sv-dlp 2024.1.5

Flexible Street View API Wrapper for Python

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sv-dlp is a powerful API Wrapper for Street View platforms, as it simplifies downloading panoramic images, fetching metadata, and creating short URLs. sv-dlp offers extensive internal functionality, including metadata extraction and panorama stitching. It's highly adaptable, allowing developers to integrate it into their projects.

This project has been made for educational purposes and all content scraped from is owned by their respective authors.

For detailed documentation and usage examples, please refer to the official documentation.

Warning

Please note that sv-dlp relies on reverse-engineered APIs, so its functionality may depend on API stability. If you encounter issues, report them with the "Dead API" label for a prompt resolution. Additionally, respect service limitations, and rest assured that we're committed to keeping sv-dlp up to date and running smoothly for all supported platforms.

Features

• Download Panoramas
  • A panorama ID, a coordinate or a short URL can be parsed
    • [Google] Radius can be parsed if input is coordinates
  • Is multithreaded; each panorama tile row is in different threads for faster downloads
  • Saves individual tiles if --save-tiles is parsed
  • Download from .csv/.json files
• Fully print metadata
  • Coords, Date, Panorama ID and Gen can be printed separately
• Coordinates and short URLs are automatically turned to Panorama IDs
• Short links with a Panorama ID or coordinates

Services

Service	Progress	Notes
Google	99%	Zoom 5 only obtains a portion of the face.
Baidu	99%	Translation between BD09MC and WGS84 is innacurate.
Naver	99%	Short Link function does not use its appropiate API call.
Yandex	99%	Short Link function does not use the shortenPath API call.
Apple	95%	Misc features not supported; can only obtain metadata by coords - credit to sk-zk & retroplasma
Bing	95%	Misc features not implemented; can only obtain metadata by coords - credit to sk-zk

Installation

To install sv-dlp, download it via PIP, as long as Python >3.10 is installed

$ pip install sv_dlp
$ sv-dlp

Manual

If you prefer using a binary instead, check out the binaries here and add them to your PATH folder. Check out this Windows Guide for more information if you're not familiar with it.

Getting Started

sv_dlp's features are contained within a class for syntax convenience, so to begin import the module and declare a variable of the class

import sv_dlp
sv_dlp = sv_dlp.sv_dlp()

Notes

• Whenever you call any function that is relating to downloading, or translating coordinates to Panorama ID, self.get_metadata() is called within that function, therefore it is allocated in self.metadata. If you plan on tinkering with the metadata, it is is recommended to call self_get_metadata() first before calling any other function for syntax readibility.
• Metadata is returned as a MetadataStructure object. If you wish to use a dictionary instead, consider using the .dict() method
• If you wish to call a function with a different service than google, please use self.set_service() first before doing anything - input must be lowercase

Downloading

To download panorama directly from coordinates:

pano_img = sv_dlp.download_panorama(lat=6.603079535799973, lng=-73.99819681137278)
sv_dlp.postdownload.save_panorama(pano_img, sv_dlp.metadata)

To download panorama directly from Panorama ID:

pano_id = sv_dlp.get_pano_id(lat=6.603079535799973, lng=-73.99819681137278)

pano_img = sv_dlp.download_panorama(pano_id)
sv_dlp.postdownload.save_panorama(pano_img, sv_dlp.metadata)

To download panorama directly from metadata:

metadata = sv_dlp.get_metadata(lat=6.603079535799973, lng=-73.99819681137278)

pano_img = sv_dlp.download_panorama(metadata.pano_id, zoom=max)
sv_dlp.postdownload.save_panorama(pano_img, metadata)

To download tiles individually:

pano, tiles = sv_dlp.download_panorama("YV7i9WYmvPqT5nEtFLq3SA")
sv_dlp.postdownload.save_tiles(tiles, sv_dlp.metadata)

You can also pass a single variable to sv_dlp.download_panorama, as postdownload will automatically determine if it holds the panorama and tiles.

Metadata Tinkering

To obtain older and linked panoramas from given location:

metadata = sv_dlp.get_metadata(lat=6.603079535799973, lng=-73.99819681137278, get_linked_panos=True)

for pano in metadata.timeline:
    print(pano)
for pano in metadata.linked_panos:
    print(pano)

To obtain a panorama's date:

metadata = sv_dlp.get_metadata(lat=6.603079535799973, lng=-73.99819681137278)

date = metadata.date
print(date)

FAQ

Metadata is being returned as a MetadataStrucutre object. Any other way to access it?

Yes! You can use the .dict() method to retrieve the metadata as a dictionary instead.

Why aren't all my coordinates from .csv downloading?

Depending on how close the given coordinates are, it'll download the same panorama ID no matter the difference. It's recommended to use .json or .csv with panorama IDs instead.

Can X Service be added?

Depending on how accesible it is scraping-wise, yes. Feel free to submit in an issue about the specific service and I'll gladly see what I can do about it. If you're a developer though, refer to the next question.

I'm a developer and I want to add X service or improve the code. Can I?

Sure! You're welcome to submit in a pull request as long as its to improve this program, such as improving performance, fixing a bug, adding a service, etc. For those who want to add a service, check out the documentation for it.

License

MIT