🧬 Name Demographics Scraper (Age, Gender, Nationality)

🚀 Enrich any list of first names with age, gender, and likely nationality in seconds. Predicts estimated age, gender with probability, and the top 3 country origins for each name. No API key, no signup, no manual lookups.

The Name Demographics Scraper combines three public demographic models into one structured enrichment pipeline. For each first name you submit, the Actor returns 10 fields: estimated age (with sample-size count), predicted gender with probability (with sample-size count), and an array of the top 3 most likely country origins with their probabilities.

The underlying models are trained on billions of social-network profile records and surface signals that are otherwise expensive to derive. The Actor is ideal for CRM enrichment, audience analysis, survey weighting, and recruiter analytics when you only have a first name and need a reasonable demographic guess.

🎯 Target Audience	💡 Primary Use Cases
HR & people-analytics teams, marketing & growth analysts, lead-enrichment vendors, sociology and demography researchers	CRM enrichment, audience segmentation, survey weighting, recruiter diversity analytics, name-origin research, audience targeting

📋 What the Name Demographics Scraper does

Three enrichment workflows in a single run:

• 🎂 Age estimation. Median predicted age for the given first name plus the underlying sample-size count.
• ⚧️ Gender prediction. Predicted gender (male/female/null) plus the probability and the sample-size count.
• 🌍 Nationality inference. Top 3 country codes with probability scores, plus convenience fields for the single most-likely country.
• 🧮 Selective modes. Run only the enrichments you need (age, gender, nationality, or any combination).
• 📊 Confidence signals. Probabilities and sample sizes are returned alongside every prediction so you can filter low-confidence rows.

Each record includes the original name, all three enrichment outputs, and confidence signals you can use to threshold the results downstream.

💡 Why it matters: marketers, recruiters, and researchers regularly receive lead lists, survey responses, or roster data with first names only. This Actor turns those raw names into structured demographic signals you can use for segmentation, weighting, or campaign targeting without writing your own pipeline.

📊 Data fields

Each record includes: age, ageCount, countries, gender, genderCount, genderProbability, name, scrapedAt, topCountry, topCountryProbability. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Name Demographics Scraper page on the Apify Store.
3. 🎯 Set input. Paste a list of first names, pick which modes to run, and set maxItems.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

🔗 Recommended Actors

• 🏢 ABR Australian Business Register Scraper - 7M+ Australian business records
• 🦘 Australia Open Data Scraper - data.gov.au catalog walker
• 🍁 Canada Open Data Scraper - Canadian federal open dataset catalog
• 🗺️ Nominatim OSM Scraper - Geocode addresses via OpenStreetMap
• 📈 Indexmundi Scraper - Global demographic and economic indicators

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by any of the underlying demographic data providers. All trademarks mentioned are the property of their respective owners. Only publicly available aggregated demographic statistics are collected. The Actor does not identify individuals.

🆘 Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.