All URIs are relative to https://api-v2.intrinio.com
| Method | HTTP request | Description |
|---|---|---|
| get_zacks_analyst_ratings | GET /zacks/analyst_ratings | Zacks Analyst Ratings |
| get_zacks_eps_estimates | GET /zacks/eps_estimates | Zacks EPS Estimates |
| get_zacks_eps_growth_rates | GET /zacks/eps_growth_rates | Zacks EPS Growth Rates |
| get_zacks_eps_surprises | GET /zacks/eps_surprises | Zacks EPS Surprises |
| get_zacks_etf_holdings | GET /zacks/etf_holdings | Zacks ETF Holdings |
| get_zacks_institutional_holding_companies | GET /zacks/institutional_holdings/companies | Zacks Institutional Holding Companies |
| get_zacks_institutional_holding_owners | GET /zacks/institutional_holdings/owners | Zacks Institutional Holding Owners |
| get_zacks_institutional_holdings | GET /zacks/institutional_holdings | Zacks Institutional Holdings |
| get_zacks_long_term_growth_rates | GET /zacks/long_term_growth_rates | Zacks Long Term Growth Rates |
| get_zacks_sales_estimates | GET /zacks/sales_estimates | Zacks Sales Estimates |
| get_zacks_sales_surprises | GET /zacks/sales_surprises | Zacks Sales Surprises |
| get_zacks_target_price_consensuses | GET /zacks/target_price_consensuses | Zacks Target Price Consensuses |
View Intrinio API Documentation
ApiResponseZacksAnalystRatings get_zacks_analyst_ratings(identifier=identifier, start_date=start_date, end_date=end_date, mean_greater=mean_greater, mean_less=mean_less, strong_buys_greater=strong_buys_greater, strong_buys_less=strong_buys_less, buys_greater=buys_greater, buys_less=buys_less, holds_greater=holds_greater, holds_less=holds_less, sells_greater=sells_greater, sells_less=sells_less, strong_sells_greater=strong_sells_greater, strong_sells_less=strong_sells_less, total_greater=total_greater, total_less=total_less, page_size=page_size, next_page=next_page)
This database offers consensus analyst recommendations for over 5,000 US and Canadian listed companies.
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
identifier = 'AAPL'
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_analyst_ratings(identifier=identifier, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| identifier | str | A Security identifier (Ticker, FIGI, ISIN, CUSIP, Intrinio ID) | [optional] |
| start_date | date | Limit ratings to those on or after this date | [optional] |
| end_date | date | Limit ratings to those on or before this date | [optional] |
| mean_greater | float | Return only records with a mean (average) higher than this value | [optional] |
| mean_less | float | Return only records with a mean (average) lower than this value | [optional] |
| strong_buys_greater | int | Return only records with more than this many Strong Buy recommendations | [optional] |
| strong_buys_less | int | Return only records with fewer than this many Strong Buy recommendations | [optional] |
| buys_greater | int | Return only records with more than this many Buy recommendations | [optional] |
| buys_less | int | Return only records with fewer than this many Buy recommendations | [optional] |
| holds_greater | int | Return only records with more than this many Hold recommendations | [optional] |
| holds_less | int | Return only records with fewer than this many Hold recommendations | [optional] |
| sells_greater | int | Return only records with more than this many Sell recommendations | [optional] |
| sells_less | int | Return only records with fewer than this many Sell recommendations | [optional] |
| strong_sells_greater | int | Return only records with more than this many Strong Sell recommendations | [optional] |
| strong_sells_less | int | Return only records with fewer than this many Strong Sell recommendations | [optional] |
| total_greater | int | Return only records with more than this many recommendations, regardless of type | [optional] |
| total_less | int | Return only records with fewer than this many recommendations, regardless of type | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
ApiResponseZacksAnalystRatings
View Intrinio API Documentation
ApiResponseZacksEPSEstimates get_zacks_eps_estimates(identifier=identifier, start_date=start_date, end_date=end_date, fiscal_year=fiscal_year, fiscal_period=fiscal_period, calendar_year=calendar_year, calendar_period=calendar_period, page_size=page_size, next_page=next_page)
This database offers consensus earnings estimates for over 5,000 US and Canadian listed companies.
