Python client for aitag.win — search, rank, and scrape AI-generated art prompts and parameters
Project description
aitag — Python client for aitag.win
Search, rank, and scrape AI-generated art prompts & parameters from aitag.win. Only needs requests.
Install
pip install aitag
Quick Start
from aitag import AITagClient
client = AITagClient()
# Lấy chi tiết 1 post (tất cả ảnh + NAI JSON)
work = client.get_work(141959453)
for img in work.nai_images:
print(img.positive_prompt)
print(img.params.seed, img.params.steps)
# Search + lấy prompts
for img in client.get_all_images("高木さん", limit=50):
print(img.positive_prompt[:80])
# Rank tháng này
for stub in client.iter_rank_realtime(limit=100, nai_only=True):
print(stub.id, stub.title, stub.total_bookmarks)
API Reference
AITagClient(delay=0.3, timeout=15)
| Method | Trả về | Mô tả |
|---|---|---|
get_config() |
Config |
Config site (page_size, available_months...) |
get_work(id) |
Work |
Chi tiết post + tất cả ảnh |
search(q, ...) |
SearchResult |
Tìm kiếm 1 trang |
iter_search(q, ...) |
Iterator[WorkStub] |
Tự động qua tất cả trang |
search_with_prompts(q, ...) |
Iterator[stub, Work] |
Search + fetch work detail |
get_all_images(q, ...) |
Iterator[Image] |
Search → Image trực tiếp |
get_rank_realtime(page) |
RankResult |
Rank tháng hiện tại |
get_rank_month(period, page) |
RankResult |
Rank tháng cụ thể |
iter_rank_realtime(limit) |
Iterator[WorkStub] |
Iterator rank realtime |
iter_rank_month(period, limit) |
Iterator[WorkStub] |
Iterator rank tháng |
Search params
| Param | Mô tả | Ví dụ |
|---|---|---|
q |
Tìm tag/title | "高木さん", "NAI" |
prompt |
Tìm trong nội dung prompt | "masterpiece" |
sort |
Sắp xếp | "new" | "hot" |
time_range |
Khoảng thời gian | "all" | "month" | "week" |
nai_only |
Chỉ lấy NAI | True |
limit |
Số lượng tối đa | 100 |
Data models
Work
.id,.title,.tags,.create_date,.ai_type.images— listImage.nai_images— chỉ ảnh NAI.url— link aitag.win.to_dict()— export JSON
Image
.positive_prompt,.negative_prompt.params—NAIParams(steps, seed, width, height, sampler...).v4_prompt— V4 char captions.image_url— CDN webp URL.is_nai,.is_img2img.to_dict()— export JSON
NAIParams
steps,width,height,scale,cfg_rescaleseed,sampler,noise_schedulesm,sm_dyn,strength(img2img)
CLI
# Config
python -m aitag config
# Chi tiết post
python -m aitag work 141959453
python -m aitag work 141959453 --output post.json
# Search
python -m aitag search "高木さん" --limit 20
python -m aitag search "NAI" --sort hot --output results.json
python -m aitag search --prompt "masterpiece" --limit 50
# Rank
python -m aitag rank --realtime --limit 100
python -m aitag rank --period 2026-02 --output rank_feb.json
Ví dụ thực tế
Lưu tất cả prompts ra JSON
import json
from aitag import AITagClient
client = AITagClient(delay=0.5)
results = []
for img in client.get_all_images("高木さん", limit=100):
results.append(img.to_dict())
with open("prompts.json", "w", encoding="utf-8") as f:
json.dump(results, f, ensure_ascii=False, indent=2)
print(f"Saved {len(results)} images")
Lọc theo seed / sampler
from aitag import AITagClient
client = AITagClient()
for img in client.get_all_images("NAI", limit=200):
if img.params and img.params.sampler == "k_euler_ancestral":
print(f"seed={img.params.seed} | {img.positive_prompt[:80]}")
Lấy rank tháng trước + fetch prompts
from aitag import AITagClient
client = AITagClient()
cfg = client.get_config()
last_month = cfg.available_months[1] # tháng trước
for stub in client.iter_rank_month(last_month, limit=50, nai_only=True):
work = client.get_work(stub.id)
for img in work.nai_images:
print(f"#{stub.id} rank | {img.positive_prompt[:60]}")
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
aitag-3.0.0.tar.gz
(18.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
aitag-3.0.0-py3-none-any.whl
(18.6 kB
view details)
File details
Details for the file aitag-3.0.0.tar.gz.
File metadata
- Download URL: aitag-3.0.0.tar.gz
- Upload date:
- Size: 18.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b28972572aa2e4cf6f676d4c19ac4c2cb3ed5459b262cbe8300624f3b09daa3e
|
|
| MD5 |
bbb5e231e3df7bf281b80ec735f62c7a
|
|
| BLAKE2b-256 |
d1db10b2493337b822f5713c960d002592e93cfd7fd28d7114af93ee2e7cc93c
|
File details
Details for the file aitag-3.0.0-py3-none-any.whl.
File metadata
- Download URL: aitag-3.0.0-py3-none-any.whl
- Upload date:
- Size: 18.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.10.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
da933e4cf62970bbd2dccd57831d17a0142a77e7894640c4c0af317dc66ecd36
|
|
| MD5 |
ecff92f7023c62d1c1aebac7b8ecd443
|
|
| BLAKE2b-256 |
c6b508882b857f257152537c13b5eff0c10950fa449c8ed6375679b5a3f2ff7e
|