Company Intent Signals avatar

Company Intent Signals

Pricing

from $50.00 / 1,000 company intent lookups

Go to Apify Store
Company Intent Signals

Company Intent Signals

Look up which topics a company is researching. One domain in, intent topics out. $0.05 per successful lookup.

Pricing

from $50.00 / 1,000 company intent lookups

Rating

0.0

(0)

Developer

CAG Signals

CAG Signals

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

12 hours ago

Last modified

Categories

Share

Given a company domain (or LinkedIn company URL), find out which topics that company's people are currently researching — real buying-intent signal for account-based marketing and sales prioritization, powered by Delivr.ai's identity and intent graph.

Which Actor should I use?

We publish four Actors. Start at the top.

  1. Company Intent Signals — first look, one domain, $0.05. https://apify.com/cag_ai-actors/company-intent-signals
  2. B2B Account Intent Finder — new companies on your topics. Preview up to 25 companies, then $0.15 per matched account. https://apify.com/cag_ai-actors/b2b-account-intent-finder
  3. B2B Buyer Intent Enrichment — you already have a list. $0.15 per match. https://apify.com/cag_ai-actors/b2b-buyer-intent-enrichment
  4. Topic-Based Lead Prospecting — Later. For new companies from a theme, use Account Intent Finder. For a first look at one company, use Company Intent Signals. https://apify.com/cag_ai-actors/topic-based-lead-prospecting

This is the simplest, single-lookup tool in our intent-data lineup — one domain in, its intent topics out, nothing else. If you need more than that, see "Which tool should I use?" below.

What you get

For each company you submit, a dataset item with:

  • matched — whether the company was resolved
  • matched_on — which identifier resolved it (domain or linkedin_company_url)
  • topics — an array of matched intent topics, each with:
    • topic_name — the researched topic
    • score — intent tier (high or medium)
    • perc_score — percentile intent score
    • people_count — number of people at that company showing intent on this topic

No person-level data is included. This Actor returns company-level intent signals only — no names, emails, or other personal information.

Which tool should I use?

We publish three Delivr.ai-powered intent tools. They answer different questions — pick by what you're trying to do:

ToolQuestion it answersBest for
Company Intent Signals (this one)"What is this specific company researching?"A quick, single-purpose lookup on a known company — no batch tooling, no extra modes, lowest price.
B2B Buyer Intent Enrichment"Add intent data to a list I already have"Bulk enrichment (up to 10,000 records per run) of either people or companies, with cost-preview and demo modes before you commit spend.
B2B Account Intent Finder"Which new companies are researching a topic?"Prospecting/lead discovery — you give a topic, it finds and ranks the companies, not the other way around.

If you're enriching an existing list, or need person-level data, or want to preview costs before charging — use B2B Buyer Intent Enrichment instead. If you're discovering new accounts from a topic, use B2B Account Intent Finder. Use this Actor when you already know the company and just want a fast, simple answer.

Input

{
"companies": [
{ "domain": "example.com" },
{ "linkedinCompanyUrl": "https://linkedin.com/company/acme" }
]
}

Each entry needs either a domain or a linkedinCompanyUrl. An entry with neither isn't rejected at input time (Apify's schema validator can't express "one of these two fields") — it comes back in the output as an error item instead, and isn't charged.

Pricing

Pay-per-event: one company-intent-lookup charge per successfully looked-up company. Companies that fail to resolve are still returned in the output (with an error field) and are not charged.

Notes

  • Unmatched companies return matched: false with an empty topics array — this is a normal result, not an error.
  • Set ACTOR_MAX_TOTAL_CHARGE_USD on the run to cap total spend for large input lists.