Use TikTok Anonymous For You Feed Snapshot Scraper with Python

Capture a snapshot of posts currently surfacing on TikTok's anonymous For You feed, with engagement stats, author, music, and hashtag details for each video or slideshow.

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.

{
  "excludeAds": false,
  "maxItems": 3,
  "minPlayCount": 0,
  "postedWithinDays": 0,
  "region": "AUTO"
}

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

Field	Type	Required	Description
`maxItems`	integer	optional	Maximum number of For You posts to collect. Set to 0 to return no items.
`region`	string	optional	Market hint for the feed. AUTO follows the connection region. A selected market asks TikTok for that market and uses a matching datacenter exit when one is available; TikTok may still override the hint.
`minPlayCount`	integer	optional	Drop posts with fewer plays than this value. 0 disables the filter.
`postedWithinDays`	integer	optional	Only keep posts created in the last N days. 0 disables the filter.
`excludeAds`	boolean	optional	Drop posts that TikTok marks as advertisements.

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/P50cIhupfxfmYN9hW/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.

Posts captured from the anonymous TikTok For You feed, with rank, engagement metrics, author, music, video, subtitles, POI, and category 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.

Open on Apify Full Actor reference

Generated from source build IewtZ1qwYr8qhwUl2 and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.