extructvsextractnet
extruct is a library for extracting embedded metadata from HTML markup.
Currently, extruct supports:
- W3C's HTML Microdata
- embedded JSON-LD
- Microformat via mf2py
- Facebook's Open Graph
- (experimental) RDFa via rdflib
- Dublin Core Metadata (DC-HTML-2003)
Extruct is a brilliant data parser for schema.org marked up websites (many modern websites) and is an easy way to extract popular details like product information, company contact details etc.
ExtractNet is an automated web data extraction tool using machine learning to parse HTML and text data.
This tool can be used in web scraping to automatically extract details from scraped HTML documents. While it's not as accurate as structured extraction using HTML parsing tools like CSS selectors or XPath it can still parse a lot of details.
Example Use
```python
# retrieve HTML content
import httpx
response = httpx.get('https://webscraping.fyi/lib/python/extruct')
import extruct
all_data = extruct.extract(response.text, response.url)
# or we can extract specific metadata format by importing individuals extractors:
extractor = extruct.MicrodataExtractor()
microdata = extractor.extract(response.text)
extractor = extruct.JsonLdExtractor()
jsonld = extractor.extract(response.text)
```
```python
import requests
from extractnet import Extractor
raw_html = requests.get('https://currentsapi.services/en/blog/2019/03/27/python-microframework-benchmark/.html').text
results = Extractor().extract(raw_html)
{'phone_number': '555-555-5555', 'email': 'example@example.com'}
```