Skip to main content

Asynchronous I/O Client for Baidu Tieba

Project description


安装

pip install aiotieba

尝试一下

import asyncio

import aiotieba


async def main():
    async with aiotieba.Client() as client:
        threads = await client.get_threads("天堂鸡汤")
        for thread in threads[3:6]:
            print(thread)


asyncio.run(main())

输出样例

{'tid': 8537603600, 'user': 'iqhaoo', 'text': '一人发一句最喜欢的游戏台词\n楼主先来\n很喜欢lol布隆说的“夜晚越黑暗,星星就越明亮”,尤其在当下这个有着诸多缺点的世界里,这句话让我感觉舒服了很多在人们已不再相信理想主义的至暗时刻,高擎炬火之人便显得更加重要,至少我会坚持我的理想'}
{'tid': 8093410706, 'user': '粉樱yyc', 'text': '大概是剪切板里的一些有意思的话\n今天看自己的剪切板快满了,稍微翻翻突然发现以前存的一些话还挺有意思,就放在这里啦\n(咦,疑似水帖啊我)'}
{'tid': 8537699088, 'user': '2003hepsee', 'text': '记录一下自己人生第一次当“老师”的经历^_^\n明天我带的孩子们就“毕业”了,第一次当老师我改变了很多也收获了很多,就想着给自己记录一下这段宝贵的经历:-)'}

继续阅读入门教程

项目特色

  • 收录数十个常用API
  • 类型注解全覆盖,方法注释全覆盖,类属性注释全覆盖,内部命名统一
  • 支持protobuf序列化请求参数
  • 支持websocket接口
  • 与官方版本高度一致的密码学实现

友情链接

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

aiotieba-3.7.3.tar.gz (149.1 kB view details)

Uploaded Source

Built Distributions

aiotieba-3.7.3-pp310-pypy310_pp73-win_amd64.whl (276.7 kB view details)

Uploaded PyPy Windows x86-64

aiotieba-3.7.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (291.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

aiotieba-3.7.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (273.3 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

aiotieba-3.7.3-pp39-pypy39_pp73-win_amd64.whl (276.6 kB view details)

Uploaded PyPy Windows x86-64

aiotieba-3.7.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (291.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

aiotieba-3.7.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (273.3 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

aiotieba-3.7.3-pp38-pypy38_pp73-win_amd64.whl (276.6 kB view details)

Uploaded PyPy Windows x86-64

aiotieba-3.7.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (291.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

aiotieba-3.7.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (273.3 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

aiotieba-3.7.3-cp311-cp311-win_amd64.whl (276.6 kB view details)

Uploaded CPython 3.11 Windows x86-64

aiotieba-3.7.3-cp311-cp311-musllinux_1_1_x86_64.whl (338.0 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

aiotieba-3.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (329.7 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

aiotieba-3.7.3-cp311-cp311-macosx_10_9_x86_64.whl (275.2 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

aiotieba-3.7.3-cp310-cp310-win_amd64.whl (276.6 kB view details)

Uploaded CPython 3.10 Windows x86-64

aiotieba-3.7.3-cp310-cp310-musllinux_1_1_x86_64.whl (335.9 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

aiotieba-3.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (328.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

aiotieba-3.7.3-cp310-cp310-macosx_10_9_x86_64.whl (275.1 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

aiotieba-3.7.3-cp39-cp39-win_amd64.whl (276.6 kB view details)

Uploaded CPython 3.9 Windows x86-64

aiotieba-3.7.3-cp39-cp39-musllinux_1_1_x86_64.whl (335.7 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

aiotieba-3.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (328.7 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

aiotieba-3.7.3-cp39-cp39-macosx_10_9_x86_64.whl (275.1 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

aiotieba-3.7.3-cp38-cp38-win_amd64.whl (276.6 kB view details)

Uploaded CPython 3.8 Windows x86-64

aiotieba-3.7.3-cp38-cp38-musllinux_1_1_x86_64.whl (335.7 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

aiotieba-3.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (329.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

aiotieba-3.7.3-cp38-cp38-macosx_10_9_x86_64.whl (275.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

File details

Details for the file aiotieba-3.7.3.tar.gz.

