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Stophy for Python

The web data layer for AI agents, in Python. Live web data as typed JSON. Search, video, social, jobs, places, property and ads behind one key, with a price shown before every call. You pay only for answers that come back. Every method and result is typed.

Install

pip install stophy

Try it without a key

from stophy import Stophy

result = Stophy().google.search(query="bun runtime")
print(result["data"]["results"])

Google search, Google News, YouTube search, YouTube video details and YouTube transcripts work without a key, with a small free allowance. Every other method raises a StophyError with the code unauthorized.

Use an API key

Get a key from the dashboard. Keys start with st_. Set it as STOPHY_API_KEY, or pass it in:

stophy = Stophy(api_key="st_...")

videos = stophy.youtube.search(query="bun runtime")
print(videos["data"]["results"])

Methods follow the source and the command: stophy.maps.search(...), stophy.reddit.subreddit(...), stophy.ads.search(network="meta", ...). Endpoints with a single name are methods on the client, like stophy.transcript(...).

Every response is a dict with success, data, creditsUsed, and requestId. data is one flat dict. Lists are in data["results"].

Arguments are keyword-only and snake_case.

For async code, use AsyncStophy. It has the same methods, and you await each call.

More data

A transcript, Reddit posts, Google Maps reviews, a TikTok profile and Meta ads:

stophy = Stophy(api_key="st_...")

transcript = stophy.transcript(video="https://youtu.be/dQw4w9WgXcQ", include_timestamps=True)
print(transcript["data"].get("text"), transcript["data"].get("segments"))

posts = stophy.reddit.search(query="bun runtime", sort="top", within="month")
print(posts["data"]["results"])

places = stophy.maps.search(query="coffee", location="Austin, TX")
place_id = places["data"]["results"][0].get("placeId")
if place_id:
    reviews = stophy.maps.reviews(place=place_id)
    print(reviews["data"]["results"])

profile = stophy.tiktok.profile(profile="tiktok")
print(profile["data"].get("followers"), profile["data"].get("results"))

ads = stophy.ads.search(network="meta", query="running shoes")
print(ads["data"]["results"])

ads.search covers several ad networks. Pick one with network. The type checker follows the choice.

Get the next page

Each call returns one page of results, as the site shows it. List methods page in one of two ways.

Some take a page number. They return data["page"] and data["hasMore"]. Ask for the next number while hasMore is true:

first = stophy.google.search(query="bun runtime")
if first["data"].get("hasMore"):
    second = stophy.google.search(query="bun runtime", page=2)

Others return data["cursor"] when there is more. Pass it back as is:

first = stophy.youtube.search(query="bun runtime")
if first["data"].get("cursor"):
    next_page = stophy.youtube.search(query="bun runtime", cursor=first["data"]["cursor"])

Handle errors

from stophy import StophyError

try:
    stophy.reddit.search(query="bun")
except StophyError as error:
    print(error.code, error.retryable, error.retry_after_seconds)

StophyError has code, retryable, retry_after_seconds, status, and request_id. The message is str(error).

The SDK retries network errors and the HTTP statuses 429, 500, 502, 503, and 504, and it waits as long as the API asks. If the API asks for a wait longer than 60 seconds, the SDK raises right away with retry_after_seconds set.

Options

Option Default What it does
api_key STOPHY_API_KEY Your API key
base_url STOPHY_BASE_URL, or the Stophy API The server to call
max_retries 2 Retries per request. 0 turns retries off.
timeout 30.0 Time limit in seconds for each attempt

Check your account

usage = stophy.usage()
logs = stophy.logs(days=7, page=0)

usage returns your balance and your all-time usage. logs returns your recent requests. Both need an API key.

License

MIT

Metadata

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