Combine XPath, CSS Selectors and JSONPath for Web data extracting.
Quickstarts
Installation
Install the stable version from PYPI.
pip install "data-extractor[jsonpath-extractor]" # for extracting JSON data
pip install "data-extractor[lxml]" # for extracting HTML data
Or install the latest version from Github.
pip install "data-extractor[jsonpath-extractor] @ git+https://github.com/linw1995/data_extractor.git@master"
Extract JSON data
Currently supports to extract JSON data with below optional dependencies
install one dependency of them to extract JSON data.
Extract HTML(XML) data
Currently supports to extract HTML(XML) data with below optional dependencies
cssselect for using CSS-Selectors
Usage
from data_extractor import Field, Item, JSONExtractor
class Count(Item):
followings = Field(JSONExtractor("countFollowings"))
fans = Field(JSONExtractor("countFans"))
class User(Item):
name_ = Field(JSONExtractor("name"), name="name")
age = Field(JSONExtractor("age"), default=17)
count = Count()
assert User(JSONExtractor("data.users[*]"), is_many=True).extract(
{
"data": {
"users": [
{
"name": "john",
"age": 19,
"countFollowings": 14,
"countFans": 212,
},
{
"name": "jack",
"description": "",
"countFollowings": 54,
"countFans": 312,
},
]
}
}
) == [
{"name": "john", "age": 19, "count": {"followings": 14, "fans": 212}},
{"name": "jack", "age": 17, "count": {"followings": 54, "fans": 312}},
]
Changelog
v1.0.1
Build
Supports Python 3.13
Contributing
Environment Setup
Clone the source codes from Github.
git clone https://github.com/linw1995/data_extractor.git
cd data_extractor
Setup the development environment. Please make sure you install the pdm, pre-commit and nox CLIs in your environment.
make init
make PYTHON=3.7 init # for specific python version
Linting
Use pre-commit for installing linters to ensure a good code style.
make pre-commit
Run linters. Some linters run via CLI nox, so make sure you install it.
make check-all
Testing
Run quick tests.
make
Run quick tests with verbose.
make vtest
Run tests with coverage. Testing in multiple Python environments is powered by CLI nox.
make cov
Metadata
Release files for data-extractor 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| data-extractor-1.0.1.tar.gz | 28.2 kB | Without provenance | Details for data-extractor-1.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| data_extractor-1.0.1-py3-none-any.whl | Python 3 | none | any | Details for data_extractor-1.0.1-py3-none-any.whl |
Total release size: 46.5 kB
Release files / data-extractor-1.0.1.tar.gz
| Download URL | data-extractor-1.0.1.tar.gz |
|---|---|
| Size | 28.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
3ff9424d4859ecd1a4f3b0f9f5b614117a0efa2747493365169b54c6af51aa90
|
|
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
|
Release files / data_extractor-1.0.1-py3-none-any.whl
| Download URL | data_extractor-1.0.1-py3-none-any.whl |
|---|---|
| Size | 18.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2126dc68207b650ae884cac6caf8dec0388c6334ad379069b166d6336e27b1e7
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BLAKE2b-256 checksum How to use checksums |
1f9e4c7f72bd7e7a0879eb751c8599dda74a8542d736e97c8f673eaff8226b68
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
|
Security for data-extractor 1.0.1
Provenance
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None of the files in this release were uploaded with provenance metadata.
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