File metadata

  • Download URL: aiotieba-3.7.3.tar.gz
  • Upload date:
  • Size: 149.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for aiotieba-3.7.3.tar.gz
Algorithm Hash digest
SHA256 ee165e75cb48b8988c039ecfd64a44bde502cac6bf41d908733e6bc6d4b07950
MD5 1c7279ce86a88df57b2b70176233f3d9
BLAKE2b-256 f6b05a03f1bd45f2ec022ca1a86f3a0e0a73242c2ebf592979584c2524dfb523

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 e4a734b0619ed7fda575d0bff72be79e7b2d67fa521151eab4f1de4ce42ef244
MD5 522c6c5f7dca5978ce7b0a7d390d65a1
BLAKE2b-256 36b75f83d05731be9e0199c6f218b1ab0d21987d0afe902bc656468a00f47789

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 91987db1013824f57e16e12fe320711bcb2ab14eaf6f402c7990e7a6de2f3dca
MD5 9ba976c6545e056fc3800cd4e2bd1659
BLAKE2b-256 90dd7cfe8932d0fb7f922ec794cc5fe74d3adc6303776d1d1dea4d7e46bc983f

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bd9a987ff40a64ef006a89b73542aadfbdd033729937216ea0378b19f55c07b8
MD5 f3c1c51c6dc320d6060668782de8b168
BLAKE2b-256 a11b4778fdc3d0ace3f7b6bc8b90d8e269b787aed4524b5e34c6d9b95ecda85c

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 18137ab69a844692cffc9e66d6e5e77ce0245efd6ab1cc7cd1e27193f61186b3
MD5 5b3cc7ca3c3903d156472a02dcfc3302
BLAKE2b-256 9e67a4f79918d5c87a50b199194a6274f4eda401b24b6d7e236872189071b4e1

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 17a373baf1473db619d45a20eb580f2a95ba0461d998c68cb19679d15de6ea33
MD5 a16d85232aa0de253e5fa9eb3f6b2d92
BLAKE2b-256 138f161a630d328d3c59c35e40b28ad54592bdf8b91c95e8a6cf421abba4cda9

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 67263aa3f9e0f35d40900a56b4cbfb466e1ab18a8c7b361f99a2358fbf45e8f9
MD5 d7702b87deb8e8750be2b886c61c71f9
BLAKE2b-256 959d45d7df49360b78e506c733939c58aa4ddbaaf1615f441dc34d3760f1296a

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 61a722b7c6e0d9fc0855ff130f29c35c9ad04a80e097a51a6e54fe9ceb1ac0ad
MD5 52da34b70b277e5cc06062a59d45c1f5
BLAKE2b-256 a11cf8a56cb86b740fee14f30ba8ccd0bdf0263351b12d8b645193c0a7646d2f

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 27bdaeaa9a63ebace3009a2c1eddcd69f7cc47fc66826e922febc9f50bba43c5
MD5 5a1c716cce2f6916ab4d1c77f6ec3e13
BLAKE2b-256 32901f41dcf6703171bb998bfb07544b86a124ab0e045daae8627cf00fed970d

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 859e11a18f4bb0f51dc55620adee7804768874eada2e3a52b4e0167a9c32d121
MD5 4227dd741ec7c4bb26dc99e490444aea
BLAKE2b-256 055fbde04f1759d98436fd66a41e353f158708cb3c84dc057e7fae1ab0bbbb7f

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: aiotieba-3.7.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 276.6 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for aiotieba-3.7.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 ad2660c8adb52adb450e03b3995a54ef3f26bc84d3dd595cc9c69ee7b2ea6f0c
MD5 c89e580342cce395b826fdd1dddf3051
BLAKE2b-256 9199c9ac4f8c9f8b43429f74d5a3213033f817f3b2e0d45414a5dc67ef4b759d

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 22f7bc9cfcca78585ce832f364c1035496e9abbebe35360c4ef34c0e443693ce
MD5 98ef3ba3c7c17a36364963ff314455c1
BLAKE2b-256 db1323bfd5d7be6f7d66bd3ce8aee4d60dfc29c9e5ea3b5e8e3cf0cdf5b817f2

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ffee2a0b4f8eb5502435daf45735ae4fa49a3349beb0a8dbcac2f24a10f2a5cd
MD5 dcd4e60d9c151d82db5f7dacb26b0936
BLAKE2b-256 5a0ed908f1109b1fbbf9c7d60fa429117d0caf4dc45076ce8950259b76913139

