Enrichment built intoevery scenario.
Add a single HTTP module to any Make scenario. Get 250+ enriched fields back — contact profile, company data, financials, tech stack — in real time.
Example scenario — Enrich new CRM deal
Attio — Watch new deals
company name, domain, owner
GET /api/ingress/v4/firmographic
headcount, industry, funding, HQ…
GET /api/ingress/v4/funding
revenue range, investors, rounds
Attio — Update deal attributes
ICP score fields populated
Setup
Add enrichment to any scenario
in 3 steps.
Use Make’s built-in HTTP module — no custom integration to install.
Add an HTTP module to your scenario
In Make, add a module → search “HTTP” → “Make a request”. Method: GET, URL: the endpoint you need.
Map query params & parse response
Add apiId + your identifiers as query string params. The JSON response maps directly to your next modules.
Example — HTTP module configuration in Make
Method: GET
URL: https://gateway.enrich-crm.com/api/ingress/v4/contact
Query String (add each as a separate param):
Name: apiId Value: YOUR_API_KEY
Name: email Value: {{1.email}} ← from previous module
Name: firstName Value: {{1.firstName}}
Name: companyName Value: {{1.company}}
Parse response: ✓ Yes
→ Returns JSON with 250+ fields you can map to any moduleEndpoints
10 enrichment actions.
One API key.
All endpoints accept multiple input identifiers — pass what you have, we handle the rest server-side.
Enrich Contact
250+ fields: email, title, seniority, company data
/api/ingress/v4/contactReverse Email
Contact + company profile from any email address
/api/ingress/v4/reverse-emailFind Email
Professional email from name + domain or LinkedIn
/api/ingress/v4/find-emailFirmographic
Headcount, industry, founded, HQ, tech stack
/api/ingress/v4/firmographicFinancial Data
Revenue, funding rounds, investors, ARR estimates
/api/ingress/v4/fundingSIREN Finder
French SIREN number from company name or domain
/api/ingress/v4/siren-company-finderSIRENE Data
Official French registry: NAF, legal form, address
/api/ingress/v4/french-sirenTech Stack
Technologies detected on any company website
/api/ingress/v4/tech-stackWebsite Traffic
Monthly visits, top countries, traffic sources
/api/ingress/v4/website-trafficHomepage Content
Scraped homepage: tagline, description, keywords
/api/ingress/v4/homepage-contentUse cases
Scenarios people actually run.
1Lead scoring: enrich + route inbound leads automatically
Scenario structure
email, companyNamedomaincompanyHeadcount > 200 AND seniority = VP/Director → Attio “Hot leads” pipeline · else → Mailchimp nurtureFields used for scoring
seniorityjobTitlecompanyHeadcountindustryfundingStagehqCountryconfidenceScoreWhy it matters
Score and route inbound leads the moment they submit a form — based on real company data, not guesses. No CRM clutter from unqualified leads.
Scoring logic example
seniority: "VP" → +20 pts
companyHeadcount: 450 → +15 pts
fundingStage: "Series C" → +10 pts
industry: "SaaS" → +10 pts
hqCountry: "France" → +5 pts
─────────────────────────────────────
Total: 60 pts → Route: HOT LEAD2Bulk CRM enrichment — nightly sync
Scenario structure
Enriched__c = false, limit 500email or linkedinUrlEnriched__c = trueFields written to CRM
jobTitlesenioritydepartmentlinkedinUrlcompanyHeadcountindustryhqCityhqCountryfundingStageWhy it matters
Your CRM accumulates incomplete contacts every day. This scenario enriches them overnight — no manual export, no CSV import, your database stays fresh automatically.
Scale & cost
500 contacts/night
× 30 nights = 15,000 enrichments/month
× €0.035/credit = €525/month
→ vs. hiring 1 SDR for manual research
at €3,000+/month3Waterfall email finder — maximize find rate
Scenario structure
contactLinkedinUrl (attempt 1)email empty → try firstName + domain (attempt 2)emailConfidenceScore > 0.8 → mark verified · else → flag for reviewFields returned
emailemailConfidenceScoreemailTypeemailVerifiedfirstNamelastNamecompanyNamedomainWhy it matters
No single method finds every email. Cascading LinkedIn → name+domain maximizes your find rate on any list — even messy exports from LinkedIn or events.
Example output
email: "j.martin@acme.fr"
emailConfidenceScore: 0.93
emailType: "professional"
emailVerified: true
firstName: "Julie"
lastName: "Martin"
domain: "acme.fr"4French SIREN auto-fill for deals and invoicing
Scenario structure
companyNamesirenNumberFields returned
sirenNumbersiretNumbernafCodenafLabellegalFormregisteredAddressheadcountCategoryvatNumberWhy it matters
Close a deal with a French company → all legal data auto-populates in your invoicing tool. Finance never has to ask sales for the SIREN again.
Example output
sirenNumber: "812345678"
siretNumber: "81234567800012"
nafCode: "6201Z"
nafLabel: "Programmation informatique"
legalForm: "SAS"
registeredAddress: "12 rue de Rivoli, 75001 Paris"
vatNumber: "FR12812345678"5Company financial data to qualify deals before a call
Scenario structure
domain or companyNamedomainFields returned
fundingStagetotalFundingAmountlastFundingDateinvestors[]annualRevenueEstimatecompanyHeadcountyearFoundedhqCountryWhy it matters
Your AE walks into every discovery call knowing the prospect’s funding stage, last raise, key investors, and revenue estimate. No more Crunchbase tab during the call.
Example Slack brief output
🏢 Acme Corp · Series B · €12M raised
📅 Last round: Sep 2024
👥 Investors: Kima, Idinvest
💰 Revenue estimate: €3–8M ARR
🌍 HQ: Paris, France · 85 employees
📈 YoY growth: +40% (LinkedIn signals)6Personalize outreach with homepage content scraping
Scenario structure
domainemailFields returned
taglinedescriptionkeywords[]mainProducts[]targetAudiencevaluePropositionlanguagelastScrapedAtWhy it matters
Combine their homepage copy + the contact’s job title → feed into an LLM to generate a hyper-personalized first line for every prospect. At scale, automatically.
Example — acme.io homepage content
tagline: "The all-in-one platform for
B2B revenue teams"
description:"We help sales teams close deals
faster with AI-powered insights"
keywords: ["B2B sales","revenue ops","CRM","AI"]
targetAudience: "Sales directors, RevOps leads"
→ Generated first line:
"Saw Acme is doubling down on AI for B2B sales —
curious if enriching your CRM data is on your
roadmap this quarter."7Enrich Sales Navigator exports — email + full profile
Scenario structure
contactLinkedinSalesNavUrlemail found → push to Lemlist · else → flag in SheetsFields returned
emailemailConfidenceScorejobTitlesenioritydepartmentcompanyHeadcountindustryhqCityfundingStagelinkedinUrlWhy it matters
Turn a raw Sales Navigator list into a launch-ready outbound sequence in minutes. Email found, profile enriched, data synced to your tool — zero manual work.
Input → output
Input:
contactLinkedinSalesNavUrl:
"linkedin.com/sales/people/ACoAAB..."
→ Returns:
email: "c.martin@scale.io"
emailConfidenceScore: 0.92
jobTitle: "VP of Sales"
seniority: "VP"
companyHeadcount: 320
fundingStage: "Series C"Ready to enrich your Make scenarios?
Start free — 500 credits, no credit card. Your first enriched scenario in under 5 minutes.