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apify-client

Apify API client for Python

Worth itPyPI LibrariesReleased Aug 20262.7M downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — apify_client-3.1.2-py3-none-any.whl
v3.1.2 · released 2026-08-10 · Python >=3.11 · 4 runtime deps: colorama, impit, more-itertools, pydantic

Yes. The package is actively maintained, has no known vulnerabilities, requires only common dependencies, and is the official client for a widely-used platform. Install it if you need to orchestrate Apify Actors or manage Apify storage from Python; skip it if you only build Actors (use the Apify SDK instead) or don't use the Apify platform.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.11 or higher.
  • You must obtain an Apify API token from the Apify Console Integrations section.
  • Low friction install with a pure-Python wheel.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and private projects with minimal restrictions.

last release 2026-08-10 (4 days) · last repo commit 2026-08-12 · 97 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 2,726,378 downloads/mo, #2,918 on PyPI

Verify before relying

pip install apify-client

from apify_client import ApifyClient

client = ApifyClient('YOUR-APIFY-TOKEN')
run = client.actor('apify/hello-world').call(run_input={'message': 'Hello'})
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)
  • Whether the optional brotli extra dependency improves performance enough to justify installation for typical workloads.
  • Performance characteristics when streaming large datasets or handling high-volume pagination.
  • Specific retry and timeout defaults and how they compare to typical API client conventions.
Same gist for agents: .md · .json

What it is and what it does

apify-client is the official Python wrapper for the Apify platform's REST API. It provides both synchronous and asynchronous clients to orchestrate web scraping Actors, manage cloud storage (datasets, key-value stores, request queues), schedule recurring tasks, and configure webhooks—all from Python code. The library ships with Pydantic-validated typed responses, automatic exponential backoff retries, tiered timeout strategies, pagination and streaming helpers, and a pluggable HTTP layer (defaulting to impit but supporting httpx, requests, aiohttp, or custom implementations).

It's designed for developers who want to consume the Apify platform programmatically rather than build Actors themselves (for that, use the Apify SDK for Python instead). The client handles authentication via API token, compresses requests with gzip by default, offers structured error handling with ApifyApiError subclasses, and includes opt-in debug logging. Runtime dependencies are minimal: colorama, impit, more-itertools, and pydantic.

Use it for

  • Trigger and monitor web scraping Actors from a Python application, then retrieve and process the results.
  • Build a data pipeline that orchestrates multiple Apify Actors in sequence, passing data between them via datasets.
  • Manage and query key-value stores and request queues programmatically to coordinate distributed scraping jobs.
  • Stream live logs from running Actor jobs in real time to monitor progress or debug failures.
  • Schedule recurring Apify tasks and manage webhooks to integrate Apify scraping into a larger automation workflow.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, has no known vulnerabilities, requires only common dependencies, and is the official client for a widely-used platform. Install it if you need to orchestrate Apify Actors or manage Apify storage from Python; skip it if you only build Actors (use the Apify SDK instead) or don't use the Apify platform.

Install

apify-client on PyPI

Before you install

Low friction install with a pure-Python wheel. Actively maintained with a release 4 days old and recent commits. Requires Python 3.11 or higher.

Requires Python 3.11 or higher. You must obtain an Apify API token from the Apify Console Integrations section.

License in practice

Licensed under Apache-2.0 (permissive), allowing use in commercial and private projects with minimal restrictions.

Quickstart

pip install apify-client

from apify_client import ApifyClient

client = ApifyClient('YOUR-APIFY-TOKEN')
run = client.actor('apify/hello-world').call(run_input={'message': 'Hello'})
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

Verify before relying

  • Whether the optional brotli extra dependency improves performance enough to justify installation for typical workloads.
  • Performance characteristics when streaming large datasets or handling high-volume pagination.
  • Specific retry and timeout defaults and how they compare to typical API client conventions.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.11
Install frictionLow. Pure-Python wheel
Runtime dependencies
4 packages
coloramaimpitmore-itertoolspydantic
MaintenanceActively maintained 4 days since the last release
Last repo commit
First released
Downloads2,726,378 / month, #2,918 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersOperating System :: OS IndependentProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software Development :: Libraries

Evidence: apify_client-3.1.2-py3-none-any.whl

Tags

Capabilities
apify api client pythonrun apify actors programmaticallymanage apify datasets and storageapify automation platform clientweb scraping actor orchestrationapify rest api wrapperschedule apify tasks python
Topics
web-scrapingapi-clientautomation
PyPI keywords
apifyapiclientautomationcrawlingscraping

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See also apify · apify-shared · dapr · pipedream · python-intercom · apimatic-core · Spark · arcadepy · letta-client · cloudflare