Skip to main content

自分用・非汎用

Project description

domx

自分用・非汎用

インストール

uv add domx
uv run patchright install chromium
uv run camoufox fetch

使用例

スクレイピング

from domx import wrap_page
from domx.browser import patchright_page
from domx.utils import append_csv, from_here, save_log, write_bytes

here = from_here(__file__)
save_log(here('log/scraping.log'))

with patchright_page() as page:
    p = wrap_page(page)

    p.goto('https://www.foobarbaz1.jp')
    pref_urls = p.ii('li.item > ul > li > a').urls

    classroom_urls = []
    for i, url in enumerate(pref_urls, 1):
        print(f'pref_urls {i}/{len(pref_urls)}')
        if not p.goto(url):
            append_csv(here('csv/failed.csv'), {'url': url, 'reason': 'goto'})
            continue
        classroom_urls.extend(p.ii('.school-area h4 a').urls)

    for i, url in enumerate(classroom_urls, 1):
        print(f'classroom_urls {i}/{len(classroom_urls)}')
        if not p.goto(url):
            append_csv(here('csv/failed.csv'), {'url': url, 'reason': 'goto'})
            continue
        th_scan = p.ii('th').scan
        append_csv(here('csv/scrape.csv'), {
            'id': i,
            'URL': page.url,
            '教室名': p.i('h1 .text01').text,
            '住所': p.i('.item .mapText').text,
            '電話番号': p.i('.item .phoneNumber').text,
            'HP': th_scan.m(r'ホームページ').n('td').i('a').url,
            '営業時間': th_scan.m(r'営業時間').n('td').text,
            '定休日': th_scan.m(r'定休日').n('td').text,
        })
        p.i('.school-map').screenshot(here(f'media/{i}-screenshot.png'))
        if (img_url := p.i('.school-area img').src):
            if (res := p.goto(img_url)) and res.ok:
                write_bytes(here(f'media/{i}-img.jpg'), res.body())

スクレイピング(スクショと画像も保存)

import time
from urllib.parse import urlencode

from domx import wrap_page
from domx.browser import patchright_page
from domx.utils import save_log, append_csv, from_here, write_bytes

here = from_here(__file__)
save_log(here('log/scraping.log'))

with patchright_page() as page:
    p = wrap_page(page)
    
    p.goto('https://example.com/demo/search')
    prefecture_urls = p.ii('li > a[href^="https://example.com/demo/search/area/"]').urls

    bukken_urls = []
    for i, prefecture_url in enumerate(prefecture_urls, 1):
        print(f'{i}/{len(prefecture_urls)} エリア一覧ページ')
        page_num = 1
        while True:
            if not p.goto(f'{prefecture_url}?{urlencode({"page": page_num})}'):
                break
            if not (bukken_elems := p.ii('ul li div a[href^="https://example.com"]:has(p)')):
                break
            bukken_urls.extend(bukken_elems.urls)
            page_num += 1
    
    for i, url in enumerate(bukken_urls, 1):
        print(f'{i}/{len(bukken_urls)} 詳細ページ {url}')
        if not p.goto(url):
            append_csv(here('csv/failed.csv'), {'url': url, 'reason': 'goto'})
            continue
        
        dt_scan = p.ii('h4').scan.m(r'概要').n('div:has(dl)').ii('dt').scan
        dd_text = lambda pattern: dt_scan.m(pattern).n('dd').text

        append_csv(here('csv/scrape.csv'), {
            'id': i,
            'URL': page.url,
            '価格': dd_text(r'価格'),
            '所在地': dd_text(r'所在地'),
            '交通': dd_text(r'交通'),
            '駐車場': dd_text(r'駐車場'),
            '備考': dd_text(r'備考'),
            '情報更新日': dd_text(r'情報更新日'),
        })
        
        p.ii('h4').scan.m(r'概要').n('div:has(dl)').screenshot(path=here(f'media/{i}-summary.png'))

        elem_iframe = p.i('iframe[src^="https://example.com"]')
        elem_iframe.scroll_into_view()
        time.sleep(3)
        elem_iframe.screenshot(path=here(f'media/{i}-iframe.png'))

        main_img_url = p.i('img.w-full.object-contain').src
        if (body := p.bytes_at(main_img_url)):
            write_bytes(here(f'media/{i}-main-img.jpg'), body)

        img_desc_scan = p.ii('p.text-left').scan.m(r'画像をクリック').n('ul').ii('li p').scan
        img_desc = img_desc_scan.m(r'表紙') or img_desc_scan.m(r'^(?!.*裏面).*')
        img_url = img_desc.o('li').i('a').url
        if (body := p.bytes_at(img_url)):
            write_bytes(here(f'media/{i}-img-desc.jpg'), body)

