Randomly generate a fake useragent.
This project's idea is inspired by fake-useragent. I rewrote the whole codes in order to boost performance by:
- using asyncio and aiohttp to improve fetching speed
- taking advantage of Xpath to improve parsing speed
- changing random choice algorithm to improve random choice speed
Usage
on terminal, enter fakeua
Installation
pip install fake_user_agent
Metadata
Release files for fake_user_agent 0.0.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fake_user_agent-0.0.6.tar.gz | 51.8 kB | Without provenance | Details for fake_user_agent-0.0.6.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| fake_user_agent-0.0.6-py3-none-any.whl | Python 3 | none | any | Details for fake_user_agent-0.0.6-py3-none-any.whl |
Total release size: 58.9 kB
Release files / fake_user_agent-0.0.6.tar.gz
| Download URL | fake_user_agent-0.0.6.tar.gz |
|---|---|
| Size | 51.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.25.1
|
Release files / fake_user_agent-0.0.6-py3-none-any.whl
| Download URL | fake_user_agent-0.0.6-py3-none-any.whl |
|---|---|
| Size | 7.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
aaf4fb5cd0f5cc528813517875a155c703adc7fb7a1800f081a4e6db5a665721
|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.25.1
|
Security for fake_user_agent 0.0.6
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