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POST
Check a LinkedIn watch before starting it

Authorizations

X-API-Key
string
header
required

Body

application/json

A LinkedIn watch to check and price, without starting it.

record_type
enum<string>
required

Which dataset a search runs against, and so which provider serves it.

Values are persisted in String(16) columns, so every member must stay within 16 characters.

Available options:
people,
companies,
signal_companies,
signal_people,
lookalikes,
local_businesses,
hiring_companies,
backlinks,
post_engagers,
profile_engagers,
page_engagers,
topic_mentions,
event_attendees,
search_results

The sites linking to a domain or a page.

Name the target and get one row per referring site by default, sorted by the rank the link passes. Every attribute of a backlink the index can filter on is here, in four groups: the referring site, the referring page, the link itself, and the page it points at. The index takes at most eight filter conditions in one search, counting every value of every list as one; a ninth is refused rather than dropped.

companies
CompanyQuerySchema · object | null

Filters for a company search.

event_attendees
EventAttendeesQuerySchema · object | null

A LinkedIn watch on events: who says they are attending.

hiring_companies
HiringCompaniesQuerySchema · object | null

Filters for a search for companies with open roles matching a job title.

The rows are companies, one per employer, each carrying every open posting the search read for it. The count is of open postings, since the companies are folded from them once they are read.

local_businesses
LocalBusinessQuerySchema · object | null

Filters for a map search over business listings.

The one search here that asks "who is within this radius". Name a category, a business name or a website to look for, plus an area to look in for the radius part.

lookalikes
LookalikeQuerySchema · object | null

Filters for a search for companies resembling a set of seed companies.

page_engagers
PageEngagersQuerySchema · object | null

A LinkedIn watch on company pages: who engages with the posts they publish.

people
PeopleQuerySchema · object | null

Filters for a people search.

people_per_day
integer
default:25

The daily ceiling to price.

Required range: 1 <= x <= 1000
post_engagers
PostEngagersQuerySchema · object | null

A LinkedIn watch on posts somebody names: who reacts to or comments on them.

The posts are the watch: at least one is required.

profile_engagers
ProfileEngagersQuerySchema · object | null

A LinkedIn watch on people somebody names: who engages with the posts they publish.

search_results
SearchResultsQuerySchema · object | null

Google searches to run, each landing the results Google shows for it.

Write each search the way you would type it into Google: operators (site:, intitle:, quoted phrases) work and cost nothing extra. One row is one result of one search, with the search that found it and its rank.

signal_companies
SignalCompaniesQuerySchema · object | null

Filters for a company buying-signal search.

signal_people
SignalPeopleQuerySchema · object | null

Filters for a person activity-signal search.

topic_mentions
TopicMentionsQuerySchema · object | null

A LinkedIn watch on keywords: who posts about them, or engages with posts that do.

Response

Successful Response

What a LinkedIn watch would add and cost, checked without starting it.

ceiling_credits_per_day
number
required

The most one day of people costs, before any enrichment column, which is billed per answer on top.

columns
LeadColumnSchema · object[]
required

Every column the watch's table will have, in order.

credits_per_person
number
required

What one person the watch adds costs.

people_per_day
integer
required
record_type
enum<string>
required

Which dataset a search runs against, and so which provider serves it.

Values are persisted in String(16) columns, so every member must stay within 16 characters.

Available options:
people,
companies,
signal_companies,
signal_people,
lookalikes,
local_businesses,
hiring_companies,
backlinks,
post_engagers,
profile_engagers,
page_engagers,
topic_mentions,
event_attendees,
search_results