semvec/pypi-packages huggingface dataset:
naverplacescraper 1.0.0
Scrapes text data about the store/company from Naver Place.
License: MIT
Keywords: python,sns,scraper,crawler

# SNS text scraper

네이버 플레이스에 게시된 업체의 리뷰 데이터들를 추출해 주는 봇.

## Installation

```shell
$ pip install naverplacescraper
```

## Usage

사용 예제 [notebook](https://github.com/choi-jiwoo/naver-place-scraper) 참고.

### Naver place

네이버 플레이스에 등록된 업체들의 description 데이터과 review 데이터를 추출.

#### Quick start

[네이버 지도](map.naver.com)에서 첫번째 검색결과로 검색되는 업체의 데이터를 가져옴. 그렇기 때문에 검색결과에 따라 원하는 업체의 데이터가 뽑히지 않을 수 있음.

```python
>>> from naverplacescraper import NaverPlace
>>> store_name = 'xxxxxx'
>>> store = NaverPlace(store_name)
>>> description = store.get_description()
>>> reviews = store.get_reviews()  # defaults to 100 reviews.
```

#### Output

```python
>>> description
'Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.'
>>> reviews
|  date  | review |
|--------|--------|
|  x.x.X | xxxxxx |
```

## Credit

좌표를 설정하는데 사용된 [kor_coordinates.txt](https://github.com/choi-jiwoo/naver-place-scraper/blob/master/data/kor_coordinates.txt)는 [cubensys](https://github.com/cubensys)님의 [Korea_District](https://github.com/cubensys/Korea_District)에 있는 [대한민국\_기초자치단체\_중심점\_2017.csv](https://github.com/cubensys/Korea_District/blob/master/2_%EB%8C%80%ED%95%9C%EB%AF%BC%EA%B5%AD_%EA%B8%B0%EC%B4%88%EC%9E%90%EC%B9%98%EB%8B%A8%EC%B2%B4/%EB%8C%80%ED%95%9C%EB%AF%BC%EA%B5%AD_%EA%B8%B0%EC%B4%88%EC%9E%90%EC%B9%98%EB%8B%A8%EC%B2%B4_%EC%A4%91%EC%8B%AC%EC%A0%90_2017.csv)를 사용하였습니다.

## Disclaimer

이 프로젝트는 비상업적 용도를 위해 제작되었습니다. 용도에 맞게 사용해주시길 바랍니다.
mycloudhome 2022.2.22
mycloudhome - a CLI tool for wd mycloud home.
License: MIT
Requires Python: >=3.6
Keywords: WD My Cloud Home,western digital,cli,file management

# WD My Cloud Home CLI

mycloudhome is a cli tool to manage file on the `West Digital` storage device: `My Cloud Home`. You can check the files on your device in the cli way. Also you can upload or download the file in your command line anywhere without using the WD Client or Web Brower.

Learn more about MY CLOUD HOME from: <https://www.mycloud.com/#/>

__WD has changed the policy of login. The username and password is not possible now. So I disable this auto-fetch token interface. Please get your token by yourself. And use `mycloudhome login --username XXX --token XXX` instead !!!__

> hints: F11 on Chrome and monitor the xhr like: `POST https://auth0.accounts.westerndigital.com/oauth/token HTTP/2.0`. The access_token in the respond body is what we want.

## Install

```bash
pip3 install mycloudhome
```

## Usage Examples

Command-line scares you off? No, mycloudhome is really easy to use!!

1. fisrt, we need do a login action. And it will fetch your token and config from `mycloud.com`.

```bash
mycloudhome login --username xxx --token xxx
```

2. get your devices info by:

```bash
mycloudhome devices
```

3. list the files and dirs under the path:

```bash
mycloudhome ls --wduri 'wd://Buckets/install/'
```

>The path on device aways start with 'wd://', and the root of your device is 'wd://'

4. move one file from one location to another:

```bash
mycloudhome mv --src wd://temp/readme.md --dst wd://temp/ttt
```

5. delete file:

```bash
mycloudhome rm --wduri wd://temp/readme_1.md
```

6. create a new WD dir:

```bash
mycloudhome mkdir --wduri wd://temp/cache
```

7. upload the file from local file system to My Cloud Home:

```bash
mycloudhome upload --src 20200518.xlsx --wduri wd://excels
```

8. download file from My Cloud Home to local file system:

```bash
mycloudhome download --wduri 'wd://Buckets/install/v2ray-linux-arm64.zip' --localpath .
```

---

- <https://home.mycloud.com/>
- <https://pypi.org/project/mycloudhome>
- <https://home.mycloud.com/>