본문으로 건너뛰기
cccskills
무료GitHub에 공개

apollo-core-workflow-a

Build Apollo.io lead workflows that search for people and organizations, enrich selected contacts with additional details, and score leads before spending credits. Use filters such as company domain, title, seniority, location, industry, and employee range.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Implement Apollo.io lead search and enrichment workflow. Use when building lead generation features, searching for contacts, or enriching prospect data from Apollo. Trigger with phrases like "apollo lead search", "search apollo contacts", "find leads in apollo", "apollo people search", "enrich contacts apollo".

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Finding decision makers at target companies
  • Searching organizations by industry and size
  • Enriching and scoring selected lead records

포함된 파일(2)

  • SKILL.md8.1 KB
  • references/implementation-guide.md6.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Apollo Core Workflow A: Lead Search & Enrichment

Overview

Build the core Apollo.io prospecting pipeline: search for people and organizations, then enrich the best leads. Key distinction — search is free (no credits), enrichment costs credits. This skill uses the correct endpoints and x-api-key header authentication.

Prerequisites

  • Completed apollo-install-auth setup
  • Valid Apollo API key with search + enrichment permissions
  • Understanding of your Ideal Customer Profile (ICP)

Instructions

Step 1: Search for People (Free — No Credits)

The People API Search endpoint (POST /mixed_people/api_search) searches Apollo's 275M+ database. It does not return emails or phone numbers — use enrichment for that.

// src/workflows/lead-search.ts
import axios from 'axios';

const client = axios.create({
  baseURL: 'https://api.apollo.io/api/v1',
  headers: { 'Content-Type': 'application/json', 'x-api-key': process.env.APOLLO_API_KEY! },
});

interface PersonSearchParams {
  domains: string[];
  titles?: string[];
  seniorities?: string[];    // "c_suite", "vp", "director", "manager", "senior"
  locations?: string[];       // "United States", "San Francisco, California"
  page?: number;
  perPage?: number;
}

export async function searchPeople(params: PersonSearchParams) {
  const { data } = await client.post('/mixed_people/api_search', {
    q_organization_domains_list: params.domains,
    person_titles: params.titles,
    person_seniorities: params.seniorities,
    person_locations: params.locations,
    include_similar_titles: true,
    page: params.page ?? 1,
    per_page: params.perPage ?? 25,
  });

  return {
    people: data.people,
    total: data.pagination.total_entries,
    totalPages: data.pagination.total_pages,
    page: data.pagination.page,
  };
}

Step 2: Search for Organizations (Free)

// src/workflows/org-search.ts
interface OrgSearchParams {
  keywords?: string;
  locations?: string[];
  employeeRanges?: string[];  // ["1,10", "11,50", "51,200", "201,500"]
  industries?: string[];
  revenueRanges?: string[];   // ["0,1000000", "1000000,10000000"]
}

export async function searchOrganizations(params: OrgSearchParams) {
  const { data } = await client.post('/mixed_companies/search', {
    q_organization_keyword_tags: params.keywords ? [params.keywords] : undefined,
    organization_locations: params.locations,
    organization_num_employees_ranges: params.employeeRanges,
    organization_industry_tag_ids: params.industries,
    organization_revenue_ranges: params.revenueRanges,
    page: 1,
    per_page: 25,
  });

  return data.organizations.map((org: any) => ({
    id: org.id,
    name: org.name,
    domain: org.primary_domain,
    industry: org.industry,
    employees: org.estimated_num_employees,
    revenue: org.annual_revenue_printed,
    city: org.city,
    state: org.state,
  }));
}

Step 3: Enrich a Single Person (1 Credit)

// src/workflows/enrich.ts
export async function enrichPerson(params: {
  email?: string;
  linkedinUrl?: string;
  firstName?: string;
  lastName?: string;
  domain?: string;
}) {
  const { data } = await client.post('/people/match', {
    email: params.email,
    linkedin_url: params.linkedinUrl,
    first_name: params.firstName,
    last_name: params.lastName,
    organization_domain: params.domain,
    reveal_personal_emails: false,
    reveal_phone_number: true,
  });

  if (!data.person) return null;
  const p = data.person;

  return {
    id: p.id,
    name: p.name,
    title: p.title,
    email: p.email,
    phone: p.phone_numbers?.[0]?.sanitized_number,
    company: p.organization?.name,
    companyDomain: p.organization?.primary_domain,
    linkedinUrl: p.linkedin_url,
    seniority: p.seniority,
    city: p.city,
    state: p.state,
  };
}

Step 4: Bulk Enrich People (Up to 10 per Call)

export async function bulkEnrichPeople(details: Array<{
  email?: string;
  linkedin_url?: string;
  first_name?: string;
  last_name?: string;
  organization_domain?: string;
}>) {
  const { data } = await client.post('/people/bulk_match', {
    details,
    reveal_personal_emails: false,
    reveal_phone_number: false,
  });

  return (data.matches ?? []).map((match: any) => ({
    id: match.id,
    name: match.name,
    email: match.email,
    title: match.title,
    company: match.organization?.name,
  }));
}

