Company Intent Scorer: Hiring, Funding & News Signals

Grade a list of companies A-D on real buying-readiness signals - hiring activity, funding events, and news momentum - with a plain-English reason behind every score for sales prioritization.

Open in Apify Store$0.99 / 1K on Free

Short answer

Company Intent Scorer: Hiring, Funding & News Signals is an Apify Store Actor that returns 17 published output fields, including companyName, domain, grade, score. It lists $0.99 per 1,000 results on the Free plan (pay per event), $0.49 on the Business plan. It takes 13 input settings, none required. Last updated Oct 31, 2026.

From the public Store listing and published build schema, synced 2026-11-12.
Lead generationJobsNews

What it returns

17 fields from the published dataset schema. Export as JSON, CSV or Excel, or read the dataset through the Apify API.

  • companyName
  • domain
  • grade
  • score
  • priorityFlag
  • topSignal
  • rationale
  • ats
  • careersUrl
  • hiringSignal
  • fundingSignal
  • newsSignal
  • execChangeSignal
  • riskSignal
  • techStackSignal
  • targetTechnology
  • monitor

Input

SettingTypeRequiredDefaultWhat it does
mode string No score Score every company, or compare this run with the previous run for the same monitor key.
companiesText string No – Paste company names, one per line. Domains and careers URLs are accepted in the advanced list below.
companies array No – Advanced list. Each item can include companyName (or name), domain, careersUrl, ats, atsToken and disambiguator. Plain strings are also accepted. If provided, this overrides the text list.
signals array No ["hiring","funding","news","execChanges","lay… Buying signals to check. Disabling a scored signal normalizes the remaining weights to 100.
lookbackDays integer No 90 Funding, news and executive-change window. News trend counts also cover 7, 30 and 90 days.
minScore integer No 0 Drop scored companies below this intent score. Error records are always kept.
targetTechnology string No – Optional technology to check on the company homepage, e.g. HubSpot or Marketo. The gap result does not change the intent score.
includeRawSignals boolean No false In full output, add sample job titles and the top news headlines for auditing.
outputFormat string No compact compact returns ranking fields plus top signals. full adds the score breakdown and per-signal detail.
maxCompanies integer No 100 Hard cap on companies processed per run.
Show the other 3 settings
SettingTypeRequiredDefaultWhat it does
maxConcurrency integer No 3 How many companies to process in parallel. Lower values are gentler on public sources.
monitorKey string No – (mode=monitor) Name of the tracking history. Use the same key each run to compare against the previous snapshot.
emitUnchanged boolean No false (mode=monitor) Include companies with no new or resolved signals and no score change.

Example input

Built from the input form's published example values and defaults.

{
  "mode": "score",
  "companiesText": "Figma\nNotion\nLinear",
  "signals": [
    "hiring",
    "funding",
    "news",
    "execChanges",
    "layoffs",
    "techStack"
  ],
  "lookbackDays": 90,
  "minScore": 0,
  "includeRawSignals": false,
  "outputFormat": "compact",
  "maxCompanies": 3,
  "maxConcurrency": 3,
  "emitUnchanged": false
}

Run it from code or an AI agent

The same run through the Apify API, with the example input. You need an Apify API token; the run is billed to your account at the Store price.

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run_input = {
    "mode": "score",
    "companiesText": "Figma\nNotion\nLinear",
    "signals": [
        "hiring",
        "funding",
        "news",
        "execChanges",
        "layoffs",
        "techStack"
    ],
    "lookbackDays": 90,
    "minScore": 0,
    "includeRawSignals": False,
    "outputFormat": "compact",
    "maxCompanies": 3,
    "maxConcurrency": 3,
    "emitUnchanged": False
}

run = client.actor("dataspryva/company-intent-scorer-hiring-funding-and-news").call(run_input=run_input)
if run is None:
    raise RuntimeError("The Actor run was not found.")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

pip install apify-client

JavaScript

import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "<YOUR_APIFY_TOKEN>" });
const input = {
    "mode": "score",
    "companiesText": "Figma\nNotion\nLinear",
    "signals": [
        "hiring",
        "funding",
        "news",
        "execChanges",
        "layoffs",
        "techStack"
    ],
    "lookbackDays": 90,
    "minScore": 0,
    "includeRawSignals": false,
    "outputFormat": "compact",
    "maxCompanies": 3,
    "maxConcurrency": 3,
    "emitUnchanged": false
};

