Does LinkedIn Markets Prospects — Qualified Finance Leads need an API key or login?

No. None of its inputs is a credential, and it reads only public data. Nothing to sign up for before the first run.

How do I run LinkedIn Markets Prospects — Qualified Finance Leads?

It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.

LinkedIn Markets Prospects — Qualified Finance Leads

Turn a LinkedIn search into qualified prospects — each with a fit score and a written reason to contact them — instead of a pile of raw profiles.

LinkedIn Markets Prospects — Qualified Finance Leads returns 30 documented output fields, including score, matched, linkedin_url, public_identifier and first_name. Every field carries a declared type, a written description and an example value. 4 runs are recorded on Apify.

Run it on ApifyPay per result · no subscription

30: Output fields
12: Inputs
4: Runs
2026-10-15: Last run

01 — output

What it returns

Every field the extractor writes to its dataset, with its type, a written description and an example value.

Field	Type	What it holds	Example
score	string \| number \| boolean \| array \| objectnull	Score on the Actor's own scale. The scale is stated in the field's own band.	[]
matched	arraynull	Matched as recorded for this row.	[]
linkedin_url	string \| number \| boolean \| array \| objectnull	Linkedin url as recorded for this row.	[]
public_identifier	string \| number \| boolean \| array \| objectnull	Public identifier as recorded for this row.	[]
first_name	string \| number \| boolean \| array \| objectnull	First name as recorded for this row.	[]
last_name	string \| number \| boolean \| array \| objectnull	Last name as recorded for this row.	[]
full_name	arraynull	Full personal or entity name as published.	[]
headline	stringnull	Headline as published.
company_name	string \| number \| boolean \| array \| objectnull	Registered company name.	[]
company_linkedin	string \| number \| boolean \| array \| objectnull	Company linkedin as recorded for this row.	[]
company_type	string \| number \| boolean \| array \| objectnull	Company type as recorded for this row.	[]
city	string \| number \| boolean \| array \| objectnull	The city this row relates to.	London
country	string \| number \| boolean \| array \| objectnull	Country code associated with this record.	[]
connections	numbernull	Connections as recorded for this row.	0
matched_terms	string \| number \| boolean \| array \| objectnull	Matched terms as recorded for this row.	[]
why_them	string \| number \| boolean \| array \| objectnull	Why them as recorded for this row.	[]
icp_path	string \| number \| boolean \| array \| objectnull	Icp path as recorded for this row.	[]
stage	stringnull	Stage as recorded for this row.
summary	string \| number \| boolean \| array \| objectnull	Short human-readable summary of this row.	[]
queries_run	string \| number \| boolean \| array \| objectnull	Queries run as recorded for this row.	[]
kept	integernull	Kept as recorded for this row.
discarded	integernull	Discarded as recorded for this row.
keep_rate	numbernull	Percentage of scanned profiles kept, to one decimal. Null when nothing was scanned.
scores_5	string \| number \| boolean \| array \| objectnull	Scores 5 as recorded for this row.	[]
scores_4	string \| number \| boolean \| array \| objectnull	Scores 4 as recorded for this row.	[]
scores_3	string \| number \| boolean \| array \| objectnull	Scores 3 as recorded for this row.	[]
scores_2	string \| number \| boolean \| array \| objectnull	Scores 2 as recorded for this row.	[]
scores_1	string \| number \| boolean \| array \| objectnull	Scores 1 as recorded for this row.	[]
countries_kept	integernull	Countries kept as recorded for this row.
without_reason	integernull	How many kept prospects have no specific reason recorded.	[]

02 — sample

One record

Assembled from the example values declared on the schema above, not invented at render time.

{
  "score": "[]",
  "matched": [],
  "linkedin_url": "[]",
  "public_identifier": "[]",
  "first_name": "[]",
  "last_name": "[]",
  "full_name": [],
  "headline": ""
}

03 — input

What you give it

Input	Type	Description
mode	stringoptional	Qualify a dataset you already have (free), or plan and run the searches yourself (paid).
dryRun	booleanoptional	ON by default. Shows exactly which searches would run and the estimated cost, then stops. Turn this OFF when you are happy with the plan — that is the only thing standing between you and a paid scrape.
datasetId	stringoptional	Only used in 'Qualify an existing dataset' mode. Paste the dataset id from a LinkedIn search actor's run.
jobTitles	arrayoptional	One search runs per title for every city below. Titles decide who, so be specific — 'Portfolio Manager' finds buyers, 'Investment' finds everybody.
cities	arrayoptional	Splitting by city is how you get past LinkedIn's hard limit of 2,500 results per search — it silently stops there, so one broad query quietly returns a fraction of what exists.
industryIds	arrayoptional	Filter to an industry. 43 is Financial Services, which is what most users want here. Leave as-is unless you know the code you need.
pagesPerQuery	integeroptional	One page is up to 25 profiles. Cost scales directly with this number, so it is the main dial on what a run spends.
minScore	integeroptional	0 keeps everybody including recruiters; 3 keeps only people with real market relevance; 5 keeps only near-perfect fits. Rows below this are dropped, not hidden.
maxItems	integeroptional	Hard limit on prospects written. Enforced exactly — the best-scoring rows are kept when it bites, never whoever happened to be scraped first.
icpPath	stringoptional	Carried onto every row so a list can be split later. A = traders and analysts, B = small funds and emerging managers, C = institutional.
readLimit	integeroptional	Safety valve on how much raw data is pulled before qualifying. Rarely needs changing.
timeoutSecs	integeroptional	How long a single search may run before it is abandoned. Abandoned searches do not fail the whole run.

04 — run

Run LinkedIn Markets Prospects on your own input

It runs in the cloud on Apify. Nothing to install, and you are billed per result returned rather than per attempt.

Open on Apify ↗

Also in lead generation, business

05 — questions

Asked before running it

30 of 30 fields described

What does LinkedIn Markets Prospects — Qualified Finance Leads return?: It returns 30 documented output fields: score, matched, linkedin_url, public_identifier, first_name, last_name, full_name, headline, company_name, company_linkedin, company_type and city. Each field declares its type, a description of what it holds, and an example value. The remaining 18 are listed in the output schema below.
What input does LinkedIn Markets Prospects — Qualified Finance Leads take?: All 12 inputs are optional and ship with usable defaults, so it runs as-is. They are listed with their types below.
Does LinkedIn Markets Prospects — Qualified Finance Leads need an API key or login?: No. None of its inputs is a credential, and it reads only public data. Nothing to sign up for before the first run.
How do I run LinkedIn Markets Prospects — Qualified Finance Leads?: It runs on Apify. Start it from its listing with the inputs above, or call the Apify API with the Actor's ID. Results land in a dataset you can export as JSON, CSV or Excel, or read through the Apify API into your own pipeline.