使用域名查找任何公司的电子邮件
使用全名查找专业电子邮件
根据关键字和位置查找公司
从YouTube频道中找到公司电子邮件
从Twitter个人资料中查找公司邮箱
找到企业并提取他们的电子邮件地址
验证电子邮件质量和可投递性
检测临时和一次性邮件
通过 API 查找任何域的电子邮件
通过 API 验证电子邮件投递情况
用职位、地点等信息丰富潜在客户
检测实时B2B购买信号
从 YouTube 和 Twitter 个人资料查找电子邮件
通过API检测虚假注册
将Minelead集成到您的应用程序中
在浏览器中访问所有Minelead功能
连接CRM平台和工具
通过推荐朋友来赚取积分
立即发现公司是否在积极购买 — 招聘、融资、扩张、IPO、新高管招聘等
扫描新闻、招聘信号和公司活动... ~15秒
Minelead监控数千个可信的B2B情报来源 - 新闻出版物、公共商业记录、招聘活动和公司信号 - 以检测实时购买意图。获得结构化的意图报告和确切的B2B需求以进行推销。
我们持续监控三种时间窗口(30天、90天、180天)内的广泛值得信赖的B2B情报来源,以挖掘最新的购买信号。
从融资轮次和高管招聘到IPO准备和人工智能招聘 — 每个信号都被分类和评分,以便您确切知道该推介什么。
每个类别都有一个策划的B2B产品或服务列表,当前公司可能会购买 — 随时可用于您的外展消息。
一个 GET 请求。适用于任何语言。几分钟内将购买意向信号直接集成到您的 CRM 或拓展工具中。
curl "https://api.minelead.io/v1/buying-intent/?key=YOUR_API_KEY&company=Stripe&domain=stripe.com"
const res = await fetch(
'https://api.minelead.io/v1/buying-intent/' +
'?key=YOUR_API_KEY&company=Stripe&domain=stripe.com'
);
const data = await res.json();
if (data.status === 'success') {
console.log('Intent level:', data.intent_level); // "hot" | "warm" | "cold" | "none"
console.log('Intent score:', data.intent_score);
console.log('Summary:', data.summary);
data.intent_categories.forEach(cat => {
console.log(cat.category, '→ sell:', cat.recommended_solutions);
});
}
import requests
resp = requests.get(
'https://api.minelead.io/v1/buying-intent/',
params={
'key': 'YOUR_API_KEY',
'company': 'Stripe',
'domain': 'stripe.com',
}
)
data = resp.json()
if data['status'] == 'success':
print('Level :', data['intent_level']) # hot / warm / cold / none
print('Score :', data['intent_score'])
for cat in data.get('intent_categories', []):
print(cat['category'], '->', cat.get('recommended_solutions', []))
$url = 'https://api.minelead.io/v1/buying-intent/?' . http_build_query([
'key' => 'YOUR_API_KEY',
'company' => 'Stripe',
'domain' => 'stripe.com',
]);
$data = json_decode(file_get_contents($url), true);
if ($data['status'] === 'success') {
echo 'Intent level: ' . $data['intent_level'] . PHP_EOL;
echo 'Score: ' . $data['intent_score'] . PHP_EOL;
}
示例响应
{
"status": "success",
"company": "Stripe",
"domain": "stripe.com",
"intent_score": 100,
"intent_level": "hot",
"confidence": "high",
"time_sensitivity": "immediate",
"summary": "Stripe is expanding through acquisitions and new markets...",
"recommended_pitch_angle": "Position solutions that support M&A integration and global expansion...",
"reasoning": "Recent acquisitions, market entries and engineering hiring drive a hot score.",
"intent_categories": [
{
"category": "merger_acquisition",
"strength": "high",
"recency": "last_30d",
"signals": [
{
"text": "Stripe is buying SMB lender Parafin",
"period": "last_30d",
"date": "2026-09-30",
"sentiment": "positive",
"source_tier": "tier_1",
"urls": ["https://www.axios.com/...", "https://www.paymentsdive.com/..."]
}
],
"recommended_solutions": ["M&A integration consulting", "Data migration services", "Legal services"]
},
{
"category": "hiring_engineering",
"strength": "low",
"recency": "last_30d",
"signals": [
{
"text": "Staff Software Engineer, Link - Bank Connections",
"period": "last_30d",
"date": "2026-09-24",
"sentiment": "neutral",
"source_tier": "tier_3",
"urls": ["https://www.linkedin.com/jobs/view/..."]
