Use Decrypt Crypto News Finder by Category & Keyword with Python

Search Decrypt's crypto, Web3, and AI news by keyword or category, or look up specific articles, for full article text, authors, tags, mentioned coins, and featured images.

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.

{
  "articleIds": [
    "375656"
  ],
  "authorSlugs": [],
  "categories": [],
  "category": "news",
  "coinSlugs": [],
  "includeContent": true,
  "locale": "en",
  "maxItems": 1,
  "mode": "search",
  "onlyNew": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "searchQuery": "bitcoin",
  "sortBy": "newest",
  "tagSlugs": []
}

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

Field	Type	Required	Description
`mode`	string	required	What to fetch. Search matches titles, excerpts and article bodies. The latest mode returns the newest stories.
`searchQuery`	string	optional	Keyword or phrase matched against article titles, excerpts and bodies (mode=search). E.g. bitcoin, ethereum, NFT.
`category`	string	optional	One Decrypt category slug (mode=browseByCategory and as a filter in other modes). Leave empty for any category.
`categories`	array	optional	Filter by several category slugs at once. Applies to search, latest, tag, coin and author modes.
`tagSlugs`	array	optional	Filter by Decrypt tag slugs, e.g. bitcoin, ethereum, regulation. Tag names are not accepted; use the slugs returned in each record.
`coinSlugs`	array	optional	Filter by coin slugs, e.g. bitcoin, ethereum, solana. Names and ticker symbols are also accepted and mapped to slugs. The source can match articles with no explicit coin relation; those rows omit coins and coinSlugs.
`authorSlugs`	array	optional	Filter by author slugs, e.g. jose, stephengraves. Author names are not accepted; use the slugs returned in each record.
`articleIds`	array	optional	Article IDs or decrypt.co URLs (mode=byId). Accepts bare IDs, /id/slug, localized /es/id/slug, ?p=id and /resources/slug URLs.
`locale`	string	optional	Article language. Leave empty to include every locale.
`dateRangeFrom`	string	optional	Only articles published on or after this date (YYYY-MM-DD). The date range is applied by the source.
`dateRangeTo`	string	optional	Only articles published on or before this date (YYYY-MM-DD). The date range is applied by the source.
`sortBy`	string	optional	Newest first, oldest first, or best match. Best match needs a search query; otherwise newest is used.
`includeContent`	boolean	optional	Include full HTML and plain-text article bodies, TL;DR content and word count. Turn off for a lighter dataset.
`onlyNew`	boolean	optional	Skip article IDs returned by earlier runs of this actor. Useful for scheduled monitoring. State is kept automatically.
`maxItems`	integer	optional	Maximum number of articles to return (1-10,000).
`proxyConfiguration`	object	optional	Optional. Leave off for a direct connection; the actor does not require 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/khuWc0CVpBIzolNFr/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.

Decrypt articles with full HTML and plain text, TL;DR, editors, author profiles, categories, tags, coins, collections, images, canonical URLs and reading metrics.

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.

Open on Apify Full Actor reference

Generated from source build QymXnxwvFb54S2uVZ and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.