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https://github.com/dhvcc/rss-parser

typed python RSS parsing module built using xmltodict and pydantic
https://github.com/dhvcc/rss-parser

atom atom-feed atom-parser bs4 gplv3 mit-license pydantic python python-3 python3 rss rss-feed-parser rss-feed-scraper rss-parser typed typed-python xml xml-parser

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typed python RSS parsing module built using xmltodict and pydantic

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# Rss parser

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## About

`rss-parser` is typed python RSS/Atom parsing module built using [pydantic](https://github.com/pydantic/pydantic) and [xmltodict](https://github.com/martinblech/xmltodict)

## Installation

```bash
pip install rss-parser
```

or

```bash
git clone https://github.com/dhvcc/rss-parser.git
cd rss-parser
poetry build
pip install dist/*.whl
```

## V1 -> V2 migration
- `Parser` class was renamed to `RSSParser`
- Models for RSS-specific schemas were moved from `rss_parser.models` to `rss_parser.models.rss`. Generic types are not touched
- Date parsing was changed a bit, now uses pydantic's `validator` instead of `email.utils`, so the code will produce datetimes better, where it was defaulting to `str` before

## Usage

### Quickstart

**NOTE: For parsing Atom, use `AtomParser`**

```python
from rss_parser import RSSParser
from requests import get # noqa

rss_url = "https://rss.art19.com/apology-line"
response = get(rss_url)

rss = RSSParser.parse(response.text)

# Print out rss meta data
print("Language", rss.channel.language)
print("RSS", rss.version)

# Iteratively print feed items
for item in rss.channel.items:
print(item.title)
print(item.description[:50])

# Language en
# RSS 2.0
# Wondery Presents - Flipping The Bird: Elon vs Twitter
#

When Elon Musk posted a video of himself arrivi
# Introducing: The Apology Line
#

If you could call a number and say you’re sorry
```

Here we can see that description is still somehow has

- this is beacause it's placed as [CDATA](https://www.w3resource.com/xml/CDATA-sections.php) like so

```
If you could call ...

]]>
```

### Overriding schema

If you want to customize the schema or provide a custom one - use `schema` keyword argument of the parser

```python
from rss_parser import RSSParser
from rss_parser.models import XMLBaseModel
from rss_parser.models.rss import RSS
from rss_parser.models.types import Tag

class CustomSchema(RSS, XMLBaseModel):
channel: None = None # Removing previous channel field
custom: Tag[str]

with open("tests/samples/custom.xml") as f:
data = f.read()

rss = RSSParser.parse(data, schema=CustomSchema)

print("RSS", rss.version)
print("Custom", rss.custom)

# RSS 2.0
# Custom Custom tag data
```

### xmltodict

This library uses [xmltodict](https://github.com/martinblech/xmltodict) to parse XML data. You can see the detailed documentation [here](https://github.com/martinblech/xmltodict#xmltodict)

The basic thing you should know is that your data is processed into dictionaries

For example, this data

```xml
content
```

will result in the following

```python
{
"tag": "content"
}
```

*But*, when handling attributes, the content of the tag will be also a dictionary

```xml
data
```

Turns into

```python
{
"tag": {
"@attr": "1",
"@data-value": "data",
"#text": "content"
}
}
```

Multiple children of a tag will be put into a list

```xml


content
content2

```

Results in a list

```python
[
{ "tag": "content" },
{ "tag": "content" },
]
```

If you don't want to deal with those conditions and parse something **always** as a list -
please, use `rss_parser.models.types.only_list.OnlyList` like we did in `Channel`
```python
from typing import Optional

from rss_parser.models.rss.item import Item
from rss_parser.models.types.only_list import OnlyList
from rss_parser.models.types.tag import Tag
from rss_parser.pydantic_proxy import import_v1_pydantic

pydantic = import_v1_pydantic()
...

class OptionalChannelElementsMixin(...):
...
items: Optional[OnlyList[Tag[Item]]] = pydantic.Field(alias="item", default=[])
```

### Tag field

This is a generic field that handles tags as raw data or a dictonary returned with attributes

Example

```python
from rss_parser.models import XMLBaseModel
from rss_parser.models.types.tag import Tag

class Model(XMLBaseModel):
width: Tag[int]
category: Tag[str]

m = Model(
width=48,
category={"@someAttribute": "https://example.com", "#text": "valid string"},
)

# Content value is an integer, as per the generic type
assert m.width.content == 48

assert type(m.width), type(m.width.content) == (Tag[int], int)

# The attributes are empty by default
assert m.width.attributes == {} # But are populated when provided.

# Note that the @ symbol is trimmed from the beggining and name is convert to snake_case
assert m.category.attributes == {'some_attribute': 'https://example.com'}
```

## Contributing

Pull requests are welcome. For major changes, please open an issue first
to discuss what you would like to change.

Install dependencies with `poetry install` (`pip install poetry`)

`pre-commit` usage is highly recommended. To install hooks run

```bash
poetry run pre-commit install -t=pre-commit -t=pre-push
```

## License

[GPLv3](https://github.com/dhvcc/rss-parser/blob/master/LICENSE)