const run = await client.actor("dataspryva/company-intent-scorer-hiring-funding-and-news").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

npm install apify-client

cURL

curl -X POST "https://api.apify.com/v2/actors/dataspryva~company-intent-scorer-hiring-funding-and-news/run-sync-get-dataset-items"   -H "Authorization: Bearer $APIFY_TOKEN"   -H "Content-Type: application/json"   -d '{"mode":"score","companiesText":"Figma\nNotion\nLinear","signals":["hiring","funding","news","execChanges","layoffs","techStack"],"lookbackDays":90,"minScore":0,"includeRawSignals":false,"outputFormat":"compact","maxCompanies":3,"maxConcurrency":3,"emitUnchanged":false}'

Waits for the run and returns the dataset items (runs over 300 seconds return HTTP 408; start an async run instead).

MCP (AI agents)

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com?tools=dataspryva/company-intent-scorer-hiring-funding-and-news",
      "headers": {
        "Authorization": "Bearer <YOUR_APIFY_TOKEN>"
      }
    }
  }
}

Adds this Actor as a tool in an MCP client that takes a remote server URL (Cursor, VS Code, Claude Code) through Apify's hosted MCP server. OAuth sign-in also works without the header. Clients that only start local servers can wrap the URL with npx mcp-remote.

What a run costs

The result rate falls on higher Apify plans. Each figure is the published per-result rate times the number of results.

Apify planPer 1,00010,000 results100,000 results
Free plan$0.99$9.90$99
Starter plan$0.82$8.20$82
Scale plan$0.66$6.60$66
Business plan$0.49$4.90$49
  • Every run also has a start event, charged per GB of memory (minimum one): $0.10 on Free, $0.03 on Business. At its default memory of 4 GB a run starts at $0.40 on Free. Fewer, larger runs keep this small.
  • The Free plan includes $5 of monthly usage (Apify pricing, checked 2026-11-11); at the Free rate that covers at most about 5,050 results, less start events and platform usage.
  • Worked example: 10,000 results in one run on the Free plan cost $10.30 ($9.90 for results + $0.40 start), plus Apify platform usage (compute), billed separately by Apify.
  • Pay per event. Platform usage (compute) is billed by Apify on top of the event prices. Compare other tools in the cost estimator.

What people use it for

  • prioritize company accounts
  • identify hiring and funding signals

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Questions people ask

How much does Company Intent Scorer: Hiring, Funding & News Signals cost?

The published result rate depends on your Apify plan: $0.99 per 1,000 on Free, $0.82 per 1,000 on Starter, $0.66 per 1,000 on Scale, $0.49 per 1,000 on Business. So 10,000 results cost about $9.90 on the Free plan and $4.90 on Business, plus a start fee of $0.10 per run per GB of memory on Free. Platform usage is billed separately.

What data does Company Intent Scorer: Hiring, Funding & News Signals return?

Its published output schema lists 17 fields: companyName, domain, grade, score, priorityFlag, topSignal, rationale, ats, careersUrl, hiringSignal, fundingSignal, newsSignal, and 5 more. A listed field is not guaranteed to be filled in every row.

What input does Company Intent Scorer: Hiring, Funding & News Signals need?

No input is strictly required; the defaults run as is. Common settings: mode, companiesText, companies, signals, lookbackDays, minScore.

How do I run Company Intent Scorer: Hiring, Funding & News Signals from Python or the API?

Use the Apify API client: in Python, ApifyClient(token).actor("dataspryva/company-intent-scorer-hiring-funding-and-news").call(run_input=...), then read the run's default dataset (run.default_dataset_id); in JavaScript the same call is client.actor("dataspryva/company-intent-scorer-hiring-funding-and-news").call(input). Without a client, POST the input JSON to https://api.apify.com/v2/actors/dataspryva~company-intent-scorer-hiring-funding-and-news/run-sync-get-dataset-items with your API token. Ready-to-paste code with the example input is on this page.

Sources

Actor updated 2026-10-31 Data synced 2026-11-12
Cite this page

Scraper Finder. "Company Intent Scorer: Hiring, Funding & News Signals." https://scraperfinder.com/catalogue/company-intent-scorer-hiring-funding-and-news/ (data checked 2026-11-12).

Run Company Intent Scorer: Hiring, Funding & News Signals

$0.99 per 1,000 results. Paste the example input above, set your target query, then export the dataset.

Open in Apify Store