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
identifier = 'AAPL'
start_date = ''
end_date = ''
fiscal_year = ''
fiscal_period = ''
calendar_year = ''
calendar_period = ''
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_eps_estimates(identifier=identifier, start_date=start_date, end_date=end_date, fiscal_year=fiscal_year, fiscal_period=fiscal_period, calendar_year=calendar_year, calendar_period=calendar_period, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| identifier | str | A Company identifier (Ticker, CIK, LEI, Intrinio ID) | [optional] |
| start_date | date | Limit EPS estimates to those on or after this date | [optional] |
| end_date | date | Limit EPS estimates to those on or before this date | [optional] |
| fiscal_year | int | Only for the given fiscal year | [optional] |
| fiscal_period | str | The fiscal period | [optional] |
| calendar_year | int | Only for the given calendar year | [optional] |
| calendar_period | str | The calendar period | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
View Intrinio API Documentation
ApiResponseZacksEPSGrowthRates get_zacks_eps_growth_rates(company=company, industry_group_name=industry_group_name, industry_group_number=industry_group_number, page_size=page_size, next_page=next_page)
This database offers consensus EPS growth rate estimates, comparing company estimates to historical company estimates, industry estimates, and S&P 500 index estimates.
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
company = 'AAPL'
industry_group_name = ''
industry_group_number = ''
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_eps_growth_rates(company=company, industry_group_name=industry_group_name, industry_group_number=industry_group_number, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| company | str | Filings for the given `company` identifier (ticker, CIK, LEI, Intrinio ID) | [optional] |
| industry_group_name | str | Return only growth rates for companies in the given Zacks industry group name | [optional] |
| industry_group_number | str | Return only growth rates for companies in the given Zacks industry group number | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
ApiResponseZacksEPSGrowthRates
View Intrinio API Documentation
ApiResponseZacksEPSSurprises get_zacks_eps_surprises(start_date=start_date, end_date=end_date, eps_actual_greater=eps_actual_greater, eps_actual_less=eps_actual_less, eps_mean_estimate_greater=eps_mean_estimate_greater, eps_mean_estimate_less=eps_mean_estimate_less, eps_amount_diff_greater=eps_amount_diff_greater, eps_amount_diff_less=eps_amount_diff_less, eps_percent_diff_greater=eps_percent_diff_greater, eps_percent_diff_less=eps_percent_diff_less, eps_count_estimate_greater=eps_count_estimate_greater, eps_count_estimate_less=eps_count_estimate_less, eps_std_dev_estimate_greater=eps_std_dev_estimate_greater, eps_std_dev_estimate_less=eps_std_dev_estimate_less, page_size=page_size, next_page=next_page)
This database returns historical estimated and actual earnings, guidance, and announcement dates for 17,000+ US and Canadian listed companies.
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
start_date = ''
end_date = ''
eps_actual_greater = ''
eps_actual_less = ''
eps_mean_estimate_greater = ''
eps_mean_estimate_less = ''
eps_amount_diff_greater = ''
eps_amount_diff_less = ''
eps_percent_diff_greater = ''
eps_percent_diff_less = ''
eps_count_estimate_greater = ''
eps_count_estimate_less = ''
eps_std_dev_estimate_greater = ''
eps_std_dev_estimate_less = ''
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_eps_surprises(start_date=start_date, end_date=end_date, eps_actual_greater=eps_actual_greater, eps_actual_less=eps_actual_less, eps_mean_estimate_greater=eps_mean_estimate_greater, eps_mean_estimate_less=eps_mean_estimate_less, eps_amount_diff_greater=eps_amount_diff_greater, eps_amount_diff_less=eps_amount_diff_less, eps_percent_diff_greater=eps_percent_diff_greater, eps_percent_diff_less=eps_percent_diff_less, eps_count_estimate_greater=eps_count_estimate_greater, eps_count_estimate_less=eps_count_estimate_less, eps_std_dev_estimate_greater=eps_std_dev_estimate_greater, eps_std_dev_estimate_less=eps_std_dev_estimate_less, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| start_date | date | Limit EPS surprises to those on or after this date | [optional] |
| end_date | date | Limit EPS surprises to those on or before this date | [optional] |
| eps_actual_greater | float | Return only records with an actual EPS higher than this value | [optional] |
| eps_actual_less | float | Return only records with an actual EPS lower than this value | [optional] |
| eps_mean_estimate_greater | float | Return only records with an EPS mean estimate greater than this value | [optional] |
| eps_mean_estimate_less | float | Return only records with an EPS mean estimate lower than this value | [optional] |
| eps_amount_diff_greater | float | Return only records with an EPS amount difference greater than this value | [optional] |
| eps_amount_diff_less | float | Return only records with an EPS amount difference less than this value | [optional] |
| eps_percent_diff_greater | float | Return only records with an EPS percent difference greater than this value | [optional] |
| eps_percent_diff_less | float | Return only records with an EPS percent difference less than this value | [optional] |
| eps_count_estimate_greater | float | Return only records with an EPS count estimate greater than this value | [optional] |
| eps_count_estimate_less | float | Return only records with an EPS count estimate less than this value | [optional] |
| eps_std_dev_estimate_greater | float | Return only records with an EPS standard deviation greater than this value | [optional] |
| eps_std_dev_estimate_less | float | Return only records with an EPS standard deviation less than this value | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
View Intrinio API Documentation
ApiResponseZacksETFHoldings get_zacks_etf_holdings(etf_ticker=etf_ticker, holding_symbol=holding_symbol, weight_greater=weight_greater, weight_less=weight_less, page_size=page_size, next_page=next_page)
