JSONPATH VS lassie

Compare JSONPATH vs lassie and see what are their differences.

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JSONPATH lassie
- 1
37 600
- -
5.7 0.0
about 2 months ago over 1 year ago
Python HTML
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.

JSONPATH

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

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

lassie

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

What are some alternatives?

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

Data Extractor - Combine XPath, CSS Selectors and JSONPath for Web data extracting.

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.

toapi - Every web site provides APIs.

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

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

opengraph - A python module to parse the Open Graph Protocol

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

micawber - a small library for extracting rich content from urls

python-readability - fast python port of arc90's readability tool, updated to match latest readability.js!

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