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"""
I want to get education and employment history for my existing list of customer profiles
"""
import requests, json
import pandas as pd
API_KEY = "####" # Enter your api key here
PDL_URL = "https://api.peopledatalabs.com/v5/person/enrich"
# Load in existing customers (containing name, email, addresses)
existing_customers_list = "my_existing_customers.csv" # Enter path to your customers csv file here
existing_customers = pd.read_csv(existing_customers_list, header=0)
# Send an enrichment request for each the profiles in our existing customers list
enriched_customers = []
num_successful_responses = 0
for idx, existing_profile in existing_customers.iterrows():
# Set Person Enrichment API parameters
# We want to find education and work experience given a name, email and address
params = {
"api_key": API_KEY,
"first_name": [ existing_profile['first_name'] ], # e.g. Jennifer
"last_name": [ existing_profile['last_name'] ], # e.g. Jackson
"email": [ existing_profile['email'] ], # e.g. sean@peopledatalabs.com
"street_address" : [ existing_profile['street_address'] ], # e.g. 1234 Main Street
"locality": [ existing_profile['city'] ], # e.g. Boise
"region": [ existing_profile['state'] ], # e.g. Idaho
"postal_code": [ existing_profile['zip_code'] ], # e.g. 83701
"required": "education AND experience" # requirement for successful match
}
# Send a single API request
api_response = requests.get(PDL_URL, params=params).json()
# Parse the enrichment from the response
if api_response['status'] == 200:
# enriched_profile is a single profile object
# Successful matches are guaranteed to contain education and work histories
# See the full schema for all available fields at: https://docs.peopledatalabs.com/docs/fields
enriched_profile = api_response['data']
num_successful_responses += 1
elif api_response['status'] == 404:
# If no profile match is found then, response will have a 404 status
enriched_profile = {}
else:
# Print if we get some other error
error = api_response['error']
print(f"Request was unsuccessful with status {api_response['status']}")
print(f"Error:
Type: {error['type']}
Message: {error['message']}")
enriched_profile = {}
enriched_customers.append(enriched_profile)
# Print Summary:
print(f"Total Number of Responses Received {len(enriched_customers)}")
print(f"Number of Successful Matches: {num_successful_responses}")
# Write enrichment results to csv
enriched_customers_dataframe = pd.DataFrame(enriched_customers)
enriched_customers_dataframe.to_csv("my_enriched_customers.csv", index=False)
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Our robust job history data will enable your customers to build more accurate projections. Our data sets include unique data points around business skills and education history to create insights and trend projections moving forward.
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Empower enterprises making large hiring decisions and research institutions building industry reports. Allow your customers to utilize in-depth data to find precisely the information they need.
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150+
fields
1b+
Email Addresses
3b+
Total Records
260mm+
U.S. Records
600mm+
Phone Numbers
400mm+
U.S. Phone Numbers
400mm+
Facebook URLs
556mm+
LinkedIn URLs
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