{"status": 200, "name": "casa", "size": "1-10", "employee_count": 19276, "id": "casa_2", "founded": 2009, "industry": "information services", "naics": [{"naics_code": "5239", "sector": "finance and insurance", "sub_sector": "securities, commodity contracts, and other financial investments and related activities", "industry_group": "other financial investment activities", "naics_industry": null, "national_industry": null}], "sic": [{"sic_code": "62", "major_group": "security and commodity brokers, dealers, exchanges, and services", "industry_group": null, "industry_sector": null}], "location": {"name": "bedfordview, gauteng, south africa", "locality": "bedfordview", "region": "gauteng", "metro": null, "country": "south africa", "continent": "africa", "street_address": "54 van buuren road", "address_line_2": null, "postal_code": null, "geo": "-26.17,28.14"}, "linkedin_id": "853782", "linkedin_url": " linkedin.com/company/casa_2 ", "facebook_url": null, "twitter_url": null, "profiles": [" linkedin.com/company/casa_2 ", " linkedin.com/company/853782 "], "website": " casawealth.org ", "ticker": null, "type": "private", "summary": "casa is an industry leading association that can provide you with the edge you need to be an effective business owner with a substantial property portfolio and gives you the power to confidently manage your business and structures to enable you, the business owner, to later on become a member of our exclusive business and investment consortiums.", "tags": ["property portfolio & business and investment consortiums", "erty portfolio & business and investment consortiums"], "headline": null, "alternative_names": ["c.a.s.a.", "hogar", "owner ceo en nuno arcade gaming", "home - casa", "hotel bernini palace", "ninguno por ahora", "c.a.s.a", "ingegneria civile e ambientale", "operand assessoria", "aism\\adov"], "affiliated_profiles": [], "likelihood": 2}

If I send multiple values in the “location” parameter for person enrich, it seems to only be using the last value in the array to match on (order matters)

We constantly get out "Out of Credits" errors from the API, despite having many credits still available for the month. This is just a bug and not really a suggestion, but its annoying enough that now my team is evaluating PDL alternatives. We've submitted a bug request for it. Its not the first time its happened though.

Chief titles in the armed forces incorrectly being tagged as CXO.

2 of the 3 free company files do not unzip in Windows. free_company_dataset.csv.zip and free_company_dataset.json.zip fail but free_company_dataset_pipe.txt.zip opens.

The company domains are stale. ( useloom.com changed to loom.com , getsentry.com -> sentry.io etc) Other examples: {' useloom.com ': ' http://www.loom.com/ '}, {' getsentry.com ': ' http://sentry.io/welcome/ '}, {' standardcognition.com ': ' http://standard.ai/ '}, {' proposify.biz ': ' http://www.proposify.com/ '}

https://api.peopledatalabs.com/v5/company/clean?api_key=XXX&&name=Unknown&profile=&website=

Case 1: params = {'website': ' http://bedsandbars.com/ ', 'required': 'industry'} response = A response with the complete information including industry, size, employee_count, etc Case 2: params = {'website': ' http://bedsandbars.com/ ', 'required': 'size'} response = A response with the complete information including industry, size, employee_count, etc Case 4: params = {'website': ' http://bedsandbars.com/ ', 'required': 'size and industry'} response = {'status': 404, 'message': 'No companies were found matching your request'} - both industry and size are available (Case1 and Case2)

Doesn't work whether or not its global. problem below example: ———————————————————— import requests import json headers = { 'Content-Type': 'application/json' 'X-api-key': '' } data = { "required": "emails AND profiles" "min_likelihood": 9, "data_include": "emails.address" "requests": [ { "params": { "profile": [" linkedin.com/in/seanthorne "] "location": ["SF Bay Area"] "name": ["Sean F. Thorne"], "data_include": "emails.address" } } { "params": { "profile": [" https://www.linkedin.com/in/haydenconrad/ "] "first_name": "Hayden" "data_include": "emails.address" "last_name": "Conrad" } } ] } json_response = requests.post ( ' https://api.peopledatalabs.com/v5/person/bulk ' headers=headers json=data ).json() print(json.dumps(json_response))

https://api.peopledatalabs.com/v5/person?api_key=XXX&locality=STUDIO%20CITY&region=California&street_address=12191%20VENTURA%20BLVD&postal_code=91604&company=CITIBANK&email=j.kim@citibank.com&first_name=Candy&last_name=Kim&phone=8187666142&phone=8185056591&pretty=true As soon as we get a contradicting name it causes a red flag on the customer side (especially when they have this much data on the person). We typically tell customers that 5-6 is a "high-accuracy" likelihood score so ideally this request falls lower than 5.