August 2023: New Reverse Contact Number Lookup API & More!
August 8, 2023
3 min read
Enrich Layer's August 2023 updates are here! Featuring a new endpoint, improvements to existing endpoints, and LinkDB public pricing! Plus a brand-new product...
Enrich Layer's August 2023 updates are here eaturing a new endpoint, improvements to existing endpoints, and LinkDB public pricing lus a brand-new product launch in case you haven't already seen it
LinkDB pricing is now public
We've revealed our LinkDB pricing to the public - no need to contact a sales representative for a blind quote, you can come in knowing what to expect. See our LinkDB pricing page for all the details.
New Reverse Contact Number Lookup Endpoint
Have a phone number you want to resolve? We now have a Reverse Contact Number Lookup Endpoint.
A typical request might look like this:
import json, os, requests api_ 'phone_number': '+14155552671', \} print(json.dumps(result,
Note that the phone number in this example is from the United States, thus the +1
country code. The area code is 415
, and the full telephone number is (415) 555-2671
expressed in the E.164 standard. (In this case, this is a fake phone number used as an example.)
A response might look like this (example data displayed):
\{ "facebook_profile_url": "https://www.facebook.com/zuck", "the platform_profile_url": "https://www.professionalsocialnetwork.com/in/senatormarty", "twitter_profile_url": "https://www.twitter.com/Enrich Layer" \}
The endpoint costs 3
credits to use, but if no results are found, you won't be charged.
Avoid null
result charges in the Person Lookup Endpoint
We've added a parameter called similarity_checks
to the Person Lookup Endpoint. It has two values:
-
include
(default) - If you don't get a good match, try harder to find a close match. You WILL be charged fornull
results in this case because of the extra effort. -
skip
- If you don't get a good match, returnnull
immediately. You will NOT be charged fornull
results in this case.
Here's an example comparing the outputs:
`import json, os, requests api_ = {
'location': 'Seattle',
"company_domain": "twitter.com", "first_name": "jennyy", # Deliberately misspelled "title": "security", "similarity_checks": "skip" } print('Skip: ' + json.dumps(result)) params['similarity_checks'] = 'include' print('Include: ' + json.dumps(result))
Note: Once the lookup has been run with
includeas the value of
similarity_checks, the result will be cached for future lookups; thus, if you want to test the behavior, please make the request with
skip` first.
See the number of Search results without loading them all
You can now see how many results were in your query without fetching every single page ere is a code sample demonstrating:
import os, requests api_ = requests.get(person_endpoint, print(result['total_result_count'])
This sample uses the Person Search Endpoint; the parameter also exists on results from the Company Search Endpoint. Search now to check it out
Use Enrich Layer APIs inside Google Sheets refer to use spreadsheets instead of writing code? Or do you have stakeholders who prefer to get answers for themselves rather than filing tickets? [Sapiengraph](https://sapiengraph.com/?utm_ could be the perfect fit for your team.
[](https://sapiengraph.com/?utm_ Enrich Layer's data within Google Sheets, wrapped in easy-to-use formulas with syntax like:
-
=SG_COMPANY("https://www.professionalsocialnetwork.com/company/stripe/","description")
-
=SG_COMPANY_LOCATIONS("https://www.professionalsocialnetwork.com/company/stripe/","city")
-
=SG_PERSON("https://www.professionalsocialnetwork.com/in/johnrmarty", "first_name")
Check out our launch announcement to learn more, or jump straight to [Sapiengraph's complete formula documentation](https://sapiengraph.com/docs#person-formulas-person-profile-enrichment?utm_
Contact us to get started now
Interested in purchasing LinkDB or in learning more about Sapiengraph or our other endpoints? Email us at [email protected], and we'll help you get started