Python wrapper for the Intercom API.

Overview

python-intercom

PyPI Version PyPI Downloads Travis CI Build Coverage Status

Not officially supported

Please note that this is NOT an official Intercom SDK. The third party that maintained it reached out to us to note that they were unable to host it any longer. As it was being used by some Intercom customers we offered to host it to allow the current Python community to continue to use it. However, it will not be maintained or updated by Intercom. It is a community maintained SDK. Please see here for the official list of Intercom SDKs

Python bindings for the Intercom API (https://developers.intercom.com/intercom-api-reference).

API Documentation.

Package Documentation.

Upgrading information

Version 3 of python-intercom is not backwards compatible with previous versions.

Version 3 moves away from a global setup approach to the use of an Intercom Client.

Installation

pip install python-intercom

Basic Usage

Configure your client

from intercom.client import Client
intercom = Client(personal_access_token='my_personal_access_token')

Note that certain resources will require an extended scope access token : Setting up Personal Access Tokens

Resources

Resources this API supports:

https://api.intercom.io/users
https://api.intercom.io/contacts
https://api.intercom.io/companies
https://api.intercom.io/counts
https://api.intercom.io/tags
https://api.intercom.io/notes
https://api.intercom.io/segments
https://api.intercom.io/events
https://api.intercom.io/conversations
https://api.intercom.io/messages
https://api.intercom.io/subscriptions
https://api.intercom.io/jobs
https://api.intercom.io/bulk

Examples

Users

# Find user by email
user = intercom.users.find(email="[email protected]")
# Find user by user_id
user = intercom.users.find(user_id="1")
# Find user by id
user = intercom.users.find(id="1")
# Create a user
user = intercom.users.create(email="[email protected]", name="Bob Smith")
# Delete a user
user = intercom.users.find(id="1")
deleted_user = intercom.users.delete(user)
# Update custom_attributes for a user
user.custom_attributes["average_monthly_spend"] = 1234.56
intercom.users.save(user)
# Perform incrementing
user.increment('karma')
intercom.users.save(user)
# Iterate over all users
for user in intercom.users.all():
    ...

Admins

# Iterate over all admins
for admin in intercom.admins.all():
    ...

Companies

# Add a user to one or more companies
user = intercom.users.find(email='[email protected]')
user.companies = [
    {'company_id': 6, 'name': 'Intercom'},
    {'company_id': 9, 'name': 'Test Company'}
]
intercom.users.save(user)
# You can also pass custom attributes within a company as you do this
user.companies = [
    {
        'id': 6,
        'name': 'Intercom',
        'custom_attributes': {
            'referral_source': 'Google'
        }
    }
]
intercom.users.save(user)
# Find a company by company_id
company = intercom.companies.find(company_id='44')
# Find a company by name
company = intercom.companies.find(name='Some company')
# Find a company by id
company = intercom.companies.find(id='41e66f0313708347cb0000d0')
# Update a company
company.name = 'Updated company name'
intercom.companies.save(company)
# Iterate over all companies
for company in intercom.companies.all():
    ...
# Get a list of users in a company
intercom.companies.users(company.id)

Tags

# Tag users
tag = intercom.tags.tag(name='blue', users=[{'email': '[email protected]'}])
# Untag users
intercom.tags.untag(name='blue', users=[{'user_id': '42ea2f1b93891f6a99000427'}])
# Iterate over all tags
for tag in intercom.tags.all():
    ...
# Tag companies
tag = intercom.tags.tag(name='blue', companies=[{'id': '42ea2f1b93891f6a99000427'}])

Segments

# Find a segment
segment = intercom.segments.find(id=segment_id)
# Iterate over all segments
for segment in intercom.segments.all():
    ...

Notes

# Find a note by id
note = intercom.notes.find(id=note)
# Create a note for a user
note = intercom.notes.create(
    body="<p>Text for the note</p>",
    email='[email protected]')
# Iterate over all notes for a user via their email address
for note in intercom.notes.find_all(email='[email protected]'):
    ...
# Iterate over all notes for a user via their user_id
for note in intercom.notes.find_all(user_id='123'):
    ...