}
],
"recommended_solutions": ["Cloud infrastructure", "Developer tools", "CI/CD platforms"]
}
],
"predicted_moves": [
{
"timeframe": "6_months",
"prediction": "Stripe will buy IT integration and change management services to absorb Parafin.",
"driven_by": ["merger_acquisition"]
}
],
"signal_channels": {
"news_network": true,
"company_website": true,
"hiring_signals": true
},
"growth_trajectory": "accelerating",
"company_profile": {
"description": "Stripe is a global fintech company providing payment processing infrastructure.",
"business_model": "platform",
"industry": "fintech",
"industry_vertical": "payment infrastructure"
},
"meta": {
"date_windows": {"30d": "2026-09-06", "90d": "2026-07-08", "180d": "2026-04-09"}
}
}
响应字段
| 字段 | 类型 | 描述 |
|---|---|---|
| status | string | 'success' | 'error' |
| company | string | Company name, as sent in the request |
| domain | string | Company domain, as sent in the request |
| intent_score | integer | 0–100 buying intent score, computed from category strength and recency |
| intent_level | string | 'hot' (70+) | 'warm' (40–69) | 'cold' (10–39) | 'none' |
| confidence | string | 'high' | 'medium' | 'low' — based on the quality of the sources behind the signals |
| time_sensitivity | string | 'immediate' | '3_months' | '6_months' | 'low' — how soon to reach out |
| summary | string | 2–3 sentence summary of the company’s buying intent |
| recommended_pitch_angle | string | One sentence on how to approach the company |
| reasoning | string | The key signals driving the score |
| intent_categories | array | Detected signals grouped by category |
| intent_categories[].category | string | hiring_engineering, hiring_marketing, hiring_sales, hiring_ai, hiring_customer_support, hiring_general, expansion, funding, merger_acquisition, new_executive, partnership, customer_win, new_market_entry, rebranding, ipo_preparation, product_launch, technology_adoption, investment, security_incident, legal_regulatory, financial_performance, other |
| intent_categories[].strength | string | 'high' | 'medium' | 'low' — how directly the category implies a purchase |
| intent_categories[].recency | string | 'last_30d' | 'last_90d' | 'last_180d' | 'unknown' — the most recent signal in the category |
| intent_categories[].recommended_solutions | array | Product and service types this company is likely to buy |
| intent_categories[].signals | array | The individual signals; one per real-world event |
| signals[].text | string | Headline, job title or snippet, copied from the source |
| signals[].period | string | 'last_30d' | 'last_90d' | 'last_180d' | 'unknown' |
| signals[].date | string | Publish date (YYYY-MM-DD) when known; omitted otherwise |
| signals[].sentiment | string | 'positive' | 'negative' | 'neutral' |
| signals[].source_tier | string | 'tier_1' (major press or the company’s own site) | 'tier_2' (trade and tech press) | 'tier_3' (other) |
| signals[].urls | array | Source links for the event — one or more; several when multiple outlets reported it |
| predicted_moves | array | Up to 5 likely near-term purchasing moves |
| predicted_moves[].timeframe | string | '30_days' | '90_days' | '6_months' | '1_year' |
| predicted_moves[].prediction | string | The predicted move, naming the tool or vendor type |
| predicted_moves[].driven_by | array | The intent categories behind the prediction |
| signal_channels | object | Which source channels returned signals: news_network, company_website, hiring_signals (booleans) |
| growth_trajectory | string|null | 'accelerating' | 'stable' | 'decelerating' | 'restructuring' |
| company_profile | object|null | description, business_model, industry, industry_vertical |
| company_profile.business_model | string|null | 'B2B' | 'B2C' | 'B2B2C' | 'marketplace' | 'platform' | 'infrastructure' | 'agency' | 'other' |
| company_profile.industry | string|null | 'saas' | 'fintech' | 'healthtech' | 'ecommerce' | 'cybersecurity' | 'hr_tech' | 'martech' | 'legaltech' | 'edtech' | 'logistics' | 'manufacturing' | 'media' | 'consulting' | 'financial_services' | 'retail' | 'telecom' | 'real_estate' | 'energy' | 'ai' | 'other' |
| meta | object | date_windows: start dates (YYYY-MM-DD) of the 30d / 90d / 180d windows used for period |
| message | string | Error description; returned instead of the fields above when status is 'error' |
停止猜测要拨打哪些潜在客户。Minelead 显示出正在积极扩展、招聘、筹集资金或进行行动的公司——您的外联恰好在正确的时刻到达。
按意图级别对每个帐户进行评分——热、温、冷——并将销售代表引导到本季度最可能成交的交易中。
每个意图类别包括推荐解决方案——为您的冷邮件或LinkedIn消息准备好的讨论要点,无需额外研究。
简单的 REST GET 请求意味着您可以实时丰富 Salesforce、HubSpot 或任何 CRM 中的任何帐户记录,获取最新的购买信号。
信号按 30、90 和 180 天窗口进行分类,以便您区分立即紧急和长期战略动作。
招聘、融资、并购、产品发布、新高管招聘、技术采纳、市场扩展等——每个都有推荐的推介解决方案。
与 Python、Node.js、PHP、Ruby、Go 兼容——或直接通过 cURL。无需 SDK 或 Webhook。
B2B 潜在客户近在咫尺
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