Dataspryva

Use Snapchat Highlight & Story Media Downloader with Python

Pull individual snaps from a Snapchat profile's saved highlight albums and live story, with downloadable video/image links, post timestamps, and the creator's subscriber count and bio attached.

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.

{
  "downloadMedia": false,
  "maxItems": 3,
  "maxSnapsPerUser": 3,
  "mode": "profiles",
  "sources": [
    "curatedHighlights",
    "activeStory"
  ],
  "usernames": [
    "khaby.lame"
  ]
}

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

FieldTypeRequiredDescription
modestringoptionalWhat to scrape. profiles = look up usernames or profile URLs and collect their highlights and active story. urls = process pasted profile, highlight or active-story snap links, including highlights that are not on the rendered profile page.
usernamesarrayoptional(mode=profiles) One or more Snapchat usernames or profile URLs. Accepts bare username (brentrivera), @-prefixed (@brentrivera), add URL (https://www.snapchat.com/add/brentrivera) and profile URL (https://www.snapchat.com/@brentrivera).
startUrlsarrayoptional(mode=urls) Paste profile links, highlight links (https://www.snapchat.com/@user/highlight/<id>) or active-story snap links (https://www.snapchat.com/@user/<snapId>). Each link is resolved to exactly the content it names.
sourcesarrayoptionalWhich story surfaces to collect in profiles mode. curatedHighlights = saved highlight albums. activeStory = the currently public 24-hour story. Highlight-link mode always returns the linked highlight.
maxSnapsPerUserintegeroptionalMaximum snaps to save per profile, highlight or story-snap target. Supports large highlight albums up to the clip length shown by Snapchat.
maxHighlightsPerUserintegeroptionalHow many of a profile's saved highlight albums to read, in the order Snapchat renders them. 0 uses every highlight on the page.
maxItemsintegeroptionalHard cap on snap records saved in the run across all targets. The actor stops cleanly when it reaches this number.
postedAfterstringoptionalOnly keep snaps posted on or after this date (YYYY-MM-DD or full ISO 8601). Saved highlights can stay live for years, so set this to your last run date when you only want new snaps. Leave empty for everything.
downloadMediabooleanoptionalDownload each image/video into this run's Apify key-value store and return permanent public URLs. The original Snapchat CDN URL stays in a matching *Original field. Capped at 200 files and 50 MB per file per run; failures keep the direct URL. Costs extra storage and bandwidth; off by default because Snapchat CDN links work for immediate downloads.
proxyConfigurationobjectoptionalOptional Apify proxy override. Public Snapchat profiles work without a proxy.

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/o0TuUXYFScTreiGzG/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 row per Snapchat highlight or active-story snap, with direct media download URLs, snap timestamps and metadata, and the creator's public profile details.

Questions before you run

Which inputs are required?

No top-level fields are marked required in the published schema. Conditional requirements can still apply; check the README.

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 jnoJZ0OjjNipIstNX and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.