Linkedin Scraper API provides comprehensive building HR tools, talent acquisition, company research, job analysis and more data for building mobile apps, online products, tools, programs, market inquiries and more. This linkedin scraper API provides a gigantic amount of Human Resources data including all the elements you want.
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Person Identify API
Person identify API for identifying details on persons by People Data Labs
The person identify API of People Data Labs outputs data for the purpose of identifying details on persons. When filtering the API based on the name, first_name, last_name, location, street_address, locality and more you will be able to get the response that you need for your platform. There are endless systems which are being developed with the use of the person identification API. Developers keep coming up with new ideas for using the data, here are some potential cases; building sales and marketing strategies, talent acquisition, research, risk analysis and more and surely there are much more clients can come up with. It is used by small business, medium business and enterprises, some ideas of the type of company that uses the data are talent and HR agents, KYC and B2C platforms, sales representatives and marketers, researchers, risk analysts and more. The clients use the data in the sales and marketing, research, talent acquisition, identity risk, KYC and B2C industry.
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Person Identify API endpoints
| GET |
| /v5/person/identify |
| GET | /v5/person/identify |
Connect with the person identify API endpoint; /v5/person/identify by sending a GET request for information to the endpoint with the appropriate parameters and get an output like in the example data. The endpoint has the purpose of identifying details on persons. To be able to obtain the output required, make use of the parameters and objects as explained in the table. Input the endpoint in the URL to make the request. All major programming languages function with the data output. Clients simply need to attach the personal API key as an endpoint parameter and clients can start receiving the data.
Person identify data filters
See below the parameters available for the person identify API.
| Filters | ||
name |
locality |
phone |
first_name |
region |
email |
last_name |
postal_code |
email_hash |
location |
company |
profile |
street_address |
school |
lid |
API object attributes
Interpret the objects and the related description with the table to be able to make use of the system also make use of the applicable parameters to be able to receive the appropriate data as a response output.
| Objects | Description |
status | The API response code |
matches | A list of up to 20 profiles matching the input criteria from the API request. The API only returns profiles with a match_score greater than 5 (out of 100.) |
matches.match_score | An integer between 1-99 drawn from a probability-like distribution representing the matching strength between a profile and the input criteria. In other words, the probability that this record is the record you are looking for based on your query. |
matches.data | The field attributes associated with this profile. For a list of fields, see the Person Schema. |
matches.matched_on | A list of data fields that the API matched for this profile. The API only returns this if you set the include_if_matched input parameter to true. |
Person identify response output
Here customers may see the response example. Opt-in for the complete data output due to this being limited to make it more readable.
{
"status": 200,
"matches": [
{
"data": {
"id": "qEnOZ5Oh0poWnQ1luFBfVw_0000",
"full_name": "sean thorne",
"first_name": "sean",
"middle_initial": "f",
"middle_name": "fong",
"last_name": "thorne",
"gender": "male",
"birth_year": 1990,
"birth_date": null,
"linkedin_url": "linkedin.com/in/seanthorne",
"linkedin_username": "seanthorne",
"linkedin_id": "145991517",
"facebook_url": "facebook.com/deseanthorne",
"facebook_username": "deseanthorne",
"facebook_id": "1089351304",
"twitter_url": "twitter.com/seanthorne5",
"twitter_username": "seanthorne5",
"github_url": null,
"github_username": null,
"work_email": "sean@peopledatalabs.com",
"personal_emails": [],
"mobile_phone": "+14155688415",
"industry": "computer software",
"job_title": "co-founder and chief executive officer",
"job_title_role": null,
"job_title_sub_role": null,
"job_title_levels": [
"owner",
"cxo"
],
"job_company_id": "peopledatalabs",
"job_company_name": "people data labs",
"job_company_website": "peopledatalabs.com",
"job_company_size": "11-50",
"job_company_founded": 2015,
"job_company_industry": "computer software",
"job_company_linkedin_url": "linkedin.com/company/peopledatalabs",
"job_company_linkedin_id": "18170482",
"job_company_facebook_url": "facebook.com/peopledatalabs",
"job_company_twitter_url": null,
"job_company_type": "private",
"job_company_ticker": null,
"job_company_location_name": "san francisco, california, united states",
"job_company_location_locality": "san francisco",
"job_company_location_metro": "san francisco, california",
"job_company_location_region": "california",
"job_company_location_geo": "37.77,-122.41",
"job_company_location_street_address": "455 market street",
"job_company_location_address_line_2": "suite 1670",
"job_company_location_postal_code": "94105",
"job_company_location_country": "united states",
"job_company_location_continent": "north america",
"job_last_updated": "2021-12-15",
"job_start_date": "2015-03",
"job_summary": "People Data Labs builds people data. Leverage our dataset of 1.5 billion unique person profiles as your data foundation to build products, enrich person profiles, power predictive modeling/AI, analysis, and more. We build and maintain our data from our powerful Data Union. We work with thousands of data science teams as their engineering focused people data partner. These include enterprises like adidas, eBay, and Acxiom, as well as startups like Madison Logic, Zoho, and Workable. Backed by Founders Fund. I consult with our engineering customers to solve people data building challenges - sean@peopledatalabs.com",
"location_name": "san francisco, california, united states",
"location_locality": "san francisco",
"location_metro": "san francisco, california",
"location_region": "california",
"location_country": "united states",
"location_continent": "north america",
"location_street_address": null,
"location_address_line_2": null,
"location_postal_code": null,
"location_geo": "37.77,-122.41",
"location_last_updated": "2021-12-15",
"linkedin_connections": 10135,
"inferred_salary": ">250,000",
"inferred_years_experience": 9,
"summary": "Interested in solving the hardest problems the enterprise is facing.",
"phone_numbers": [
"+14155688415"
],
"emails": [
{
"address": "sthorne@uoregon.edu",
"type": null
},
{
"address": "sean@hallspot.com",
"type": "professional"
},
{
....
SDKs
There are SDKs available to assist the building of your platform, just ask for them and they should be emailed. Next use the filter parameters to select the required output for you and with the person identification API output in JSON your platform is clear to design.
Person Identify API pricing
In the event that clients wish to have test access to this person identify data before paying, there are sample and trial datasets accessible so get in contact and inquire into the trial API connection. Once clients have played a bit a little with the the API, you may determine if you want to buy complete connection to the database.
API cost
People Data Labs data is accessible with the price tag starting monthly from $99 with secure payment.
| Option | Price |
Monthly subscription | From $99/month |
Variable pricing | no |
Free Trial
Free trial is available
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