pexafy-python

Python client for the Pexafy image search API. Search a catalogue of free stock photos by describing what you want, or by handing it an image to match.

pip install pexafy

Getting started

from pexafy import Client

client = Client("your-api-key")

for photo in client.search("a quiet street in the rain", per_page=5):
    print(photo.urls.regular, "-", photo.alt_text)

The key comes from your dashboard; the free tier does not ask for a card. If you would rather not put it in the code, the client picks up PEXAFY_API_KEY from the environment.

Writing queries

Search runs on meaning, not keywords, so full sentences work better than a pile of nouns. two people hiking on a ridge at dawn finds what you would expect; hiking dawn people gives you a worse ranking, because you have thrown away the relationships between the words.

Filters narrow the result set after the semantic match:

result = client.search(
    "an empty office at night",
    orientation="landscape",
    color_name="blue",
    source=["Pexels", "Unsplash"],
    per_page=20,
)

print(len(result), "photos in", result.took_ms, "ms")

List filters accept either a list or a comma separated string.

Paging

A single call returns one page. iter_search follows the cursor for you and yields photos until the results run out or you have seen enough:

for photo in client.iter_search("vintage typewriter", max_results=200):
    download(photo.urls.large)

Search by image

Pass a path, raw bytes, or an open file:

similar = client.search_by_image("moodboard/reference.jpg", per_page=12)

If you already have a photo id, client.similar(photo_id) is cheaper — the image does not have to be uploaded and encoded again.

Async

The same surface, awaitable:

import asyncio
from pexafy import AsyncClient

async def main():
    async with AsyncClient() as client:
        pages = await asyncio.gather(
            client.search("desert road"),
            client.search("snow covered pines"),
        )
    for page in pages:
        print(len(page))

asyncio.run(main())

Errors

Everything raised inherits from PexafyError. The ones worth catching separately:

from pexafy import errors

try:
    client.search("...")
except errors.RateLimitError as exc:
    time.sleep(exc.retry_after or 60)
except errors.AuthenticationError:
    ...          # key is missing, malformed or revoked
except errors.APIError as exc:
    print(exc.status_code, exc.code, exc.request_id)

request_id is worth logging. It is the fastest way to get an answer if you need to ask about a specific call.

Timeouts and 5xx responses are retried twice with backoff, and Retry-After is honoured when the server sends it. Set max_retries=0 if you would rather handle that yourself.

Command line

$ pexafy search "morning fog over pine trees" -n 3
0.847  019e0eb8-b028-73cb-9296-dfa70f557bc9   4000x2667   green      Pexels     https://...
0.812  019e4c9b-3022-7660-b43d-e730b8435f24   6000x4000   green      Unsplash   https://...
0.798  019e4f39-66d4-7ef2-bc9b-eb5340fd243e   3648x5472   grey       Pexels     https://...

pexafy photo <id>, pexafy similar <id> and pexafy usage are also there. Add --json to any of them for the raw response.

Attribution

Photos come from several providers with different licence terms. Every photo carries an attribution object with a ready made credit line:

photo.attribution.plain   # Photo by J. Doe
photo.attribution.html    # <a href="...">J. Doe</a>

Check photo.license_type if your use depends on it.

Reference

Full API documentation is at docs.pexafy.com.

Requirements

Python 3.9 or newer. The only dependency is httpx.

Licence

MIT.