Step 5: Build a Combined Lead Pipeline

export async function buildLeadPipeline(targetDomains: string[]) {
  const leads: any[] = [];

  for (const domain of targetDomains) {
    // Step A: Search for decision-makers (free)
    const { people } = await searchPeople({
      domains: [domain],
      seniorities: ['vp', 'director', 'c_suite'],
    });

    // Step B: Score leads before enriching (save credits)
    const worthEnriching = people.filter((p: any) => scoreLead(p) >= 50);

    // Step C: Bulk enrich top leads (costs credits)
    if (worthEnriching.length > 0) {
      const enriched = await bulkEnrichPeople(
        worthEnriching.map((p: any) => ({
          first_name: p.first_name,
          last_name: p.last_name,
          organization_domain: domain,
        })),
      );
      leads.push(...enriched);
    }
  }

  return leads.sort((a, b) => scoreLead(b) - scoreLead(a));
}

function scoreLead(person: any): number {
  let score = 0;
  if (person.email) score += 30;
  if (person.phone_numbers?.length) score += 20;
  if (['c_suite', 'vp', 'founder', 'owner'].includes(person.seniority)) score += 30;
  else if (['director'].includes(person.seniority)) score += 20;
  if (person.linkedin_url) score += 10;
  if (person.city) score += 10;
  return score;
}

Output

  • People search via POST /mixed_people/api_search (free, no credits)
  • Organization search via POST /mixed_companies/search (free)
  • Single person enrichment via POST /people/match (1 credit)
  • Bulk enrichment via POST /people/bulk_match (up to 10 per call)
  • Lead scoring to minimize credit spend before enriching

Error Handling

ErrorCauseSolution
Empty people arrayToo narrow criteriaBroaden seniority levels, add include_similar_titles: true
null from enrichmentPerson not in Apollo databaseTry enriching via LinkedIn URL instead of name+domain
429 Rate LimitedToo many requests/minuteBatch requests with 500ms delays between calls
403 ForbiddenStandard key used for enrichmentUpgrade to master API key in Apollo dashboard

Examples

Quick ICP Search

// Find Series B SaaS companies with 50-500 employees
const companies = await searchOrganizations({
  keywords: 'SaaS',
  employeeRanges: ['51,200', '201,500'],
  locations: ['United States'],
});

// Find VPs of Sales at those companies
for (const company of companies.slice(0, 10)) {
  const { people, total } = await searchPeople({
    domains: [company.domain],
    titles: ['VP Sales', 'Head of Sales', 'VP Revenue'],
  });
  console.log(`${company.name} (${company.domain}): ${total} contacts`);
}

Resources

Next Steps

Proceed to apollo-core-workflow-b for email sequences and outreach.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Add a synthetic-data CI gate for customer-owned Abridge integration code. Test consent handling, note-review handoffs, redaction, and rollback behavior with mocked vendor boundaries, without connecting CI to a live Abridge or EHR tenant.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Adding regression checks to an Abridge integration repository
  • Testing consent and note-release handling
  • Checking logs for sensitive data exposure
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 25일 업데이트

Triage Abridge recording, note review, Epic handoff, and access problems using observed symptoms and approved guidance. Identify the affected workflow stage, organize a minimal timeline, and prepare a redacted escalation record for the responsible team.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Separate recording problems from upload failures
  • Investigate note creation delays and editor issues
  • Identify the responsible team for Epic handoff failures
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 25일 업데이트

Map and review an Abridge clinical documentation workflow from consent and recording through draft review, evidence checks, edits, and final disposition. Keep clinician approval explicit, identify failure exits, and separate verified facts from tenant-specific details and pending approvals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Map a clinical note workflow for a care setting
  • Check where consent and patient identity are verified
  • Review draft notes against linked evidence before sign-off
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 25일 업데이트

Audit how clinician-reviewed Abridge note sections map into Epic templates and downstream workflows. Use approved test records to document destinations, exceptions, evidence, rollback steps, and a go or no-go decision for a specific environment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Checking Abridge note section mappings to Epic templates
  • Auditing a department’s approved documentation handoff
  • Preparing test evidence and a go or no-go decision
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 25일 업데이트

Review Abridge adoption and workflow value using local usage records, clinician feedback, and verified contract costs. Build an evidence based decision table covering adoption, quality, support burden, and options to expand, hold, or improve the rollout.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Reviewing adoption after an Abridge rollout
  • Preparing evidence for a renewal decision
  • Comparing workflow outcomes across care settings
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 25일 업데이트

Prepare a bounded support bundle for an Abridge issue using allowlisted operational details such as versions, coarse timestamps, and correlation references. Exclude recordings, transcripts, patient identifiers, credentials, and unrestricted logs, then document redactions and review details.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Preparing reviewed evidence for an Abridge support case
  • Documenting redactions and excluded data
  • Collecting approved operational details for an incident
jeremylongshore/tons-of-skills-marketplace2.9천2026년 10월 25일 업데이트

jeremylongshore의 스킬 모두 보기

이 스킬의 문제 신고