Ideas · LinkedIn

14 things to build with LinkedIn data.

LinkedIn data is good for finding the right people and companies, and for spotting signals like hiring, job changes and what people post. Each idea below names the operations it calls, so an agent can quote it and run it.

Operations
13
Price
from $0.001 per record
Free to start
$0.10

Updated 21 October 2026

The ideas

A B2B lead list builder

For sales teams with a clear customer profile. It searches people by title, seniority, industry and company size, then saves each match to a sheet or CRM. Uses searchPeople.

An account brief before a sales call

For account executives who want context fast. It reads the company page, what the company is hiring for and recent posts that mention it, and writes a one-page brief. Uses companies, jobs and searchPosts.

A job-change alert for champions

For customer success and sales teams. It re-reads the profiles of past buyers each month and flags anyone whose current position has changed. Uses profiles.

A hiring-signal feed

For vendors whose product fits a team that is growing. It searches new job listings for a role in chosen locations and lists the companies posting them. Uses jobs.

A company list by market

For founders and analysts sizing a market. It searches companies by keyword, location, industry and headcount band and exports the list. Uses searchCompanies.

A buying committee map

For sellers working one target account. It searches that company's people by function and seniority to show who leads each team. Uses searchPeople.

A post engagement lead finder

For marketers who post on a topic. It lists the people who reacted to or commented on a post, with their headlines, for a human to review. Uses postReactions and postComments.

A topic listening feed

For product and research teams. It searches posts by keyword from the last week, newest first, and sends a short digest. Uses searchPosts.

A founder content benchmark

For founders and ghostwriters. It reads the recent posts of peers with likes, comments and reposts to see which formats get replies. Uses posts.

A competitor ad tracker

For growth teams. It reads a rival's ads from the Ad Library with headline, format, impressions and days active, and flags new ones. Uses adsLibrary.

A candidate sourcing assistant

For recruiters. It searches people by title, location and years of experience, then reads full profiles with skills and positions for a shortlist. Uses searchPeople and profiles.

A CRM enrichment job

For revenue operations teams with stale records. It refreshes headline, location and current position for each contact by LinkedIn handle. Uses profiles.

A prospect interest digest

For sellers who want a real reason to reach out. It reads what a prospect has commented on and reacted to lately and lists the topics. Uses profileComments and profileReactions.

A company page growth tracker

For marketing teams watching competitors. It reads company pages on a schedule and charts the stored follower series, which is free to read. Uses companies and history.

Each idea and what it calls

Show all 14 rows
A B2B lead list buildersearchPeopleUp to 50 peoplesearchPeople: $0.004 per record
An account brief before a sales callcompanies, jobs, searchPosts1 company, up to 50 listingscompanies: $0.004 per record
A job-change alert for championsprofilesUp to 10 profilesprofiles: $0.004 per record
A hiring-signal feedjobsUp to 50 listingsjobs: $0.001 per record
A company list by marketsearchCompaniesUp to 50 companiessearchCompanies: $0.004 per record
A buying committee mapsearchPeopleUp to 50 peoplesearchPeople: $0.004 per record
A post engagement lead finderpostReactions, postCommentsUp to 100 reactionspostReactions: $0.002 per record
A topic listening feedsearchPostsUp to 50 postssearchPosts: $0.002 per record
A founder content benchmarkpostsUp to 50 postsposts: $0.002 per record
A competitor ad trackeradsLibraryUp to 100 adsadsLibrary: $0.002 per record
A candidate sourcing assistantsearchPeople, profilesUp to 50 peoplesearchPeople: $0.004 per record
A CRM enrichment jobprofilesUp to 10 profilesprofiles: $0.004 per record
A prospect interest digestprofileComments, profileReactionsUp to 100 commentsprofileComments: $0.002 per record
A company page growth trackercompanies, historyUp to 10 companiescompanies: $0.004 per record

How to start

  1. Sign up. An agent registers itself with one POST and starts with $0.10 of free credit; a person can sign up on the site instead.
  2. Quote the first call for free: send the searchPeople request with "estimateOnly": true and read the price before anything is spent.
  3. Run the same call with "maxUsd" set as a ceiling, and keep the rows it returns.
  4. Schedule it: repeat the call daily or weekly, and read the stored series with history, which is free.

Operations used

Questions people ask.

Where should the handles come from?

From evidence: a people search, a company search, or a pasted URL. A handle typed from a guess can belong to someone else and is still charged.

Do I need a LinkedIn account to build these?

No. The API reads public data and never asks for your login, password or cookie.

What does a run cost?

LinkedIn records are priced from $0.001 per record. A call can carry a minimum, so send it first with "estimateOnly": true. The quote is free and is the most the call can cost.

Can an AI agent build and run these on its own?

Yes. It signs itself up with one call and gets $0.10 free, quotes each call before it spends, and pays from a prepaid balance. "maxUsd" caps every call, and only a person can add money.

Try it in a minute. $0.10 free.

The playground runs any endpoint by hand: pick a platform and what you want from it, fill a short form named in plain words (or press Use sample input), see the free quote on the Run button, run it, then read the answer as a table or JSON and download it as CSV or JSON. The same call is written out as cURL, Python and Node while you type.

Try in playground

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Why people pick API for Agents

  • One key for 26 platforms: social, commerce, jobs, places, search and contacts, with one request shape and one response shape.
  • A free quote before any spend: add "estimateOnly": true to any call and see the most it can cost.
  • Pay per record in US dollars. No subscription, nothing expires, top-ups from $5.
  • $0.10 free to try, no card. An AI agent can sign itself up in one request; a person claims it later.
  • Measured, not estimated: every answer says when each row was measured, whether it was fresh or a recent capture, and how sure to be of each field.
  • Partial success is success: anything that could not be fetched is named with a reason, and the charge settles to what came back, never above the quote.
  • Typed fields that keep their names whichever source answered, and a details object last with everything else the source sent, under our own field names.
  • Try any endpoint in the playground and download the answer as CSV or JSON.

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