Developer Methods

Developer Methods#

Get all apps from a specific developer or company.

Overview#

The Developer methods allow you to find all apps published by a developer, returning 11 fields per app.

Available Methods#

  • developer_analyze() - Get all developer apps

  • developer_get_field() - Get single field from all apps

  • developer_get_fields() - Get multiple fields from all apps

  • developer_print_field() - Print single field

  • developer_print_fields() - Print multiple fields

  • developer_print_all() - Print all apps as JSON

developer_analyze()#

Get all apps from a developer.

Signature:

developer_analyze(dev_id, count=100, lang='en', country='')

Parameters:

  • dev_id (str, required) - Developer name or numeric ID

  • count (int, optional) - Number of apps (default: 100)

  • lang (str, optional) - Language code

  • country (str, optional) - Country code

Returns:

List of dictionaries, each with 11 fields

Example:

from gplay_scraper import GPlayScraper

scraper = GPlayScraper()

# Using developer name
apps = scraper.developer_analyze('Google LLC')

for app in apps:
    print(f"{app['title']}")
    print(f"  Developer: {app['developer']}")
    print(f"  Rating: {app['score']}/5")
    print(f"  Free: {app['free']}")

Using Numeric Developer ID:

# Using numeric ID
apps = scraper.developer_analyze('5700313618786177705')

Available Fields#

Each app contains 11 fields:

  • appId - Package identifier

  • title - App name

  • url - Play Store URL

  • icon - App icon URL

  • developer - Developer name

  • description - App description

  • score - Average rating (0-5)

  • scoreText - Rating as text

  • price - App price

  • free - Is free (boolean)

  • currency - Currency code

Common Use Cases#

Portfolio Analysis#

scraper = GPlayScraper()
apps = scraper.developer_analyze('Google LLC')

# Calculate average rating
avg_rating = sum(app['score'] for app in apps) / len(apps)

# Count free vs paid
free_count = sum(1 for app in apps if app['free'])
paid_count = len(apps) - free_count

print(f"Total apps: {len(apps)}")
print(f"Average rating: {avg_rating:.2f}/5")
print(f"Free apps: {free_count}, Paid apps: {paid_count}")

Competitive Analysis#

developers = ['Google LLC', 'Microsoft Corporation', 'Meta Platforms, Inc.']

for dev in developers:
    apps = scraper.developer_analyze(dev)
    high_rated = [app for app in apps if app['score'] >= 4.5]

    print(f"\n{dev}:")
    print(f"  Total apps: {len(apps)}")
    print(f"  High-rated apps (4.5+): {len(high_rated)}")

See Also#

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