Returns Zacks ETF holdings data
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
etf_ticker = 'SPY'
holding_symbol = 'AAPL'
weight_greater = ''
weight_less = ''
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_etf_holdings(etf_ticker=etf_ticker, holding_symbol=holding_symbol, weight_greater=weight_greater, weight_less=weight_less, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| etf_ticker | str | Return holdings of the ETF with the given ticker | [optional] |
| holding_symbol | str | Return holdings where the instrument being held has the given trading symbol | [optional] |
| weight_greater | float | Return on the holdings with a weight greater than | [optional] |
| weight_less | float | Return on the holdings with a weight less than | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
View Intrinio API Documentation
ApiResponseZacksInstitutionalHoldingCompanies get_zacks_institutional_holding_companies(ticker=ticker, page_size=page_size, next_page=next_page)
Returns Zacks institutional holding companies data
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
ticker = ''
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_institutional_holding_companies(ticker=ticker, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| ticker | str | Return companies with the given ticker | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
ApiResponseZacksInstitutionalHoldingCompanies
View Intrinio API Documentation
ApiResponseZacksInstitutionalHoldingOwners get_zacks_institutional_holding_owners(cik=cik, page_size=page_size, next_page=next_page)
Returns Zacks institutional holding owners data
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
cik = ''
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_institutional_holding_owners(cik=cik, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| cik | str | Return owners with the given Central Index Key (CIK) | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
ApiResponseZacksInstitutionalHoldingOwners
View Intrinio API Documentation
ApiResponseZacksInstitutionalHoldings get_zacks_institutional_holdings(ticker=ticker, owner_cik=owner_cik, page_size=page_size, next_page=next_page)
Returns Zacks institutional holdings data
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
ticker = ''
owner_cik = ''
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_institutional_holdings(ticker=ticker, owner_cik=owner_cik, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| ticker | str | Return holdings where the company being held has the given ticker | [optional] |
| owner_cik | str | Return holdings where the owner/holder has the given Central Index Key (CIK) | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
ApiResponseZacksInstitutionalHoldings
View Intrinio API Documentation
ApiResponseZacksLongTermGrowthRates get_zacks_long_term_growth_rates(identifier=identifier, page_size=page_size, next_page=next_page)
This database offers consensus long term growth rate estimates, including insight into changes in estimates and revisions over time.
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
identifier = 'AAPL'
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_long_term_growth_rates(identifier=identifier, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| identifier | str | A Security identifier (Ticker, FIGI, ISIN, CUSIP, Intrinio ID) | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
ApiResponseZacksLongTermGrowthRates
View Intrinio API Documentation
ApiResponseZacksSalesEstimates get_zacks_sales_estimates(identifier=identifier, start_date=start_date, end_date=end_date, fiscal_year=fiscal_year, fiscal_period=fiscal_period, calendar_year=calendar_year, calendar_period=calendar_period, next_page=next_page, page_size=page_size, next_page2=next_page2)
This database offers consensus sales estimates for over 5,000 US and Canadian listed companies.
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
identifier = 'AAPL'
start_date = ''
end_date = ''
fiscal_year = ''
fiscal_period = ''
calendar_year = ''
calendar_period = ''
next_page = ''
page_size = 100
next_page2 = ''
response = intrinio.ZacksApi().get_zacks_sales_estimates(identifier=identifier, start_date=start_date, end_date=end_date, fiscal_year=fiscal_year, fiscal_period=fiscal_period, calendar_year=calendar_year, calendar_period=calendar_period, next_page=next_page, page_size=page_size, next_page2=next_page2)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| identifier | str | A Company identifier (Ticker, CIK, LEI, Intrinio ID) | [optional] |
| start_date | date | Limit Sales estimates to those on or after this date | [optional] |
| end_date | date | Limit Sales estimates to those on or before this date | [optional] |
| fiscal_year | int | Only for the given fiscal year | [optional] |
| fiscal_period | str | The fiscal period | [optional] |
| calendar_year | int | Only for the given calendar year | [optional] |
| calendar_period | str | The calendar period | [optional] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page2 | str | Gets the next page of data from a previous API call | [optional] |
ApiResponseZacksSalesEstimates
View Intrinio API Documentation
ApiResponseZacksSalesSurprises get_zacks_sales_surprises(start_date=start_date, end_date=end_date, sales_actual_greater=sales_actual_greater, sales_actual_less=sales_actual_less, sales_mean_estimate_greater=sales_mean_estimate_greater, sales_mean_estimate_less=sales_mean_estimate_less, sales_amount_diff_greater=sales_amount_diff_greater, sales_amount_diff_less=sales_amount_diff_less, sales_percent_diff_greater=sales_percent_diff_greater, sales_percent_diff_less=sales_percent_diff_less, sales_count_estimate_greater=sales_count_estimate_greater, sales_count_estimate_less=sales_count_estimate_less, sales_std_dev_estimate_greater=sales_std_dev_estimate_greater, sales_std_dev_estimate_less=sales_std_dev_estimate_less, page_size=page_size, next_page=next_page)
This database returns historical estimated and actual sales, guidance, and announcement dates for 17,000+ US and Canadian listed companies.
