> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nrev.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get Company News

> Pull recent press mentions for your accounts — great for warm outbound, personalization, or competitive intel.

## What It Does

* **Surfaces recent news mentions** for each company in your table
* **Uses the domain** to find articles tied to that organization
* **Returns article-level insights** like headline, link, and detection timestamp
* **Outputs one row per article** — so companies with more coverage show up more
* **Automatically handles column name clashes** like `title` or `timestamp`

<Note>All headlines come from **Predictleads**, our trusted news enrichment vendor — for now. We’re exploring more sources soon.</Note>

***

## 🏁 Getting Started

<Frame>
  <img src="https://mintlify.s3.us-west-1.amazonaws.com/nurturev/images/Get%20Company%20News%20node%20config.png" alt="Get Company News node config" style={{ borderRadius: '0.5rem', width: '100%', margin: '1.5rem 0' }} />
</Frame>

<Steps>
  <Step title="Add the Node">
    Drop **Get Company News** into your flow — it's especially useful post-enrichment or after scoring.
  </Step>

  <Step title="Map the Domain">
    Use a static domain (`nrev.ai`) or reference a mapped column like `@domain` from earlier in your pipeline.
  </Step>

  <Step title="Set Timeframe + Limit">
    Choose how far back to look (`last_3_months`, `last_year`, etc.) and how many headlines to fetch per company (max 1000).
  </Step>

  <Step title="Run It">
    Each article becomes a new row — companies with more coverage get more visibility.
  </Step>
</Steps>

***

## Inputs

### 🛠️ Required Fields

* **Domain (✅)**\
  This is how we look up company-specific headlines.\
  *Example:* `nrev.ai` or `@domain` (dynamic reference)

* **Timeframe (✅)**\
  Controls how recent the articles are.\
  *Options:* `last_month`, `last_3_months`, `last_6_months`, `last_year`

* **Limit (✅)**\
  Sets the max number of headlines returned **per company**.\
  *Default is 100. Max: 1000 per domain.*\
  Each article = one row.

***

## Output

You’ll get a row per article with the following fields:

* `title` – The article headline
* `news_url` – Direct link to the source
* `timestamp` – When we detected it

| Field       | Description                   |
| ----------- | ----------------------------- |
| `title`     | Article headline              |
| `news_url`  | Link to original article      |
| `timestamp` | When the article was detected |

<Note>If your input already has a column like `title`, we’ll rename the new one to avoid conflict (e.g., `title_1`).</Note>

***

## How It Works

1. We read the domain (static or via `@`)
2. Query Predictleads for recent articles about that company
3. Add each article as a separate row
4. Auto-resolve naming conflicts so downstream steps aren’t blocked

***

## 🚀 Use Cases & Prompts

| Use Case               | Setup Example                                                      |
| ---------------------- | ------------------------------------------------------------------ |
| Warm Outbound          | Use `@domain`, fetch headlines, and mention recent press in email  |
| Account Research       | See who’s raising, hiring, or getting featured                     |
| Prioritization Signals | More headlines = more market motion — maybe it’s time to reach out |
| Competitive Monitoring | Fetch news for rival accounts weekly                               |

***

## ✨ Pro Tips

<Tip>Use this with AI Scorer or Enrich Company — news can fuel prioritization, personalization, or signal-based routing.</Tip>
<Tip>After pulling news, export to CRM, route to reps, or plug into an AI writer for personalized outreach.</Tip>
<Tip>Your column names are safe — fields like `title` or `timestamp` get auto-suffixed when needed.</Tip>

***

## ⚠️ Important Considerations

<Warning>No domain = no news — if a row has a blank or broken domain, we skip it silently.</Warning>
<Warning>Multiple articles = multiple rows — plan downstream filters or grouping accordingly.</Warning>
<Warning>Limit sets a max per company — if you need fewer articles, adjust the dropdown.</Warning>

***

## 🛠 Troubleshooting & Gotchas

| Symptom                  | Likely Cause                 | Quick Fix                                       |
| ------------------------ | ---------------------------- | ----------------------------------------------- |
| Blank output             | No news for that domain      | Try expanding the timeframe or check the domain |
| `title_1`, `timestamp_1` | Column name collision        | Use Rename Columns downstream if needed         |
| Too many rows            | Company has lots of coverage | Adjust the limit field or filter later          |

***

## 📝 FAQ

<AccordionGroup>
  <Accordion title="What vendors are used?">
    Right now, all news is powered by **Predictleads**. We’re exploring more sources to expand coverage.
  </Accordion>

  <Accordion title="Do I get charged if no news is found?">
    Nope — you’re only charged for domains where news was actually fetched.
  </Accordion>

  <Accordion title="Can I fetch news for multiple companies at once?">
    Yes — each row in your input table can reference a different domain.
  </Accordion>

  <Accordion title="How recent is the news?">
    You choose the recency. We offer filters for last 1, 3, 6, or 12 months.
  </Accordion>
</AccordionGroup>

***

## 💰 Pricing

| Mode             | Credit Cost |
| ---------------- | ----------- |
| Per page fetched | 2 credits   |

<Note>You’re only charged for domains where headlines are actually returned — no results = no cost.</Note>

***

<p style={{ fontSize: '1rem', fontWeight: 'bold', marginTop: '1.5rem' }}>
  Enrich your accounts with timely context — use recent headlines to drive better targeting, scoring, or outreach. 📰📊
</p>