amazon-photos 0.0.44

Amazon Photos API

Amazon Photos API

Table of Contents

• Installation
• Setup
• Query Syntax
• Examples

It is recommended to use this API in a Jupyter Notebook, as the results from most endpoints are a DataFrame which can be neatly displayed in a notebook, and efficiently manipulated with vectorized operations. This becomes increasingly important when dealing with large quantities of data.

Installation

pip install amazon-photos

Setup

There are two ways to set up authentication. The first is to pass the cookies explicitly to the AmazonPhotos constructor, the second is to add your cookies as environment variables.

Log in to Amazon Photos and copy the cookies:

• *ubid-acbxx
• *at-acbxx
• session-id

*Replace xx with your country code

Option 1: Cookies Dict

from amazon_photos import AmazonPhotos

ap = AmazonPhotos(
    cookies={
        'ubid-acbca':...,
        'at-acbca': ...,
        'session-id': ...,
    },
    # optionally cache directory tree 
    cache_path='ap.cache',
    use_cache=True,
)

# sanity check, verify authenticated endpoint can be reached
ap.usage()

Option 2: Environment Variables

E.g. for amazon.ca (Canada), you would add to your ~/.bashrc:

export session_id="..."
export ubid_acbca="..."
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

A database named ap.parquet will be created during the initial setup. This is mainly used to reduce 409 errors (upload conflicts) by checking your local file(s) md5 against the database before sending the request.

from amazon_photos import AmazonPhotos

## e.g. using cookies dict
ap = AmazonPhotos(
    cookies={
        'ubid-acbca':...,
        'at-acbca': ...,
        'session-id': ...,
    },
    # optionally cache directory tree 
    cache_path='ap.cache',
    use_cache=True,
)

## e.g. using env variables and specifying tld. E.g. amazon.ca (Canada)
# ap = AmazonPhotos(tld="ca")

# get current usage stats
ap.usage()

# 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)

# get trash bin contents
ap.trashed()

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

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

# upload media (preserves local directory structure and copies to Amazon Photos root directory)
ap.upload('path/to/files')

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

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

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

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

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

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"

Offical Docs (before 2018)

FieldName	FieldType	Sort Allowed	Notes
isRoot	Boolean		Only lower case "true" is supported.
name	String	Yes	This field does an exact match on the name and prefix query. Consider node1{ "name" : "sample" } node2 { "name" : "sample1" } Query filter name:sample will return node1 name:sample* will return node1 and node2
kind	String	Yes	To search for all the nodes which contains kind as FILE kind:FILE
modifiedDate	Date (in ISO8601 Format)	Yes	To Search for all the nodes which has modified from time modifiedDate:{"2014-12-31T23:59:59.000Z" TO *]
createdDate	Date (in ISO8601 Format)	Yes	To Search for all the nodes created on createdDate:2014-12-31T23:59:59.000Z
labels	String Array		Only Equality can be tested with arrays. if labels contains ["name", "test", "sample"]. Label can be searched for name or combination of values. To get all the labels which contain name and test labels: (name AND test)
description	String		To Search all the nodes for description with value 'test' description:test
parents	String Array		Only Equality can be tested with arrays. if parents contains ["id1", "id2", "id3"]. Parent can be searched for name or combination of values. To get all the parents which contains id1 and id2 parents:id1 AND parents:id2
status	String	Yes	For searching nodes with AVAILABLE status. status:AVAILABLE
contentProperties.size	Long	Yes
contentProperties.contentType	String	Yes	If prefix query, only the major content-type (e.g. image*, video*, etc.) is supported as a prefix.
contentProperties.md5	String
contentProperties.contentDate	Date (in ISO8601 Format)	Yes	RangeQueries and equals queries can be used with this field
contentProperties.extension	String	Yes

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).

Known File Types

Extension	Category
.pdf	pdf
.doc	doc
.docx	doc
.docm	doc
.dot	doc
.dotx	doc
.dotm	doc
.asd	doc
.cnv	doc
.mp3	mp3
.m4a	mp3
.m4b	mp3
.m4p	mp3
.wav	mp3
.aac	mp3
.aif	mp3
.mpa	mp3
.wma	mp3
.flac	mp3
.mid	mp3
.ogg	mp3
.xls	xls
.xlm	xls
.xll	xls
.xlc	xls
.xar	xls
.xla	xls
.xlb	xls
.xlsb	xls
.xlsm	xls
.xlsx	xls
.xlt	xls
.xltm	xls
.xltx	xls
.xlw	xls
.ppt	ppt
.pptx	ppt
.ppa	ppt
.ppam	ppt
.pptm	ppt
.pps	ppt
.ppsm	ppt
.ppsx	ppt
.pot	ppt
.potm	ppt
.potx	ppt
.sldm	ppt
.sldx	ppt
.txt	txt
.text	txt
.rtf	txt
.xml	markup
.htm	markup
.html	markup
.zip	zip
.rar	zip
.7z	zip
.jpg	img
.jpeg	img
.png	img
.bmp	img
.gif	img
.tif	img
.svg	img
.mp4	vid
.m4v	vid
.qt	vid
.mov	vid
.mpg	vid
.mpeg	vid
.3g2	vid
.3gp	vid
.flv	vid
.f4v	vid
.asf	vid
.avi	vid
.wmv	vid
.swf	exe
.exe	exe
.dll	exe
.ax	exe
.ocx	exe
.rpm	exe