Use Reddit Keyword Search with Advanced Filters with Python

Search Reddit by keyword and filter the matches by subreddit, score, date range, NSFW status, and author before they reach your dataset.

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.

{
  "keywords": [
    "python programming"
  ]
}

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

Field	Type	Required	Description
`keywords`	array	required	List of keywords to search. Each runs as a separate Reddit search.
`resultLimit`	integer	optional	Max posts per keyword (1-1000).
`sort`	string	optional	How to sort the search results.
`subredditFilter`	array	optional	Only emit posts from these subreddits (without `r/` prefix). Empty = all.
`subredditBlocklist`	array	optional	Drop posts from these subreddits.
`minScore`	integer	optional	Drop posts with score below this number.
`maxAgeDays`	integer	optional	Drop posts older than N days.
`excludeNsfw`	boolean	optional	Drop NSFW posts.
`authorBlocklist`	array	optional	Drop posts by these usernames (case-insensitive).
`keywordRequireAll`	boolean	optional	When multiple keywords given, also dedupe & only emit posts whose title/content contains ALL of them. Default: each keyword runs independently (OR).
`dateFrom`	string	optional	Drop posts with `created_at` before this date (inclusive). Format: YYYY-MM-DD.
`dateTo`	string	optional	Drop posts with `created_at` after this date (inclusive end-of-day). Format: YYYY-MM-DD.

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/SG9Ngr95n5Hkk64vN/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.

Reddit posts matching your keywords, with score, subreddit, author, and timestamps, after subreddit/score/date/NSFW/author filtering.

Questions before you run

Which inputs are required?

The published required fields are keywords

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 h7QrhQVhzxY2jSbRi and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.