lassie VS Data Extractor

Compare lassie vs Data Extractor and see what are their differences.

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lassie Data Extractor
1 -
600 27
- -
0.0 6.0
almost 2 years ago 3 months ago
HTML Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

lassie

Posts with mentions or reviews of lassie. We have used some of these posts to build our list of alternatives and similar projects.

Data Extractor

Posts with mentions or reviews of Data Extractor. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning Data Extractor yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing lassie and Data Extractor you can also consider the following projects:

TWINT - An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

JSONPATH - A query expression for extracting data from JSON.

python-goose - Html Content / Article Extractor, web scrapping lib in Python

opengraph - A python module to parse the Open Graph Protocol

textract - extract text from any document. no muss. no fuss.

html2text - Convert HTML to Markdown-formatted text.

Goose3 - A Python 3 compatible version of goose http://goose3.readthedocs.io/en/latest/index.html

toapi - Every web site provides APIs.

micawber - a small library for extracting rich content from urls

newspaper - newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs: