Signal.nfx Scraper | Fast & Reliable | $7 / 1k
Pricing
Pay per event
Signal.nfx Scraper | Fast & Reliable | $7 / 1k
Scrape Signal • NFX investor lists into clean investor profiles. Paste list URLs, set a limit, and export JSON/CSV/Excel. Structured fields: person, firm, locations, verticals, list context. Ideal for fundraising research, investor targeting & market mapping. $7 per 1000 results.
Pricing
Pay per event
Rating
3.5
(4)
Developer

Fatih Tahta
Actor stats
2
Bookmarked
9
Total users
6
Monthly active users
0.11 hours
Issues response
6 days ago
Last modified
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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.
💡 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
limitinput 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.
🧠 What data do I get?
Each saved investor item includes:
id— Investor profile IDperson—{ 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,Londoninvestor_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 timestampprofile_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_freeformperson— Adds social/contact URLs, roles, personal URL, andfirst_degree_countfirm— Includescurrent_fund_sizelocation—{ id, display_name }min_investment,max_investment,target_investment,vote_countpositions[]— Career history with company metadata and start/end monthsdegrees[]— Education history with school detailsmedia_links[]— Articles/podcast links featured on the profileinvestor_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_profilesandnetwork_list_scouts_and_angels_profilesinvesting_connections— Direct investing relationships surfaced by Signal
📥 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-investorshttps://signal.nfx.com/investor-lists/top-marketplaces-seed-investorslimit(integer, default50000) — Maximum investors to save across all lists.proxyConfiguration(object) — Defaults are optimized; you can keep as-is.
Example Input
{"startUrls": ["https://signal.nfx.com/investor-lists/top-fintech-seed-investors"],"limit": 120,"proxyConfiguration": {"useApifyProxy": true}}
📦 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" } }]}}}
🧪 How to use
- Open the actor: Signal.nfx Scraper | Fast & Reliable | $8 / 1k fatihtahta/signal-nfx-scraper
- Paste one or more Signal.nfx list URLs into
startUrls. - Set
limit(optional). - Run the actor.
- Download results from the Dataset as JSON/CSV/Excel.
💸 Pricing
- $8.00 per 1,000 saved investors.
- You only pay for items saved to the dataset.
⚖️ 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.
❓ 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