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MIT 52 3 10,458
305 (month) Aug 24 2018 1.1.9(5 years ago)
2,594 3 68 GPLv3+
1.7.0(2 months ago) Jul 17 2019 251.4 thousand (month)

Photon is a Python library for web scraping. It is designed to be lightweight and fast, and can be used to extract data from websites and web pages. Photon can extract the following data while crawling:

  • URLs (in-scope & out-of-scope)
  • URLs with parameters (
  • Intel (emails, social media accounts, amazon buckets etc.)
  • Files (pdf, png, xml etc.)
  • Secret keys (auth/API keys & hashes)
  • JavaScript files & Endpoints present in them
  • Strings matching custom regex pattern
  • Subdomains & DNS related data

The extracted information is saved in an organized manner or can be exported as json.

Trafilatura is a Python package and command-line tool designed to gather text on the Web. It includes discovery, extraction and text processing components. Its main applications are web crawling, downloads, scraping, and extraction of main texts, metadata and comments. It aims at staying handy and modular: no database is required, the output can be converted to various commonly used formats.

Going from raw HTML to essential parts can alleviate many problems related to text quality, first by avoiding the noise caused by recurring elements (headers, footers, links/blogroll etc.) and second by including information such as author and date in order to make sense of the data. The extractor tries to strike a balance between limiting noise (precision) and including all valid parts (recall). It also has to be robust and reasonably fast, it runs in production on millions of documents.

This tool can be useful for quantitative research in corpus linguistics, natural language processing, computational social science and beyond: it is relevant to anyone interested in data science, information extraction, text mining, and scraping-intensive use cases like search engine optimization, business analytics or information security.

Example Use

from photon import Photon

#Create a new Photon instance
ph = Photon()

#Extract data from a specific element of the website
url = ""
selector = "div.main"
data = ph.get_data(url, selector)

#Print the extracted data

#Extract data from multiple websites asynchronously
urls = ["", ""]
data = ph.get_data_async(urls)
# it can be used to clean HTML files
from trafilatura import clean_html

html = '<html><head><title>My Title</title></head><body><p>This is some <b>bold</b> text.</p></body></html>'
cleaned_html = clean_html(html)

# can strip away tags:
clean_html(html, tags_to_remove=["title"])
# or attributes
clean_html(html, attributes_to_remove=["title"])

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