Skip to main content

Amazon Photos API

Project description

Amazon Photos API

Table of Contents

Installation

pip install amazon-photos

Setup

These environment variables must be set. They correspond to cookies found in the browser when logged into Amazon Photos.

export SESSION_ID="..."
export UBID_ACDCA="..."
export AT_ACBCA="..."

Query Syntax

For valid location and people IDs, see the results from the aggregations() method.

Example query:

drive/v1/search

type:(PHOTOS OR VIDEOS)
AND things:(plant AND beach OR moon)
AND timeYear:(2019)
AND timeMonth:(7)
AND timeDay:(1)
AND location:(CAN#BC#Vancouver)
AND people:(CyChdySYdfj7DHsjdSHdy)

/drive/v1/nodes

kind:(FILE* OR FOLDER*)
AND contentProperties.contentType:(image* OR video*)
AND status:(AVAILABLE*)
AND settings.hidden:false
AND favorite:(true)

Examples

from pathlib import Path
from amazon_photos import AmazonPhotos

ap = AmazonPhotos()

# get entire Amazon Photos library. (default save to `ap.parquet`)
nodes = ap.query("type:(PHOTOS OR VIDEOS)")

# query Amazon Photos library with more filters applied. (default save to `ap.parquet`)
nodes = ap.query("type:(PHOTOS OR VIDEOS) AND things:(plant AND beach OR moon) AND timeYear:(2023) AND timeMonth:(8) AND timeDay:(14) AND location:(CAN#BC#Vancouver)")

# sample first 10 nodes
node_ids = nodes.id[:10]

# move a batch of images/videos to the trash bin
ap.trash(node_ids)

# restore a batch of images/videos from the trash bin
ap.restore(node_ids)

# upload a batch of images/videos
files = Path('path/to/files').iterdir()
ap.upload(files)

# download a batch of images/videos
ap.download(node_ids)

# permanently delete a batch of images/videos.
ap.delete(node_ids)

# convenience method to get all photos
ap.photos()

# convenience method to get all videos
ap.videos()

# get current usage stats
ap.usage()

# get all identifiers calculated by Amazon.
ap.aggregations(category="all")

# get specific identifiers calculated by Amazon.
ap.aggregations(category="location")

# get trash bin contents
ap.trashed()

Common Paramters

name type description
ContentType str "JSON"
_ int 1690059771064
asset str "ALL"
"MOBILE"
"NONE
"DESKTOP"

default: "ALL"
filters str "type:(PHOTOS OR VIDEOS) AND things:(plant AND beach OR moon) AND timeYear:(2019) AND timeMonth:(7) AND location:(CAN#BC#Vancouver) AND people:(CyChdySYdfj7DHsjdSHdy)"

default: "type:(PHOTOS OR VIDEOS)"
groupByForTime str "day"
"month"
"year"
limit int 200
lowResThumbnail str "true"
"false"

default: "true"
resourceVersion str "V2"
searchContext str "customer"
"all"
"unknown"
"family"
"groups"

default: "customer"
sort str "['contentProperties.contentDate DESC']"
"['contentProperties.contentDate ASC']"
"['createdDate DESC']"
"['createdDate ASC']"
"['name DESC']"
"['name ASC']"

default: "['contentProperties.contentDate DESC']"
tempLink str "false"
"true"

default: "false"

Notes

https://www.amazon.ca/drive/v1/batchLink

  • This endpoint is called when downloading a batch of photos/videos in the web interface. It then returns a URL to download a zip file, then makes a request to that url to download the content. When making a request to download data for 1200 nodes (max batch size), it turns out to be much slower (~2.5 minutes) than asynchronously downloading 1200 photos/videos individually (~1 minute).

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

amazon-photos-0.0.17.tar.gz (12.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

amazon_photos-0.0.17-py3-none-any.whl (11.6 kB view details)

Uploaded Python 3

File details

Details for the file amazon-photos-0.0.17.tar.gz.

File metadata

  • Download URL: amazon-photos-0.0.17.tar.gz
  • Upload date:
  • Size: 12.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for amazon-photos-0.0.17.tar.gz
Algorithm Hash digest
SHA256 c6870df98065f5067242db08d0cb8a1a1ec48f04f68365f9817a45dbcbfeefee
MD5 0d661d780fde8b4dad6adaf25805f45b
BLAKE2b-256 bdf27740087654737878bfad52cb6f4c63f60a9f310c61653b35ff5c27976292

See more details on using hashes here.

File details

Details for the file amazon_photos-0.0.17-py3-none-any.whl.

File metadata

  • Download URL: amazon_photos-0.0.17-py3-none-any.whl
  • Upload date:
  • Size: 11.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.4

File hashes

Hashes for amazon_photos-0.0.17-py3-none-any.whl
Algorithm Hash digest
SHA256 fa5b63da5dc3d9f5b30e9689f0dfb3ea4d66876557a424e152ab075cd2dbe9d5
MD5 299f867ea5ecb0f92ab24a77bd59976d
BLAKE2b-256 e786f4b4c678cd4b4ea74350acdb8fc4e7d0d8434ca2ca6a53a58143d8ed1ff5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page