Signal.nfx Scraper | Fast & Reliable | $8 / 1k

Slug: fatihtahta/signal-nfx-scraper Price: $8.00 per 1,000 saved investors

Pinpoint the right investors and build clean, structured datasets from Signal • NFX curated investor lists. Drop in one or more list URLs (e.g., top fintech seed investors), set your max items, and get normalized investor profiles ready for dealflow, market mapping, and outreach.

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💡 Why use this scraper?

• Target the right people fast — Pull investors from curated vertical & stage lists (e.g., AI Seed, FinTech Seed, SaaS Pre-seed).
• Structured output — Clean fields for person, firm, locations, verticals, and list context for instant filtering and enrichment.
• Large-scale friendly — Works well for long lists; cap with a single limit input if you want a smaller sample.
• Export anywhere — Download JSON, CSV, Excel, or feed directly to your pipeline.

Perfect for: fundraising research, investor targeting, LP & scout mapping, and vertical market scans.

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🧠 What data do I get?

Each saved investor item includes:

• id — Investor profile ID
• person — { name, slug, first_name, last_name }
• image_urls — Array of image URLs (when available)
• position — Role (e.g., general_partner)
• min_investment, max_investment, target_investment — Numbers (USD, when available)
• firm — { id, name, slug }
• investment_locations[] — e.g., San Francisco Bay Area, London
• investor_lists[] — Array of lists the investor belongs to: { stage_name, slug, vertical }
• Context of origin — source_list_slug, source_list_stage, source_list_vertical
• crawl_ts — ISO timestamp
• profile_detail — Full investor profile enrichment pulled from the individual Signal profile page (see below)

profile_detail contents

Each profile_detail object includes:

• profile_id, headline, areas_of_interest_freeform, no_current_interest_freeform
• person — Adds social/contact URLs, roles, personal URL, and first_degree_count
• firm — Includes current_fund_size
• location — { id, display_name }
• min_investment, max_investment, target_investment, vote_count
• positions[] — Career history with company metadata and start/end months
• degrees[] — Education history with school details
• media_links[] — Articles/podcast links featured on the profile
• investor_lists[] — Lists curated on the investor profile page (stage, slug, vertical, location)
• investments_on_record — { record_count, has_more, edges[] } (recent companies + rounds + coinvestors)
• network_list_investor_profiles and network_list_scouts_and_angels_profiles
• investing_connections — Direct investing relationships surfaced by Signal

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📥 Input configuration

Open the Input tab and provide:

• startUrls (array of strings) — One or more Signal.nfx list URLs. Example: https://signal.nfx.com/investor-lists/top-fintech-seed-investors https://signal.nfx.com/investor-lists/top-marketplaces-seed-investors
• limit (integer, default 50000) — Maximum investors to save across all lists.
• proxyConfiguration (object) — Use Apify Proxy (recommended) to enable robust rotation.
• listConcurrency (integer, default 8) — Number of investor lists processed in parallel.
• detailConcurrency (integer, default 10) — Number of investor profile details fetched in parallel per list page.
• proxyPoolSize (integer, default 40, max 40) — Size of pre-warmed proxy pool used for rotation and cooldown-aware retries.

Example Input

{
  "startUrls": [
    "https://signal.nfx.com/investor-lists/top-fintech-seed-investors"
  ],
  "limit": 120,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

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📦 Output example (single investor)

{
  "record_type": "investor",
  "id": "8118",
  "person": {
    "name": "Pete Flint",
    "slug": "pete-flint",
    "first_name": "Pete",
    "last_name": "Flint"
  },
  "image_urls": [
    "https://signal-api.nfx.com/rails/active_storage/representations/redirect/.../0"
  ],
  "position": "general_partner",
  "min_investment": 500000,
  "max_investment": 5000000,
  "target_investment": 2500000,
  "firm": {
    "id": "212",
    "name": "NFX",
    "slug": "nfx"
  },
  "investment_locations": [
    "New York, New York",
    "San Francisco Bay Area",
    "London"
  ],
  "investor_lists": [
    { "stage_name": "Seed", "slug": "fintech-seed", "vertical": "FinTech" },
    { "stage_name": "Seed", "slug": "ai-seed", "vertical": "AI" }
  ],
  "source_list_slug": "fintech-seed",
  "source_list_stage": "Seed",
  "source_list_vertical": "FinTech",
  "crawl_ts": "2025-10-13T08:57:44.407Z",
  "profile_detail": {
    "profile_id": "8118",
    "headline": "General Partner at NFX",
    "areas_of_interest_freeform": "Marketplaces, PropTech",
    "no_current_interest_freeform": "AdTech",
    "person": {
      "name": "Pete Flint",
      "slug": "pete-flint",
      "linkedin_url": "https://www.linkedin.com/in/peteflint/",
      "twitter_url": "https://twitter.com/peteflint",
      "roles": ["VC", "Founder"],
      "first_degree_count": 2146
    },
    "firm": {
      "id": "212",
      "name": "NFX",
      "slug": "nfx",
      "current_fund_size": "$450M"
    },
    "location": { "id": "22992", "display_name": "San Francisco Bay Area" },
    "positions": [
      {
        "title": "General Partner",
        "company": { "id": "212", "name": "NFX", "display_name": "NFX" },
        "start_date": { "month": 9, "year": 2015 }
      }
    ],
    "degrees": [
      {
        "name": "MBA",
        "field_of_study": "Business",
        "school": { "display_name": "Stanford Graduate School of Business" }
      }
    ],
    "media_links": [
      {
        "title": "The future of marketplaces",
        "url": "https://signal.nfx.com/articles/future-of-marketplaces"
      }
    ],
    "investments_on_record": {
      "record_count": 42,
      "has_more": true,
      "edges": [
        {
          "company_display_name": "Trulia",
          "coinvestor_names": ["James Currier"],
          "funding_rounds": [
            {
              "funding_round": {
                "stage": "Seed",
                "amount": "$1.5M"
              }
            }
          ]
        }
      ]
    },
    "network_list_investor_profiles": {
      "list_type": "COINVESTORS",
      "edges": [
        {
          "person": { "name": "James Currier" },
          "firm": { "name": "NFX" }
        }
      ]
    },
    "investing_connections": {
      "record_count": 167,
      "edges": [
        { "target_person": { "name": "James Currier" } }
      ]
    }
  }
}

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🧪 How to use

1. Open the actor: Signal.nfx Scraper | Fast & Reliable | $8 / 1k fatihtahta/signal-nfx-scraper
2. Paste one or more Signal.nfx list URLs into startUrls.
3. Set limit (optional).
4. Run the actor.
5. Download results from the Dataset as JSON/CSV/Excel.

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💸 Pricing

• $8.00 per 1,000 saved investors.
• You only pay for items saved to the dataset.

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⚖️ Legal & Responsible Use

This actor consolidates publicly available information. Depending on your jurisdiction and use case, data may be considered personal data. Ensure you have a lawful basis (e.g., legitimate interest), follow applicable regulations (GDPR/CCPA), and respect platform terms and any applicable policies in your outreach and processing.

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❓ Support

Questions, feature requests, or custom data needs? Open an issue in the Issues tab on the actor page. I typically respond around the clock.

Happy mapping, Fatih