Conversations

# FINDING CONVERSATIONS FOR AN ADMIN
# Iterate over all conversations (open and closed) assigned to an admin
for convo in intercom.conversations.find_all(type='admin', id='7'):
    ...
# Iterate over all open conversations assigned to an admin
for convo in intercom.conversations.find_all(type='admin', id=7, open=True):
    ...
# Iterate over closed conversations assigned to an admin
for convo intercom.conversations.find_all(type='admin', id=7, open=False):
    ...
# Iterate over closed conversations for assigned an admin, before a certain
# moment in time
for convo in intercom.conversations.find_all(
        type='admin', id= 7, open= False, before=1374844930):
    ...

# FINDING CONVERSATIONS FOR A USER
# Iterate over all conversations (read + unread, correct) with a user based on
# the users email
for convo in intercom.onversations.find_all(email='[email protected]',type='user'):
    ...
# Iterate over through all conversations (read + unread) with a user based on
# the users email
for convo in intercom.conversations.find_all(
        email='[email protected]', type='user', unread=False):
    ...
# Iterate over all unread conversations with a user based on the users email
for convo in intercom.conversations.find_all(
        email='[email protected]', type='user', unread=true):
    ...

# FINDING A SINGLE CONVERSATION
conversation = intercom.conversations.find(id='1')

# INTERACTING WITH THE PARTS OF A CONVERSATION
# Getting the subject of a part (only applies to email-based conversations)
conversation.rendered_message.subject
# Get the part_type of the first part
conversation.conversation_parts[0].part_type
# Get the body of the second part
conversation.conversation_parts[1].body

# REPLYING TO CONVERSATIONS
# User (identified by email) replies with a comment
intercom.conversations.reply(
    type='user', email='[email protected]',
    message_type='comment', body='foo')
# Admin (identified by email) replies with a comment
intercom.conversations.reply(
    type='admin', email='[email protected]',
    message_type='comment', body='bar')
# User (identified by email) replies with a comment and attachment
intercom.conversations.reply(id=conversation.id, type='user', email='[email protected]', message_type='comment', body='foo', attachment_urls=['http://www.example.com/attachment.jpg'])

# Open
intercom.conversations.open(id=conversation.id, admin_id='123')

# Close
intercom.conversations.close(id=conversation.id, admin_id='123')

# Assign
intercom.conversations.assign(id=conversation.id, admin_id='123', assignee_id='124')

# Reply and Open
intercom.conversations.reply(id=conversation.id, type='admin', admin_id='123', message_type='open', body='bar')

# Reply and Close
intercom.conversations.reply(id=conversation.id, type='admin', admin_id='123', message_type='close', body='bar')

# ASSIGNING CONVERSATIONS TO ADMINS
intercom.conversations.reply(id=conversation.id, type='admin', assignee_id=assignee_admin.id, admin_id=admin.id, message_type='assignment')

# MARKING A CONVERSATION AS READ
intercom.conversations.mark_read(conversation.id)

Full loading of an embedded entity

# Given a conversation with a partial user, load the full user. This can be
# done for any entity
intercom.users.load(conversation.user)

Sending messages

# InApp message from admin to user
intercom.messages.create(**{
    "message_type": "inapp",
    "body": "What's up :)",
    "from": {
        "type": "admin",
        "id": "1234"
    },
    "to": {
        "type": "user",
        "id": "5678"
    }
})

# Email message from admin to user
intercom.messages.create(**{
    "message_type": "email",
    "subject": "Hey there",
    "body": "What's up :)",
    "template": "plain", # or "personal",
    "from": {
        "type": "admin",
        "id": "1234"
    },
    "to": {
        "type": "user",
        "id": "536e564f316c83104c000020"
    }
})

# Message from a user
intercom.messages.create(**{
    "from": {
        "type": "user",
        "id": "536e564f316c83104c000020"
    },
    "body": "halp"
})

# Message from admin to contact
intercom.messages.create(**{
    'body': 'How can I help :)',
    'from': {
        'type': 'admin',
        'id': '1234'
    },
    'to': {
        'type': 'contact',
        'id': '536e5643as316c83104c400671'
    }
})

# Message from a contact
intercom.messages.create(**{
    'from' => {
        'type': 'contact',
        'id': '536e5643as316c83104c400671'
    },
    'body': 'halp'
})

