People Data Labs Integration
Connect People Data Labs to Arahi's no-code AI developers and automate workflows in minutes.
About the People Data Labs integration
The source of the truth for person data With Arahi AI, you can connect People Data Labs to Abstract - IP Geolocation API, Algorithmia, Anthropic (Claude) and 1,500+ other apps using AI-powered workflows. No coding required — set up triggers, actions, and intelligent automation in minutes.
- Category
- AI & ML APIs
- Authentication
- keys
People Data Labs automation use cases
- Content generation from brief
- Generate drafts with People Data Labs from a content brief in Notion or Google Docs, no engineer in the loop.
- Inbound email classification
- Classify and route inbound emails with People Data Labs — support, sales, billing, or trash.
- Document summarization
- Summarize uploaded PDFs and docs with People Data Labs straight into the CRM or knowledge base.
- Sentiment-tagged CS routing
- Tag sentiment on every support ticket with People Data Labs and route negative ones to seniors first.
People Data Labs workflow examples
- Lead enrichment before routing
On HubSpot Contact Created, run Enrich person data from People Data Labs and write title, company, and LinkedIn back.
HubSpot new contact -> PDL enrich -> fields patched.
- Account scoring job
When Pipedrive captures a new organization, call Enrich Company Data and update the deal with headcount and industry.
Pipedrive new org -> PDL Enrich Company -> deal updated.
- ABM target list build
Use Person Search with Elasticsearch weekly on target filters and append matches into a Google Sheets ABM tab.
Weekly cron -> PDL Person Search -> Google Sheets ABM list.
People Data Labs actions
- Autocomplete field suggestions
- Provides autocompletion suggestions for a specific field (e.g., company, skill, title) based on partial text input.
- Clean company data
- Cleans and standardizes company information based on a name, website, or profile url; providing at least one of these inputs is highly recommended for meaningful results.
- Clean location data
- Cleans and standardizes a raw, unformatted location string into a structured representation, provided the input is a recognizable geographical place.
- Clean school data
- Cleans and standardizes school information; provide at least one of the school's name, website, or profile for optimal results.
- Person Search with Elasticsearch
- Performs a search for person profiles within people data labs using a custom elasticsearch domain specific language (dsl) query. this action allows for detailed and complex filtering based on various attributes of a person's profile, such as job title, skills, location, experience, and more. results can be paginated using the `size` and `scroll token` parameters. preconditions: - the `query` parameter must contain a valid elasticsearch dsl query string, structured as a json object. - if the `dataset` parameter is specified, it must be one of the allowed values: 'resume', 'email', 'phone', 'mobile phone', 'street address', 'consumer social', 'developer', 'all'. - note: this action queries the people data labs person search endpoint (`/v5/person/search`) and returns person records.
- Enrich Company Data
- Enriches company data from people data labs with details like firmographics and employee counts, requiring at least one company identifier.
- Enrich IP Data
- Enriches an ip address with company, location, metadata, and person data from people data labs.
- Enrich job title data
- Enhances a job title by providing additional contextual information and details.
- Enrich person data
- Enriches person data using various identifiers; requires a primary id (profile, email, phone, email hash, lid, pdl id) or a name (full, or first and last) combined with another demographic detail (e.g., company, school, location).
- Enrich skill data
- Retrieves detailed, standardized information for a given skill by querying the people data labs skill enrichment api; for best results, provide a recognized professional skill or area of expertise.
- Generate Search Query
- Converts natural language queries into structured pdl elasticsearch queries for people or company searches; generates optimized query structure without executing the search.
- Get column details
- Retrieves predefined enum values for a column name from `enum mappings.json`; `is enum` in the response will be false if the column is not found or is not an enum type.
- Get schema
- Retrieves the schema, including field names, descriptions, and data types, for 'person' or 'company' entity types.
- Identify person data
- Retrieves detailed profile information for an individual from people data labs (pdl), requiring at least one identifier such as email, phone, profile url, name, or company.
- People Search with Elasticsearch
- Searches for person profiles in the people data labs (pdl) database using an elasticsearch domain specific language (dsl) query. this action allows for highly targeted searches based on criteria such as job titles, skills, company details, location, experience, and more. preconditions: - the provided elasticsearch query (in the `query` field) must be a syntactically correct json object representing a valid elasticsearch query. - the query must utilize fields that are defined in the people data labs person schema. - the `dataset` parameter must specify one of the allowed dataset categories.