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
start_date = ''
end_date = ''
sales_actual_greater = ''
sales_actual_less = ''
sales_mean_estimate_greater = ''
sales_mean_estimate_less = ''
sales_amount_diff_greater = ''
sales_amount_diff_less = ''
sales_percent_diff_greater = ''
sales_percent_diff_less = ''
sales_count_estimate_greater = ''
sales_count_estimate_less = ''
sales_std_dev_estimate_greater = ''
sales_std_dev_estimate_less = ''
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_sales_surprises(start_date=start_date, end_date=end_date, sales_actual_greater=sales_actual_greater, sales_actual_less=sales_actual_less, sales_mean_estimate_greater=sales_mean_estimate_greater, sales_mean_estimate_less=sales_mean_estimate_less, sales_amount_diff_greater=sales_amount_diff_greater, sales_amount_diff_less=sales_amount_diff_less, sales_percent_diff_greater=sales_percent_diff_greater, sales_percent_diff_less=sales_percent_diff_less, sales_count_estimate_greater=sales_count_estimate_greater, sales_count_estimate_less=sales_count_estimate_less, sales_std_dev_estimate_greater=sales_std_dev_estimate_greater, sales_std_dev_estimate_less=sales_std_dev_estimate_less, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| start_date | date | Limit sales surprises to those on or after this date | [optional] |
| end_date | date | Limit sales surprises to those on or before this date | [optional] |
| sales_actual_greater | float | Return only records with an actual sales higher than this value | [optional] |
| sales_actual_less | float | Return only records with an actual sales lower than this value | [optional] |
| sales_mean_estimate_greater | float | Return only records with a sales mean estimate greater than this value | [optional] |
| sales_mean_estimate_less | float | Return only records with a sales mean estimate lower than this value | [optional] |
| sales_amount_diff_greater | float | Return only records with a sales amount difference greater than this value | [optional] |
| sales_amount_diff_less | float | Return only records with a sales amount difference less than this value | [optional] |
| sales_percent_diff_greater | float | Return only records with a sales percent difference greater than this value | [optional] |
| sales_percent_diff_less | float | Return only records with a sales percent difference less than this value | [optional] |
| sales_count_estimate_greater | float | Return only records with a sales count estimate greater than this value | [optional] |
| sales_count_estimate_less | float | Return only records with a sales count estimate less than this value | [optional] |
| sales_std_dev_estimate_greater | float | Return only records with a sales standard deviation greater than this value | [optional] |
| sales_std_dev_estimate_less | float | Return only records with a sales standard deviation less than this value | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |
ApiResponseZacksSalesSurprises
View Intrinio API Documentation
ApiResponseZacksTargetPriceConsensuses get_zacks_target_price_consensuses(identifier=identifier, industry_group_number=industry_group_number, page_size=page_size, next_page=next_page)
Returns the latest Zacks target price consensus data
from __future__ import print_function
import time
import intrinio_sdk as intrinio
from intrinio_sdk.rest import ApiException
intrinio.ApiClient().set_api_key('YOUR_API_KEY')
intrinio.ApiClient().allow_retries(True)
identifier = 'AAPL'
industry_group_number = ''
page_size = 100
next_page = ''
response = intrinio.ZacksApi().get_zacks_target_price_consensuses(identifier=identifier, industry_group_number=industry_group_number, page_size=page_size, next_page=next_page)
print(response)
# Note: For a Pandas DataFrame, import Pandas and use pd.DataFrame(response.property_name_dict) | Name | Type | Description | Notes |
|---|---|---|---|
| identifier | str | Filings for the given `company` identifier (ticker, CIK, LEI, Intrinio ID) | [optional] |
| industry_group_number | str | Return only growth rates for companies in the given Zacks industry group number | [optional] |
| page_size | int | The number of results to return | [optional] [default to 100] |
| next_page | str | Gets the next page of data from a previous API call | [optional] |