Nimbryxo Studio

Use Snapchat Snapcode Image Downloader with Python

Fetch the official add-friend Snapcode for any Snapchat username as SVG or PNG, with or without the user's Bitmoji, and optionally save it to persistent storage.

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.

{
  "downloadToStorage": false,
  "format": "SVG",
  "imageSize": 320,
  "maxItems": 1,
  "mode": "snapcode",
  "usernames": [
    "brentrivera"
  ]
}

Download input.example.json and save your reviewed copy as input.json.

FieldTypeRequiredDescription
modestringrequiredSnapcode image only, public profile metadata only, or both.
usernamesarrayrequiredSnapchat usernames, @handles, or profile links. Examples: brentrivera, @brentrivera, https://www.snapchat.com/add/brentrivera, https://www.snapchat.com/@brentrivera.
formatstringoptionalSnapcode image format (used in mode=snapcode and mode=full).
imageSizeintegeroptionalSquare image size in pixels (used in mode=snapcode and mode=full), from 32 to 1000. Values above 1000 are capped by Snapchat.
downloadToStoragebooleanoptionalSave each fetched Snapcode image to Apify key-value store and add a persistent URL to the record. Only applies to modes that fetch images.
maxItemsintegeroptionalMaximum number of records to save from this run.

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/O27BjFfBqlgzXtLI0/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.

One record per username with Snapcode image details and, when requested, public Snapchat profile metadata.

Questions before you run

Which inputs are required?

The published required fields are mode, usernames

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 JKZOyJfWp2QeGevUH and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.