streetlevel

streetlevel is a library for downloading panoramas and metadata from street-level imagery services such as Google Street View, Apple Look Around, and several others. It provides a simple abstraction over the internal APIs of the supported services – this means that no API keys are required, but the library may break unexpectedly.

(Nearly) all functions are available as either a sync function using requests or an async function using aiohttp, requiring a ClientSession.

Installation

streetlevel is available on PyPI:

pip install streetlevel

macOS users may need to install additional dependencies:

brew install gettext
brew install inih

Example

Downloading the closest Google Street View panorama to a specific location, sync:

from streetlevel import streetview

pano = streetview.find_panorama(46.883958, 12.169002)
streetview.download_panorama(pano, f"{pano.id}.jpg")

Or async:

from streetlevel import streetview
from aiohttp import ClientSession

async with ClientSession() as session:
    pano = await streetview.find_panorama_async(46.883958, 12.169002, session)
    await streetview.download_panorama_async(pano, f"{pano.id}.jpg", session)

Documentation

Documentation is available at streetlevel.readthedocs.io.

Functionality overview

Services covering multiple countries are on the left; services covering one specific country are on the right.

✔ implemented / available; 🟡 partially implemented; ❌ not implemented; ⚫ not available / not applicable

	Google Street View	Apple Look Around	Yandex Panorama	Bing Streetside	🇨🇳 Baidu Panorama	🇰🇷 Kakao Road View	🇰🇷 Naver Street View	🇨🇿 Mapy.cz Panorama	🇮🇸 Já 360
Finding panoramas How panoramas can be retrieved through the API.
Find panoramas around a point	✔¹	⚫	✔¹	✔	✔¹	✔	✔¹	✔¹	✔¹
Find panoramas by map tile or bbox	✔²	✔²	⚫	✔³	⚫	⚫	⚫	⚫	⚫
Get specific panorama by ID	✔	⚫	✔	✔	✔	✔	✔	✔	✔
Imagery The type of imagery returned by the service.
Panoramas	✔	✔⁴	✔	✔	✔	✔	✔	✔	✔
Depth	✔⁵	❌	⚫	⚫	❌?¹⁰	✔	✔¹⁴	⚫	⚫
Image projection	Equirectangular	???	Equirectangular	Cubemap	Equirectangular	Equirectangular	Equirectangular/Cubemap¹³	Equirectangular	Cubemap
Image format	JPEG	HEIC	JPEG	JPEG	JPEG	JPEG	JPEG	JPEG	JPEG
Available metadata Metadata returned by the API of the service alongside ID and location.
Capture date	✔⁶	✔	✔	✔	✔	✔	✔	✔	✔⁹
Heading, pitch, roll	✔	✔	✔⁷	✔	✔	✔⁷	✔¹¹	✔	✔⁷
Elevation	✔	✔	⚫	✔	✔	⚫	⚫¹²	✔	⚫
Nearby / linked panoramas	✔	⚫	✔	✔⁸	✔	✔	✔	✔	✔
Historical panoramas	✔	⚫	✔	⚫	✔	✔	✔	✔	⚫
Address	✔	⚫	✔	⚫	⚫	✔	✔	⚫	✔
PoIs	✔	❌	✔	⚫	⚫	❌	❌	⚫	⚫
Creator	✔	⚫	✔	⚫	✔	⚫	⚫	✔	⚫

1: Returns closest only
2: Tile, z=17
3: Bounding box
4: Unstitched
5: Appears to be a synthetic depth map created from elevation data and building footprints
6: Month and year only for official coverage, full date for inofficial coverage
7: Only heading; pitch/roll do not appear to be available
8: Previous and next image in sequence
9: Month and year only
10: There is a has_depth field in the raw metadata, but I've yet to find a panorama that actually has depth
11: Pitch/roll are only available for the new 3D imagery
12: Camera altitude is available, however
13: 3D imagery panos have both an equirectangular and a cubemap version; everything else is only available as cubemap
14: Non-3D imagery appears to use a synthetic depthmap created from elevation data and building footprints

Development Status
- 4 - Beta
License
- OSI Approved :: MIT License
Operating System
- OS Independent
Programming Language
- Python :: 3
Topic
- Scientific/Engineering :: GIS

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