スクレイピング(HTML丸ごと保存)

from datetime import datetime, timezone

from domx import wrap_page
from domx.browser import camoufox_page
from domx.utils import append_csv, from_here, hash_name, meta_html, save_log, write_text

here = from_here(__file__)
save_log(here('log/scraping.log'))

with camoufox_page() as page:
    p = wrap_page(page)

    p.goto('https://www.foobarbaz1.jp')
    item_urls = p.ii('ul.items > li > a').urls

    for i, url in enumerate(item_urls, 1):
        print(f'item_urls {i}/{len(item_urls)}')
        if not p.goto(url):
            append_csv(here('csv/failed.csv'), {'url': url, 'reason': 'goto'})
            continue
        file_name = f'{hash_name(url)}.html'
        html = meta_html({
            'domx:id': i,
            'domx:url': page.url,
            'domx:saved_at': datetime.now(timezone.utc),
        }) + page.content()
        if not write_text(here('html') / file_name, html):
            append_csv(here('csv/failed.csv'), {'url': url, 'reason': 'write_text'})
            continue

ローカルHTMLからデータ抽出&Parquet出力

from domx import wrap_parser
from domx.utils import from_here, parse_html, save_log, write_parquet

here = from_here(__file__)
save_log(here('log/scraping.log'))

results = []
for i, file_path in enumerate(here('html').glob('*.html'),1):
    print(f'html {i}')
    if not (parser := parse_html(file_path)):
        continue
    p = wrap_parser(parser)
    dt_scan = p.ii('dt').scan
    results.append({
        'ページURL': p.i('meta[name="domx:url"]').attr('content'),
        '保存日時': p.i('meta[name="domx:saved_at"]').attr('content'),
        'ファイル名': file_path.name,
        '教室名': p.i('h1 .text02').text,
        '住所': p.i('.item .mapText').text,
        '所在地': dt_scan.m(r'所在地').n('dd').text,
        '交通': dt_scan.m(r'交通').n('dd').text,
        '物件番号': dt_scan.m(r'物件番号').n('dd').text,
    })
write_parquet(here('parquet/extract.parquet'), results)

ローカルHTMLからデータ抽出&Parquet出力(並列処理)

from pathlib import Path

from domx import wrap_parser
from domx.utils import from_here, glob_paths, parse_html, pool_map, write_parquet

def main():
    here = from_here(__file__)
    html_paths = glob_paths(here('html'), '*.html')
    results = [r for r in pool_map(extract, html_paths) if r]
    write_parquet(here('parquet/extract.parquet'), results)

def extract(file_path: str) -> dict | None:
    if not (parser := parse_html(Path(file_path))):
        return None
    p = wrap_parser(parser)
    dt_scan = p.ii('dt').scan
    return {
        'ページURL': p.i('meta[name="domx:url"]').attr('content'),
        '保存日時': p.i('meta[name="domx:saved_at"]').attr('content'),
        'ファイルパス': file_path,
        '教室名': p.i('h1 .text02').text,
        '住所': p.i('.item .mapText').text,
        '所在地': dt_scan.m(r'所在地').n('dd').text,
        '交通': dt_scan.m(r'交通').n('dd').text,
        '価格': dt_scan.m(r'価格').n('dd').text,
        '設備・条件': dt_scan.m(r'設備').n('dd').text,
        '備考': dt_scan.m(r'備考').n('dd').text,
    }

if __name__ == '__main__':
    main()

License - ライセンス

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

domx-0.1.6.tar.gz (15.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

domx-0.1.6-py3-none-any.whl (12.1 kB view details)

Uploaded Python 3

File details

Details for the file domx-0.1.6.tar.gz.

File metadata

  • Download URL: domx-0.1.6.tar.gz
  • Upload date:
  • Size: 15.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.34.2

File hashes

Hashes for domx-0.1.6.tar.gz
Algorithm Hash digest
SHA256 9c39d8f62cb3bd827ce89a4297731d5a94ae91c806d338ab23336c2b70c19b46
MD5 f90c206ba36f945938efe422bbda020f
BLAKE2b-256 727e7305ffa7ff6ab674ce2859f0a86e7437cb87065aeb43944ed35323bceb28

See more details on using hashes here.

File details

Details for the file domx-0.1.6-py3-none-any.whl.

File metadata

  • Download URL: domx-0.1.6-py3-none-any.whl
  • Upload date:
  • Size: 12.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: python-requests/2.34.2

File hashes

Hashes for domx-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 65214116e31306a77d4b3e89e903ed0c14bee96239f18866f11dc613c276b72c
MD5 d352b1a407f249cab675729f5bd3eba4
BLAKE2b-256 3676a68ed40e97834a33f03a318dbf87e5291cbb00f8e4a4b5ef7da7d742038b

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page