You can access the Reddit Historical Archive Scraper - Old Posts by Date programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "subreddits": [
12        "technology"
13    ],
14    "maxItems": 100,
15    "maxItemsPerTarget": 100
16};
17
18// Run the Actor and wait for it to finish
19const run = await client.actor("logiover/reddit-historical-archive-scraper").call(input);
20
21// Fetch and print Actor results from the run's dataset (if any)
22console.log('Results from dataset');
23console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
24const { items } = await client.dataset(run.defaultDatasetId).listItems();
25items.forEach((item) => {
26    console.dir(item);
27});
28
29// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Reddit Archive Scraper — Old Posts, Pushshift Alt API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Reddit Historical Archive Scraper - Old Posts by Date API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Reddit Historical Archive Scraper - Old Posts by Date API in Python

Reddit Historical Archive Scraper - Old Posts by Date API through CLI

Reddit Historical Archive Scraper - Old Posts by Date OpenAPI definition

Reddit Historical Archive Scraper - Old Posts by Date API

LinkedIn Post Search Scraper 2$/1K

lofomachines/linkedin-post-search-scraper

Find and extract public LinkedIn posts by keyword or get single post data by url, country and date range. Clean, structured, ready-to-use data. Fast and Cheaper.

Lofomachines

[NO COOKIES] LinkedIn Search Posts Scraper

scary_good_apis/linkedin-search-posts

Easily and quickly search LinkedIn for posts matching your exact keywords and filters without needing to risk your own LinkedIn account or using your cookies.

Scary Good APIs

335

1.0

LinkedIn Post Scraper By Keyword

scrapio/linkedin-post-scraper

Scrapes posts from any public LinkedIn profile or company page, capturing text, images, videos, authors, timestamps, reactions, comments, hashtags, and post URLs. Ideal for content research, competitor tracking, engagement analysis, and large-scale LinkedIn data extraction

Scrapio

LinkedIn Post Scraper - Text, Reactions, Comments

gio21/linkedin-post-scraper

Scrape public LinkedIn posts by URL or profile: full text, reactions, comment count, top comments, author and follower count. No login or cookie required.

Gio

🔍 LinkedIn Posts Scraper - Keyword & Hashtag [NO COOKIES] ✅

unseenuser/LinkedIn-Post-Seach-Scraper

Search LinkedIn's public post graph by keyword, hashtag, or author. Extract content, engagement metrics, reaction breakdowns, author profile data, and timestamps. No login, no cookies. Built for social listening, B2B competitive intelligence, and thought-leader research.

Unseen User

279

5.0

LinkedIn Post Search Scraper | Extract by Keyword

benjarapi/linkedin-post-search

Scrape LinkedIn posts directly from search results. Input a keyword or search URL to extract paginated post data and authors for easy analysis.

Benjar Scraping API

496

5.0

LinkedIn Posts Scraper

pratikdani/linkedin-posts-scraper

Scrape LinkedIn posts data from LinkedIn Post URLs.

Pratik Dani

1.2K

5.0

LinkedIn Posts Scraper

maximedupre/linkedin-posts-scraper

Scrape LinkedIn posts from profiles, companies, post URLs, feed updates, and search targets. Export text, authors, media, comments, reactors, reaction counts, repost context, and optional author profiles.