SignalNFX Investor Scraper
Pricing
Pay per usage
SignalNFX Investor Scraper
High-speed, zero-guessing Signal NFX Investor Scraper. Extracts Investors, Firms, Titles, Check Size Ranges, Sweet Spots, Fund Sizes, LinkedIn, Twitter, and Focus Sectors into styled Excel and CSV.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Redoy Al Hasan
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
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A high-speed, zero-guessing Apify Actor designed to extract comprehensive venture capitalist and angel investor profiles directly from Signal by NFX.
Overview
Signal by NFX is one of the most trusted databases in the startup ecosystem, featuring over 32,000+ active VCs, angel investors, and scouts.
SignalNFX Investor Scraper automates the collection of rich investor data directly from Signal's backend API. It extracts complete investment criteria, verified contact points, check size ranges, sweet spots, fund sizes, and direct social URLs into structured datasets and styled Excel spreadsheets.
Key Features
- Direct API Speed: Queries Signal's backend GraphQL API directly without running heavy headless browsers, delivering lightning-fast scraping at near-zero execution cost.
- Strict Zero-Guessing Guarantee: Extracts only explicit, verified values directly from the investor's profile. Missing attributes remain blank rather than fabricated.
- Clean Title and Firm Separation: Isolates the investor's clean job title (such as Founding Partner, Managing Partner, General Partner) without concatenating the firm name, which is provided in its own dedicated column.
- Compact Financial Formatting: Check size ranges and sweet spots are formatted in standard real estate and venture capital notation (such as
$100K - $5.0Mand$1M). - Geographic Granularity: Automatically separates locations into distinct City and State columns for easy filtering and CRM mapping.
- Dual Output Formats: Generates an Apify Dataset alongside downloadable, styled Excel (
OUTPUT.xlsx) and CSV (OUTPUT.csv) files in the default Key-Value Store.
How to Use (Beginner Quick Start)
Step 1: Choose Your Input URLs
The Actor accepts two types of URLs in the startUrls input field:
- Sector or Stage List URLs: Scrapes all investors ranked under a specific vertical or funding stage.
- Example:
https://signal.nfx.com/investor-lists/top-agtech-pre-seed-investors - Example:
https://signal.nfx.com/investor-lists/ai-seed - Example:
https://signal.nfx.com/investor-lists/fintech-series-a
- Example:
- Individual Investor URLs: Scrapes single investor profiles directly.
- Example:
https://signal.nfx.com/investors/seth-bannon - Example:
https://signal.nfx.com/investors/sarai-bronfeld
- Example:
Step 2: Set Your Maximum Limit
Use the maxInvestorsPerList parameter to specify how many investors you want to extract per sector list (e.g., 25, 50, 100, or more).
Step 3: Run the Actor
Click Save & Start. In just a few seconds, all investor records will be extracted and formatted.
Input Configuration Example
{"startUrls": [{"url": "https://signal.nfx.com/investor-lists/top-agtech-pre-seed-investors"},{"url": "https://signal.nfx.com/investors/seth-bannon"}],"maxInvestorsPerList": 50}
Extracted Data Structure (17 Columns)
Every output row contains exactly 17 standardized columns in the following serial order:
| Number | Column Name | Description | Example |
|---|---|---|---|
| 1 | Signal URL | Direct URL to the investor's Signal NFX profile | https://signal.nfx.com/investors/seth-bannon |
| 2 | Full Name | Investor full name | Seth Bannon |
| 3 | First Name | Investor first name | Seth |
| 4 | Last Name | Investor last name | Bannon |
| 5 | Position / Title | Clean role or title without firm name | Founding Partner |
| 6 | Firm Name | Venture capital or firm name | Fifty Years |
| 7 | Current Fund Size | Total fund size if disclosed | $450M |
| 8 | Investment Range | Minimum to maximum investment check size | $400K - $1.5M |
| 9 | Sweet Spot | Preferred target check size | $1M |
| 10 | Investments On Record | Total count of disclosed investments on record | 18 |
| 11 | City | Primary city location | San Francisco |
| 12 | State | State or country location | California |
| 13 | Investment Stages | Target stages (e.g., Pre-seed, Seed, Series A) | Pre-seed, Seed |
| 14 | Website Url | Personal or firm website URL | https://sethbannon.com/ |
| 15 | Person LinkedIn Url | Verified LinkedIn profile link | https://www.linkedin.com/in/sethbannon/ |
| 16 | X/Twitter | Verified Twitter / X profile link | http://www.twitter.com/sethbannon |
| 17 | Notable Info / Background | Summary of past executive and founder roles | Former Founder & CEO at Amicus, Inc. |
Download Formats & Integrations
- Apify Dataset: Exportable directly from the Apify Web Console to JSON, CSV, XML, or Excel.
- Styled Excel Spreadsheet (
OUTPUT.xlsx): Located in the run's default Key-Value Store with navy blue headers, borders, and auto-adjusted column widths. - Standardized CSV (
OUTPUT.csv): Located in the Key-Value Store encoded in UTF-8 with BOM for direct compatibility with Microsoft Excel and Google Sheets. - Workflow Integrations: Connect directly to Zapier, Make.com, Google Sheets, Airtable, or custom webhooks via standard Apify REST API endpoints.
Frequently Asked Questions
How fast is this scraper?
Because the Actor queries Signal's backend GraphQL API directly without rendering browser pages, it extracts approximately 5 to 10 full investor profiles per second.
Can I provide multiple sector URLs at once?
Yes. You can paste as many sector list URLs or single profile URLs as you need into the startUrls input array.
Does it support pagination?
Yes. When a sector list URL is provided, the Actor automatically paginates through the list up to the number specified in maxInvestorsPerList.
Is an Apify Proxy required?
No proxy configuration is required. The scraper runs smoothly with standard requests.