Search1API Python SDK

Official synchronous and asynchronous Python clients for Search1API.

API documentation: search1api.com/docs

Install

pip install search1api

Search

from search1api import Search1API

client = Search1API()  # reads SEARCH1API_API_KEY
response = client.search(
    "latest AI agent frameworks",
    max_results=10,
    crawl_results=3,
)

for result in response["results"]:
    print(result["title"], result["link"])

search_service selects one engine (google by default), for example bing, bingcn, yandex, reddit, github, arxiv, wikipedia, or grokipedia. page requests a later results page on engines with native pagination (bing, bingcn, baidu, grokipedia). Results carry published_date when the source exposes one. Engine-specific fields are in each result's optional metadata: GitHub uses metadata.kind, metadata.stars, metadata.language, and metadata.num_comments; Hacker News news results use metadata.story_url, metadata.points, and metadata.num_comments. The former top-level paths are removed in 0.4.0; published_date stays at the top level.

Use the client as a context manager when it owns the HTTP connection pool:

with Search1API("your-api-key") as client:
    print(client.usage())

Async

from search1api import AsyncSearch1API

async with AsyncSearch1API() as client:
    response = await client.search("latest AI agent frameworks")

Ask

ask sends a natural-language request and lets Search1API choose the engines and time window. It returns at most 10 results ranked by relevance, and intent reports what was searched:

answer = client.ask("What are developers saying about Bun 1.3 this month?")

print(answer["intent"]["sources"], answer["intent"]["time_range"])
for result in answer["results"]:
    print(result["relevance"], result["source"], result["title"], result["link"])

A completed request costs 5 credits. Ask is not available with pay-per-request payments, and its default timeout is 45 seconds. Use search when you already know which engine and keywords you want.

Deepcrawl

deepcrawl starts a task and waits for it to finish:

result = client.deepcrawl("https://example.com", type="all")
print(result["zipUrl"])

Use start_deepcrawl, get_deepcrawl_status, and wait_for_deepcrawl when the application needs to control persistence or polling itself.

Screenshot

Screenshot responses are binary image bytes rather than JSON:

from pathlib import Path

screenshot = client.screenshot(
    "https://example.com",
    format="png",
    full_page=True,
)

Path("screenshot.png").write_bytes(screenshot["data"])
print(screenshot["content_type"], screenshot.get("request_id"))

The clients also support news, crawl, sitemap, trending, extract, usage, and batch operations exposed by the Search1API HTTP API. Requests time out after 30 seconds and retry 429 and transient 5xx responses twice by default. Authentication, payment, and validation errors are never retried. Deepcrawl task creation and feedback are not retried automatically because they are not idempotent.

Feedback

feedback reports a Search1API problem, missing capability, or confusing documentation. It is free. Do not include credentials or personal data:

client.feedback(
    "Results for this query have no publication dates",
    category="feature_request",
    request_id="the x-search1api-request-id of the original request",
)

Development

python -m venv .venv
. .venv/bin/activate
python -m pip install -e ".[dev]"
ruff format --check .
ruff check .
mypy src/search1api
pytest
python -m build

The checked-in OpenAPI snapshot is used to verify that the client covers every public operation.

License

MIT