Use Google Workspace Marketplace App Search & Category Browser with Python
Search Google Workspace Marketplace apps by keyword, browse a category, or fetch specific app IDs. Returns developer, rating, review count, pricing model, categories, compatible Google products and icon.
1. Choose the data you need
Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.
2. Prepare a source-based input
This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.
{
"appIds": [],
"category": "popular-apps",
"language": "en",
"maxItems": 50,
"mode": "search",
"searchQuery": "mail merge"
}
Download input.example.json and save your reviewed copy as input.json.
| Field | Type | Required | Description |
|---|---|---|---|
mode | string | required | What to scrape. search=keyword search, byCategory=browse a category, byAppId=fetch specific apps. |
searchQuery | string | optional | Keyword to search for apps. Required for mode=search. |
category | string | optional | Category path to browse. Required for mode=byCategory. |
appIds | array | optional | Numeric App IDs to fetch (e.g. 218858140275). Required for mode=byAppId. |
maxItems | integer | optional | Maximum number of records to emit. |
language | string | optional | Optional language for search/category pages. |
3. Start an Actor run
Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.
Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.
import json
import os
import urllib.request
# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
actor_input = json.load(stream)
token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
"https://api.apify.com/v2/acts/d8EIDG8VY8GDIfdge/runs?timeout=120&maxTotalChargeUsd=0.50",
data=json.dumps(actor_input).encode("utf-8"),
headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.
4. Inspect the actual results
Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.
Apps scraped from Google Workspace Marketplace — name, developer, rating, reviews, pricing, categories, Works With products, icon URL, and more.
Questions before you run
Which inputs are required?
The published required fields are mode
What does this guide verify?
The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.
What if the run request times out?
Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.
Generated from source build 7C56s4ZpdozZWASi4 and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.