Threads Search Scraper

An Apify Actor template for building a custom web scraper to collect data from Threads search results. This Python-based template provides the foundational structure and tools needed to develop a focused social media scraper, using the Apify SDK for reliable data extraction and job management.

Overview

This Actor is a starting point for creating a scraper that targets Threads search functionality. It's built on Apify's Python SDK, handling the core infrastructure like request queuing, data storage, and input validation, so you can concentrate on implementing the specific parsing logic for Threads. You modify the main script to navigate, extract, and structure the data you need from search result pages.

Key Features

• Apify SDK for Python: The core toolkit for building and running scalable scrapers on the Apify platform.
• Input Schema: A predefined schema (INPUT_SCHEMA.json) to validate runtime configuration (e.g., search queries, result limits, proxy settings).
• Request Queue: Manages the list of URLs to scrape, supporting efficient and resilient crawling.
• Dataset Storage: Automatically stores scraped results in a structured dataset on the Apify platform for easy export.

How to Use

1. Set Up: Clone the template and install dependencies.
   bash apify create my-threads-scraper --template python-empty cd my-threads-scraper
2. Develop: Add your scraping logic inside the async with Actor: block in src/main.py. Use libraries like requests or playwright alongside the Apify SDK to fetch and parse Threads pages.
3. Run Locally: Test your Actor.
   bash apify run
4. Deploy: Push your Actor to the Apify cloud.
   bash apify login apify push

You can also connect an existing Git repository directly from the Actor creation page.

Input/Output

Input (Configure via UI or API):
The Actor uses an input schema. Typical parameters you would define include:
* search_query: The keyword or phrase to search for on Threads.
* max_results: The maximum number of posts or profiles to scrape.
* proxy_configuration: Settings for using proxy servers.

Output:
Scraped data is stored in the Actor's default dataset. The structure of each item depends on your implementation but could include fields like:
* post_id
* text
* timestamp
* username
* likes_count
* url

Data can be exported in formats like JSON, CSV, or Excel directly from the Apify console or via API.

Resources

• Apify SDK for Python documentation
• Platform documentation
• Python tutorials in Academy
• Join our developer community on Discord