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 41c59d9bf7567f2b2500e3f53384e15e82a6048049902993009527f74cac885f
MD5 4f5ef4e27e4ce89cb87fbb5ac78f0c90
BLAKE2b-256 6e63f52c5ac809e9fbe5aaa7b6220cadf7d1eb909bca6b0efe7c75fe10735aa1

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: aiotieba-3.7.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 276.6 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for aiotieba-3.7.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 d615742320b6fe7715d71d2a236cf215b541a2f76d7670f966bb904871ae0f9a
MD5 74cd3d5d20f54488dbfccbebd211bfe1
BLAKE2b-256 1b6d30019a7b5a222d74fa2f4a278e6d4f456fe42954cd48692079767ec5fcc6

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 386edb41f544ec300849fc834ffe9ae24be8b5ed22c232a2498fb10ad7de83c1
MD5 0ad359ee9f7d0fae38a2dfe5d0b91d45
BLAKE2b-256 7b31a6cc100e6114304b0c64840c79e4fbedb8459f9262acfd6b063b581c304f

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f17dfda9d395c729544ec3ea4f444db14a6fc1d3ed143d7d6f649d806e140e1b
MD5 e0287b7f8af1caa493f61f821bc4eacf
BLAKE2b-256 7650093428060bad5c52c4f9c663f15355e0ed917b839bc8648f483ec4d461f7

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 858cf27248f0fc6f8a8198176d74eb4b4dbd586e7da7864067d278fc6afb5451
MD5 04042d2a061c7d2b2f42012abcbf837b
BLAKE2b-256 20f6a0558314a15d0f905382f268c7be34233680f95d3a6fc5029d089990cb85

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: aiotieba-3.7.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 276.6 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for aiotieba-3.7.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 b94cc0a81965d0edf0063a66425d33d21f479654b84ae6056b91e16c7c912c02
MD5 30c4293fa0d05d7d1ae34ec84563c528
BLAKE2b-256 6d1c48088c566cd31b8387c1f4415ed552580d1130f04dc20f57649dd22a34df

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 9401957bb329aeeed8d4dc902a6bd94efaff9efb8ebc86bbf17c81e929347594
MD5 3f15dd922df5d02c39545b7fd09812d0
BLAKE2b-256 159f7381f10564470b91b47c559d1a6d5d52a71049a764198d947a6933d65600

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 75bc010bb50d284f84654530fc715dd96e74ec587e625fcd332050d1d95b327b
MD5 790951d89d67692f5fd43e068c60e2ae
BLAKE2b-256 5eface0e8ad09922ebd5e0417c2c0674794c6c99a05a748ac27be6de26442060

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 cdb7eb8f231b9b3442e7af221f23a366bc6b53356a7781a2cf4bc8a9694bc115
MD5 2fbef5e7713873f7060917957c0e93cd
BLAKE2b-256 944c796866a2665dca66ce75be011197228e1e72d6cf24f68f3dc524c43e98c0

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: aiotieba-3.7.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 276.6 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for aiotieba-3.7.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 9849558b68ded1a316bdf78843c375c7779cfd8e34e4630dd9c6d6c4e84f2d0f
MD5 606732a28fe2d21365d2a64e2cbd166f
BLAKE2b-256 ffa68c21c2a0f8d45e2859f3db2c452ba40bad6d910409a19c1c178637e6554d

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 b2f07c1b42bcffca8a7040a227406acc48d30d3d4660c7a3024f47f2075497bd
MD5 49428f67a4a78382a78a0402abfc1fad
BLAKE2b-256 05751d7f1f8e1d9e4dcaa2e5795364ef3577ebf3149ac3e4af9d6691d273b1bb

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 029fc5ed6f87dbc2f5abfcbd459d71b5ccdf08c3b77758a336f8d85ed8bd9c31
MD5 37d35510d0262d2eb4f725306732aa2b
BLAKE2b-256 270f5a5b5a750cd27f1c6b8ea5892788e0696f462cc00f98eec3826a46091656

See more details on using hashes here.

File details

Details for the file aiotieba-3.7.3-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for aiotieba-3.7.3-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 191f8f7d5a409fb8335ff3957b08354f109ca3a7bd6bf0692e2bec61995295c9
MD5 e711b9400bbf9258df0eaa2f750a0035
BLAKE2b-256 450a64b64ce8eff8e734f1d41b161bde003c5a06ddda36becbbed45f6778b220

See more details on using hashes here.

Supported by

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