaply in Python?', 
    "Does Python have a string 'contains' substring method?", 
    'Why is “1000000000000000 in range(1000000000000001)” so fast in Python 3?'
]

Now you can use the scraper object to get related topics of any stackoverflow page:

scraper.get_result_similar('https://stackoverflow.com/questions/606191/convert-bytes-to-a-string')

Getting exact result

Say we want to scrape live stock prices from yahoo finance:

from autospider import AutoSpider

url = 'https://finance.yahoo.com/quote/AAPL/'

wanted_list = ["124.81"]

scraper = AutoSpider()

# Here we can also pass html content via the html parameter instead of the url (html=html_content)
result = scraper.build(url, wanted_list)
print(result)

Note that you should update the wanted_list if you want to copy this code, as the content of the page dynamically changes.

You can also pass any custom requests module parameter. for example you may want to use proxies or custom headers:

proxies = {
    "http": 'http://127.0.0.1:8001',
    "https": 'https://127.0.0.1:8001',
}

result = scraper.build(url, wanted_list, request_args=dict(proxies=proxies))

Now we can get the price of any symbol:

scraper.get_result_exact('https://finance.yahoo.com/quote/MSFT/')

You may want to get other info as well. For example if you want to get market cap too, you can just append it to the wanted list. By using the get_result_exact method, it will retrieve the data as the same exact order in the wanted list.

Another example: Say we want to scrape the about text, number of stars and the link to issues of Github repo pages:

from autospider import AutoSpider

url = 'https://github.com/khulnasoft-lab/autospider'

wanted_list = ['A Smart, Automatic, Fast and Lightweight Web Scraper for Python', '2.5k', 'https://github.com/khulnasoft-lab/autospider/issues']

scraper = AutoSpider()
scraper.build(url, wanted_list)

Simple, right?

Saving the model

We can now save the built model to use it later. To save:

# Give it a file path
scraper.save('yahoo-finance')

And to load:

scraper.load('yahoo-finance')

Issues

Feel free to open an issue if you have any problem using the module.

Happy Coding ♥️

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

autospider-1.1.1.tar.gz (11.4 kB view details)

Uploaded Source

Built Distribution

autospider-1.1.1-py3-none-any.whl (10.3 kB view details)

Uploaded Python 3

File details

Details for the file autospider-1.1.1.tar.gz.

File metadata

  • Download URL: autospider-1.1.1.tar.gz
  • Upload date:
  • Size: 11.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for autospider-1.1.1.tar.gz
Algorithm Hash digest
SHA256 3877f65a7a33d7d42b34b43dcb20c1d41196f82b478e221f0319c476df800138
MD5 f88795e34b9ad82d77c357f892abe8e2
BLAKE2b-256 b8382c4f2ba1a9012ae133f8ebdbbeead4923dea501671299bc71c64017fc84d

See more details on using hashes here.

File details

Details for the file autospider-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: autospider-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 10.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for autospider-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b2f97c8627b800d62163631c3d95a1ba6f9aa8cb308fd92c1f74785a6b340b4a
MD5 be45594d66371a7e8d02adb2138cbdf3
BLAKE2b-256 e4d59db413f1ab2656bf0e6af92859867bbf69cfcc0c9ac3a1adae5237fdfd01

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page