Events

import time

intercom.events.create(
    event_name='invited-friend',
    created_at=int(time.mktime(time.localtime())),
    email=user.email,
    metadata={
        'invitee_email': '[email protected]',
        'invite_code': 'ADDAFRIEND',
        'found_date': 12909364407
    }
)

# Retrieve event list for user with id:'123abc'
intercom.events.find_all(type='user', "intercom_user_id"="123abc)

Metadata Objects support a few simple types that Intercom can present on your behalf

current_user = intercom.users.find(id="1")

intercom.events.create(
    event_name="placed-order",
    email=current_user.email,
    created_at=1403001013,
    metadata={
        'order_date': time.mktime(time.localtime()),
        'stripe_invoice': 'inv_3434343434',
        'order_number': {
            'value': '3434-3434',
            'url': 'https://example.org/orders/3434-3434'
        },
        'price': {
            'currency': 'usd',
            'amount': 2999
        }
    }
)

The metadata key values in the example are treated as follows-

  • order_date: a Date (key ends with '_date').
  • stripe_invoice: The identifier of the Stripe invoice (has a 'stripe_invoice' key)
  • order_number: a Rich Link (value contains 'url' and 'value' keys)
  • price: An Amount in US Dollars (value contains 'amount' and 'currency' keys)

Contacts

Contacts represent logged out users of your application.

# Create a contact
contact = intercom.leads.create(email="[email protected]")

# Update a contact
contact.custom_attributes['foo'] = 'bar'
intercom.leads.save(contact)

# Find contacts by email
contacts = intercom.leads.find_all(email="[email protected]")

# Merge a contact into a user
user = intercom.users.find(id="1")
intercom.leads.convert(contact, user)

# Delete a contact
intercom.leads.delete(contact)

Counts

# App-wide counts
intercom.counts.for_app()

# Users in segment counts
intercom.counts.for_type(type='user', count='segment')

Subscriptions

Subscribe to events in Intercom to receive webhooks.

# create a subscription
intercom.subscriptions.create(url='http://example.com', topics=['user.created'])

# fetch a subscription
intercom.subscriptions.find(id='nsub_123456789')

# list subscriptions
intercom.subscriptions.all():
    ...

Errors

You do not need to deal with the HTTP response from an API call directly. If there is an unsuccessful response then an error that is a subclass of intercom.Error will be raised. If desired, you can get at the http_code of an Error via it's http_code method.

The list of different error subclasses are listed below. As they all inherit off IntercomError you can choose to except IntercomError or the more specific error subclass:

AuthenticationError
ServerError
ServiceUnavailableError
ServiceConnectionError
ResourceNotFound
BadGatewayError
BadRequestError
RateLimitExceeded
MultipleMatchingUsersError
HttpError
UnexpectedError

Rate Limiting

Calling your clients rate_limit_details returns a dict that contains details about your app's current rate limit.

intercom.rate_limit_details
# {'limit': 180, 'remaining': 179, 'reset_at': datetime.datetime(2014, 10, 07, 14, 58)}

Running the Tests

Unit tests:

nosetests tests/unit

Integration tests:

INTERCOM_PERSONAL_ACCESS_TOKEN=xxx nosetests tests/integration
Python + AWS Lambda Hands OnPython + AWS Lambda Hands On

Python + AWS Lambda Hands On Python Criada em 1990, por Guido Van Rossum. "Bala de prata" (quase). Muito utilizado em: Automatizações - Selenium, Beau

Marcelo Ortiz de Santana 8 Sep 09, 2022
Discord E-Store Bot

A delivery bot for Discord, works like Amazon where real users can pack & deliver orders in different servers!

Amit Pathak 2 Jan 28, 2022
Battle.net and PlayStation title watcher that reports updates via Discord.

Renovate Renovate is a Battle.net and PlayStation title watcher that reports updates via Discord. Usage Open config_example.json and provide the confi

Ethan 1 Nov 23, 2022
An alternative launcher for Lunar Client which is aimed at portability and functionality.

Portaluna An alternative launcher for Lunar Client which is aimed at portability and functionality. Features Portable. Lightweight. Functional. Note:

4 Mar 05, 2022
toldium is a modular, fast, reliable and customizable multiplatform bot library for your communities

toldium The easy multiplatform bot toldium is a modular, fast, reliable and customizable multiplatform bot library for your communities, from a commun

Stockdroid Fans 5 Nov 03, 2021
Telephus is a connection pooled, low-level client API for Cassandra in Twisted python.

