Unofficial Python 3 client for Notion.so API v3.
- Object-oriented interface (mapping database tables to Python classes/attributes)
- Automatic conversion between internal Notion formats and appropriate Python objects
- Local cache of data in a unified data store
- Real-time reactive two-way data binding (changing Python object -> live updating of Notion UI, and vice-versa)
- Callback system for responding to changes in Notion (e.g. for triggering actions, updating another API, etc)
Read more about Notion and Notion-py on Jamie's blog
Note: the latest version of notion-py requires Python 3.5 or greater.
pip install notion
from notion.client import NotionClient
# Obtain the `token_v2` value by inspecting your browser cookies on a logged-in session on Notion.so
client = NotionClient(token_v2="<token_v2>")
# Replace this URL with the URL of the page you want to edit
page = client.get_block("https://www.notion.so/myorg/Test-c0d20a71c0944985ae96e661ccc99821")
print("The old title is:", page.title)
# Note: You can use Markdown! We convert on-the-fly to Notion's internal formatted text data structure.
page.title = "The title has now changed, and has *live-updated* in the browser!"
- We map tables in the Notion database into Python classes (subclassing
Record
), with each instance of a class representing a particular record. Some fields from the records (liketitle
in the example above) have been mapped to model properties, allowing for easy, instantaneous read/write of the record. Other fields can be read with theget
method, and written with theset
method, but then you'll need to make sure to match the internal structures exactly. - The tables we currently support are block (via
Block
class and its subclasses, corresponding to differenttype
of blocks), space (viaSpace
class), collection (viaCollection
class), collection_view (viaCollectionView
and subclasses), and notion_user (viaUser
class). - Data for all tables are stored in a central
RecordStore
, with theRecord
instances not storing state internally, but always referring to the data in the centralRecordStore
. Many API operations return updating versions of a large number of associated records, which we use to update the store, so the data inRecord
instances may sometimes update without being explicitly requested. You can also call therefresh
method on aRecord
to trigger an update, or passforce_update
to methods likeget
. - The API doesn't have strong validation of most data, so be careful to maintain the structures Notion is expecting. You can view the full internal structure of a record by calling
myrecord.get()
with no arguments. - When you call
client.get_block
, you can pass in either an ID, or the URL of a page. Note that pages themselves are justblocks
, as are all the chunks of content on the page. You can get the URL for a block within a page by clicking "Copy Link" in the context menu for the block, and pass that URL intoget_block
as well.
We keep a local cache of all data that passes through. When you reference an attribute on a Record
, we first look to that cache to retrieve the value. If it doesn't find it, it retrieves it from the server. You can also manually refresh the data for a Record
by calling the refresh
method on it. By default (unless we instantiate NotionClient
with monitor=False
), we also subscribe to long-polling updates for any instantiated Record
, so the local cache data for these Records
should be automatically live-updated shortly after any data changes on the server. The long-polling happens in a background daemon thread.
for child in page.children:
print(child.title)
print("Parent of {} is {}".format(page.id, page.parent.id))
from notion.block import TodoBlock
newchild = page.children.add_new(TodoBlock, title="Something to get done")
newchild.checked = True
# soft-delete
page.remove()
# hard-delete
page.remove(permanently=True)
from notion.block import VideoBlock
video = page.children.add_new(VideoBlock, width=200)
# sets "property.source" to the URL, and "format.display_source" to the embedly-converted URL
video.set_source_url("https://www.youtube.com/watch?v=oHg5SJYRHA0")
# move my block to after the video
my_block.move_to(video, "after")
# move my block to the end of otherblock's children
my_block.move_to(otherblock, "last-child")
# (you can also use "before" and "first-child")
We can "watch" a Record
so that we get a callback whenever it changes. Combined with the live-updating of records based on long-polling, this allows for a "reactive" design, where actions in our local application can be triggered in response to interactions with the Notion interface.
# define a callback (note: all arguments are optional, just include the ones you care about)
def my_callback(record, difference):
print("The record's title is now:" record.title)
print("Here's what was changed:")
print(difference)
# move my block to after the video
my_block.add_callback(my_callback)
Here's how things fit together:
- Main container block:
CollectionViewBlock
(inline) /CollectionViewPageBlock
(full-page)Collection
(holds the schema, and is parent to the database rows themselves)CollectionRowBlock
CollectionRowBlock
- ... (more database records)
CollectionView
(holds filters/sort/etc about each specific view)
Note: For convenience, we automatically map the database "columns" (aka properties), based on the schema defined in the Collection
, into getter/setter attributes on the CollectionRowBlock
instances. The attribute name is a "slugified" version of the name of the column. So if you have a column named "Estimated value", you can read and write it via myrowblock.estimated_value
. Some basic validation may be conducted, and it will be converted into the appropriate internal format. For columns of type "Person", we expect a User
instance, or a list of them, and for a "Relation" we expect a singular/list of instances of a subclass of Block
.
# Access a database using the URL of the database page or the inline block
cv = client.get_collection_view("https://www.notion.so/myorg/8511b9fc522249f79b90768b832599cc?v=8dee2a54f6b64cb296c83328adba78e1")
# List all the records with "Bob" in them
for row in cv.collection.get_rows(search="Bob"):
print("We estimate the value of '{}' at {}".format(row.name, row.estimated_value))
# Add a new record
row = cv.collection.add_row()
row.name = "Just some data"
row.is_confirmed = True
row.estimated_value = 399
row.files = ["https://www.birdlife.org/sites/default/files/styles/1600/public/slide.jpg"]
row.person = client.current_user
row.tags = ["A", "C"]
row.where_to = "https://learningequality.org"
# Run a filtered/sorted query using a view's default parameters
result = cv.default_query().execute()
for row in result:
print(row)
# Run an "aggregation" query
aggregate_params = [{
"property": "estimated_value",
"aggregation_type": "sum",
"id": "total_value",
}]
result = cv.build_query(aggregate=aggregate_params).execute()
print("Total estimated value:", result.get_aggregate("total_value"))
# Run a "filtered" query
filter_params = [{
"property": "assigned_to",
"comparator": "enum_contains",
"value": client.current_user,
}]
result = cv.build_query(filter=filter_params).execute()
print("Things assigned to me:", result)
# Run a "sorted" query
sort_params = [{
"direction": "descending",
"property": "estimated_value",
}]
result = cv.build_query(sort=sort_params).execute()
print("Sorted results, showing most valuable first:", result)
Note: You can combine filter
, aggregate
, and sort
. See more examples of queries by setting up complex views in Notion, and then inspecting cv.get("query")
You can also see more examples in action in the smoke test runner.
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- Cloning pages hierarchically
- Debounce cache-saving?
- Support inline "user" and "page" links, and reminders, in markdown conversion
- Utilities to support updating/creating collection schemas
- Utilities to support updating/creating collection_view queries
- Support for easily managing page permissions
- Websocket support for live block cache updating
- "Render full page to markdown" mode
- "Import page from html" mode