B2B Procurement Leadgen Without Apollo (2026)

An r/ClaudeAI thread asked for ~50 procurement managers in Spanish B2B firms. Apollo was on the table; the OP wanted something more cost-effective for what is essentially a one-off list. This is the Claude + Scavio loop that produces it for under $2.

When Apollo's per-seat tax doesn't pencil

Apollo Basic is $49/user/mo on annual billing, $59 monthly. For continuous outbound at >1K leads/mo per rep, that's fine — the contact DB earns the seat. For one-off lists in non-English markets, it's a tax. The OP wanted 50 names, once, in Spain. Adding one Spanish-language seat for a single export pulls the math underwater.

The role-translation problem Apollo doesn't fix

Apollo's data depth is uneven across non-English markets. "Procurement Manager" in Spain is "Director de Compras" or "Jefe de Aprovisionamientos" or "Responsable de Compras". The English-only filter often misses the actual title in the LinkedIn snippet. You spend Apollo seat money to get a partial list anyway.

The dorked-search loop

Same job, different shape. Generate dorks across LinkedIn + Spanish business registries (Axesor, eInforma) + financial press (Expansión). Run Scavio on each dork. Pass the results to Claude/GPT for structured extraction with the role wording in the target language as a hard filter.

import requests, os
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}

ROLES_ES = [
    'director de compras',
    'jefe de aprovisionamientos',
    'responsable de compras',
]

def discover(role):
    dorks = [
        f'site:linkedin.com/in "{role}" Spain',
        f'site:linkedin.com/in "{role}" Madrid OR Barcelona',
        f'site:axesor.es "{role}"',
        f'site:expansion.com "{role}" 2026',
    ]
    out = []
    for q in dorks:
        r = requests.post(
            'https://api.scavio.dev/api/v1/search',
            headers=H,
            json={'query': q}
        ).json()
        out.extend(r.get('organic_results', [])[:10])
    return out

The LLM extraction step

Pass the Scavio results to Claude with an explicit schema: {name, role, company, linkedin_url, source}. Force the LLM to filter on procurement-intent role wording in Spanish — not English. This catches names Apollo silently drops because the title field doesn't map cleanly. Dedup across dorks by hash(name + company); the same person shows up on multiple sources.

(Optional) Email validation

Hunter Starter at $34/mo is the cheapest path to validated emails on a list this size. Or run dorks like site:COMPANY.com "{name}" + mailto patterns to find emails inline, then validate with ZeroBounce / NeverBounce per-email. Skip validation and your bounce rate kills domain reputation.

Cost math

50-name list: ~150 Scavio calls × $0.0043 = $0.65 in search. Plus ~$0.50 in LLM tokens for the extraction + ~$0.50 for email validation. Under $2 total. Apollo Basic for one user: $49/mo minimum. The break-even between Scavio loop and Apollo is roughly the second list per quarter.

Reusable for any country/role

This is the durable benefit. Swap the role wording list. Swap the registry dorks (Axesor → Companies House for UK, Bundesanzeiger for Germany, KartV.A. for Hungary). The orchestration code doesn't change. The same loop produces a Czech procurement list next quarter for the same $2.

Where Apollo still wins

Continuous outbound at >1K leads/mo per rep, sequence cadence built in, dialer integration, weekly DB refreshes. If the use case is "build a 5-rep SDR team for the next 12 months", Apollo earns its seats. If it's "give me 50 procurement managers in Spain by Friday", Scavio + Claude is the right shape.