Genderize Name Gender Scraper
Pricing
from $4.52 / 1,000 results
Genderize Name Gender Scraper
Predict the likely gender behind a first name using Genderize. Each name returns the gender guess, the probability, the sample count behind it, and an optional country code. Useful for enriching contact records, balancing audience research, and studying naming patterns across regions.
Pricing
from $4.52 / 1,000 results
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ParseForge
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20 hours ago
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⚧ Genderize Names Scraper
Predict the likely gender of any first name, with a confidence probability and the number of samples behind it, using the public Genderize.io API. No key, no login.
Feed a list of first names and get a clean, ready-to-use dataset: each name mapped to a predicted gender (male / female), a probability from 0 to 1, and the sample count that backs the prediction. Optionally scope predictions to a country.
⚙️ Input
| Field | Type | Description |
|---|---|---|
names | array | List of first names to look up (e.g. Peter, Maria, Kim). |
countryId | string | Optional ISO 3166-1 alpha-2 code (e.g. US, DE) to localize the result. |
maxItems | integer | How many records to return. Free plan is capped at 10. |
Example
📊 Output
| Field | Description |
|---|---|
name | The looked-up first name |
gender | Predicted gender: male, female, or null when unknown |
probability | Confidence from 0 to 1 |
count | Number of data samples supporting the prediction |
countryId | Country code used, or null |
scrapedAt | When the record was collected |
error | Null on success |
Notes
The public Genderize.io tier is rate-limited for anonymous use. Individual name failures are recorded per row in the error field instead of stopping the run.
Disclaimer: Independent tool, not affiliated with Genderize.io. Only publicly available data is collected.
