Muhammad Ahmed

Scrape Reddit posts from any subreddit or search query: titles, scores, comment counts, authors, flair, timestamps, outbound links and NSFW/spoiler/OC flags. No login, no browser.

Scrape Google Trends without the failures. Interest over time, interest by region, rising and breakout queries, keyword comparison, and up to 2,600+ trending searches per region with search volume.

Scrape Apple App Store app details, customer reviews and search results across any storefront. 29 fields per app, per-country ratings, no proxy needed.

Scrape Booking.com hotel search results with live prices in a currency you choose, guest review scores, star ratings, addresses and distance. Filter-slicing returns ~180 hotels per destination where a naive scraper gets 25.

Scrape Google News search results, topic sections, local news and top headlines in any language and edition. Publisher, timestamp and snippet per article, with cross-feed deduplication.

Scrape Google Play app details and search across storefronts: exact rating, install counts, price, in-app purchase range, developer, description and screenshots. Recovers fields when Google changes its layout.

Scrape LinkedIn job listings without a login or cookie: job titles, companies, company pages and logos, locations, posting dates, salary ranges, seniority, employment type and full descriptions for any keyword and place.

Scrape YouTube comments with author, likes, reply counts and timestamps. Sort by top or newest, optionally include replies, no login or API key required.

Extract YouTube transcripts from videos, playlists, channels or search queries. Works when other transcript scrapers return nothing. Five output formats, 100+ languages, YouTube translation.

Scrape Zillow for-sale, for-rent and recently-sold listings: prices, beds, baths, square footage, home type, days on market, Zestimates and GPS coordinates for any US city or ZIP code.