Telephus Son of Heracles who loved Cassandra. He went a little crazy, at one point. One might almost say he was twisted. Description Telephus is a con

Brandon Williams 93 Apr 29, 2021
Auto Filter Bot V2 With Python

How To Deploy Video Subscribe YouTube Channel Added Features Imdb posters for autofilter. Imdb rating for autofilter. Custom captions for your files.

Milas 2 Mar 25, 2022
scrapes medias, likes, followers, tags and all metadata. Inspired by instagram-php-scraper,bot

instagram_scraper This is a minimalistic Instagram scraper written in Python. It can fetch media, accounts, videos, comments etc. `Comment` and `Like`

sirjoe 2.5k Nov 16, 2022
🤖 A fully featured, easy to use Python wrapper for the Walmart Open API

Wapy Wapy is a fully featured Python wrapper for the Walmart Open API. Features Easy to use, object oriented interface to the Walmart Open API. (Produ

Carlos Roso 43 Oct 14, 2022
Auto like & auto followers facebook

Auto like & auto followers facebook

Fahmi Dev 23 Dec 08, 2022
This Server Cloner can clone the server you want with all the perms of roles in every particular channel.

Server-Cloner-with-perms 🚀 This Server Cloner can clone the server you want with all the perms of roles in every particular channel. Features Clone C

Gripz 0 Feb 17, 2022
A simple script that will watch a stream for you and earn the channel points.

Credits Main idea: https://github.com/gottagofaster236/Twitch-Channel-Points-Miner Bet system (Selenium): https://github.com/ClementRoyer/TwitchAutoCo

Alessandro Maggio 1.1k Jan 08, 2023
A Pluggable And Powerful Telegram Manager Bot

FRIDAY-USERBOT 🇮🇳 A Powerful, Smart And Simple Userbot In Pyrogram. Support 🚑 Inspiration & Credits Userge-X Userge Pokurt Pyrogram Code Owners Chs

DevsExpo 371 Mar 26, 2022
Telegram bot for stream music on telegram, powered by py-tgcalls and Pyrogram

Telegram Streamer Bot Telegram bot for stream music on telegram, powered by py-tgcalls and Pyrogram ✨ Features Coming soon, help me to improve it 🛠 C

Shohih Abdul 11 Oct 21, 2022
A Telegram bot to index Chinese and Japanese group contents, works with @lilydjwg/luoxu.

luoxu-bot luoxu-bot 是类似于 luoxu-web 的 CJK 友好的 Telegram Bot,依赖于 luoxu 所创建的后端。 测试环境 Python 3.7.9 pip 21.1.2 开发中使用到的 Telethon 需要 Python 3+ 配置 前往 luoxu 根据相

TigerBeanst 10 Nov 18, 2022
A Python wrapper for the tesseract-ocr API

tesserocr A simple, Pillow-friendly, wrapper around the tesseract-ocr API for Optical Character Recognition (OCR). tesserocr integrates directly with

Fayez 1.7k Jan 03, 2023
A simple python bot that serves to send some notifications about GitHub events to Slack.

github alerts slack bot 🤖 What is it? 🔍 This is a simple bot that serves to send some notifications about GitHub events to Slack channels. These are

Jackson Alves 10 Dec 10, 2022
Converts between Spotify's new lyrics (and their proprietary format) to an LRC file for local playback.

spotify-lyrics-to-lrc Converts between Spotify's new lyrics (and their proprietary format) to an LRC file for local playback. How to use: Open Spotify

~noah~ 6 Nov 19, 2022
OGE-2022-na-Python - Solving problems in python for the OGE 2022

OGE-2022-na-Python Решение задачек на питоне для ОГЭ 2022 Тут разобраны разные в

Slava 0 Oct 14, 2022
Verkehrsunfälle in Deutschland, aufgeschlüsselt nach Verkehrsmittel des Hauptverursachers und Nebenverursachers

How-To Einfach ./main.py ausführen mit der Statistik-Datei aus dem Ordner "Unfälle_mit_mehreren_Beteiligten" als erstem Argument. Requirements python,

4 Oct 12, 2022