conductor-api 2.1.0

A client to assist in connecting with the Conductor API

conductor-api-client-python

The Conductor API Client is a Python package that makes it easy to authenticate with and retrieve data from the Conductor API.

Getting Started

Installation

The latest released version can be installed through the Python package index.

pip install conductor-api

Dependencies

• Requests: 2.19.1 or higher

Authentication

The Conductor API Client needs to know your API Key and API Secret to authenticate with Conductor. It can find these in one of two ways:

• Add the credentials to your environmental variables (preferred)
  • MacOS / Linux: Edit your .bash_profile to include the lines
    • export CONDUCTOR_API_KEY=xxxxx
    • export CONDUCTOR_SHARED_SECRET=xxxxx
  • Windows: Add CONDUCTOR_API_KEY and CONDUCTOR_SHARED_SECRET in the Environment Variables in the Advanced system settings
• Pass the credentials when instantiating the API Client from conductor_api.client import AccountService account_service = AccountService(api_key=xxxxx, secret=xxxxx)

To access your API Key and Secret please navigate to the Settings section in the Conductor platform or reach out to Conductor Support

Using conductor_api

The Conductor API Package has two main functionalities: client and analysis

• client provides an SDK around the Conductor REST API, making it easy to request the data that you need from your accounts.
• analysis includes functions for aggregating data (Rank and Search Volume) using the Conductor API.

Examples

Client

ConductorService

The ConductorService client provides wrappers for getting Conductor and profile configuration data

from conductor_api import client

# instantiate Conductor client
cs = client.ConductorService(api_key="xxxxxxx", secret="xxxxxx")
# Retrieve all Conductor accounts you have access to.
# You can use this to retrieve Account IDs to instantiate the AccountService client

my_accounts = cs.get_accounts()
print(my_accounts)
[{'accountId': 'XXXX',
  'isActive': False,
  'name': 'Account 1',
  'webProperties': 'https://api.conductor.com/v3/accounts/XXXX/web-properties'},
 {'accountId': 'YYYY',
  'isActive': True,
  'name': 'Account 2',
  'webProperties': 'https://api.conductor.com/v3/accounts/YYYY/web-properties'}]

# Account IDs can also be found in Conductor URLs: https://api.conductor.com/YYYY/insight-stream

In Conductor, keywords can be tracked across different Rank Sources (or Search Engines), Locations and Devices. You can retrieve what's supported with the following:

rank_sources = cs.get_rank_sources()
locations = cs.get_locations()
devices = cs.get_devices()

AccountService

The AccountService client provides functionality for retrieving reporting data from Conductor accounts, while retaining all the functionality found in the ConductorService client. A Conductor account id is required upon instantiation.

from conductor_api import client
# instantiate the AccountService client
account_service = client.AccountService(YYYY, api_key="xxxxxxx", secret="xxxxxx")
# retrieve all web properties tracked in the account
web_properties = account_service.get_web_properties()

web_property_id = web_properties[0]['webPropertyId']

# the web_property_id can be used to get the name of the corresponding domain
domain_name = account_service.get_domain_name(web_property_id)

# use the web_property_id to get all tracked searches in the account
tracked_searches = account_service.get_tracked_searches(web_property_id)

# get a rank_source_id that the web_property is tracked against
rank_source_id = web_properties[0]['rankSourceInfo'][0]['rankSourceId']

# retrieve rank data for searches tracked against a web property and rank source for a given date within a reporting interval.
# by default the current date is used.
ranks = account_service.get_ranks(web_property_id, rank_source_id, date='2019-01-12', reportingDuration='WEEK', skip=0, limit=1000)

# retrieve search volume data for searches tracked against a web property and rank source for a given date within a reporting interval.
# by default the current date is used.
search_volume = account_service.get_volume(web_property_id, rank_source_id, date='2019-01-12')

Analysis

Analysis allows you to use the AccountService client to aggregate reporting data across an entire account for a given date.

from conductor_api.client import AccountService
from conductor_api import analysis

account_service = AccountService(YYYY, api_key="xxxxxxx", secret="xxxxxx")

rank_data = analysis.rank_data(account_service, date='2019-01-12', reportingDuration='WEEK')
search_volume = analysis.search_volume(account_service)

Using Pandas with Conductor API Client

from conductor_api import client, analysis
import pandas as pd

# instantiate AccountService object
account_service = client.AccountService(YYYY, api_key="xxxxxxx", secret="xxxxxx")

# get rank sources, locations and devices and turn to dfs
rank_source_df = pd.DataFrame(account_service.get_rank_sources())
location_df = pd.DataFrame(account_service.get_locations())
device_df = pd.DataFrame(account_service.get_devices())

# get the tracked searches and turn into a df
tracked_search_df = pd.DataFrame(analysis.all_tracked_searches(account_service))

# turn search_volume and rank_data to Data Frames
search_volume_df = pd.DataFrame(analysis.search_volume(account_service))
rank_data_df = pd.DataFrame(analysis.rank_data(account_service))

report = pd.merge(rank_data_df, search_volume_df, on=['trackedSearchId', 'rankSourceId', 'webPropertyId'])
report = report.merge(rank_source_df, on='rankSourceId', how='left')
print(report.head())
       itemType rankSourceId  standardRank target           targetDomainName  \
0    ANSWER_BOX            1           3.0                        example.com
1  IMAGE_RESULT            1           NaN                        example.com
2  LOCAL_RESULT            1           NaN         www.organiccompetitor.com
3  LOCAL_RESULT            1           NaN         www.organiccompetitor.com
4  LOCAL_RESULT            1           NaN         www.organiccompetitor.com
                                           targetUrl  targetWebPropertyId  \
0  https://www.example.com/subfolder1/             43162.0
1  https://www.example.com/subfolder2/...             43162.0
2  http://www.organiccompetitor.com/subfolder...                 NaN
3  http://www.organiccompetitor.com/subfolder/...                 NaN
4  http://www.organiccompetitor.com/subfolder/...                 NaN
   trackedSearchId  trueRank webPropertyId  averageVolume  \
0          7188291         6         43162         135000
1          7188291        62         43162         135000
2          7188291         4         43162         135000
3          7188291         2         43162         135000
4          7188291         3         43162         135000
                                         volumeItems  baseDomain  \
0  [{'volume': 165000, 'month': 11, 'year': 2018}...  google.com
1  [{'volume': 165000, 'month': 11, 'year': 2018}...  google.com
2  [{'volume': 165000, 'month': 11, 'year': 2018}...  google.com
3  [{'volume': 165000, 'month': 11, 'year': 2018}...  google.com
4  [{'volume': 165000, 'month': 11, 'year': 2018}...  google.com
             description          name deviceId  isActive locationId  \
0  Google (US / English)  GOOGLE_EN_US        1      True          1
1  Google (US / English)  GOOGLE_EN_US        1      True          1
2  Google (US / English)  GOOGLE_EN_US        1      True          1
3  Google (US / English)  GOOGLE_EN_US        1      True          1
4  Google (US / English)  GOOGLE_EN_US        1      True          1
             preferredUrl queryPhrase
0  http://www.example.com/     example phrase
1  http://www.example.com/     example phrase
2  http://www.example.com/     example phrase
3  http://www.example.com/     example phrase
4  http://www.example.com/     example phrase