Hamza

Turn Yandex Maps into a ready-to-work local business list. Search 21 cities by term or category and collect name, phone, website, social profiles, address, coordinates, rating, review count and opening hours. Sweep a whole city with a map grid.

Collect customer reviews for any business on Yandex Maps; star rating, full text, date, reviewer name and the owner's public reply. Watch your own locations, benchmark how fast competitors answer, or search a category in a city and pull the reviews for every business it finds.

Track prices on Russia's biggest marketplace. Turn search terms, categories and brand pages into one clean table of products with prices, sellers, ratings, delivery promises and stock counts. Watch competitors daily, audit your own listings, export to a spreadsheet.

Export every product Amazon lists in a category. Paste a category link, a category ID or an Amazon search link, narrow it by price band, star rating and Prime before collecting, sort by best selling or price, and optionally attach the complete product record to every product.

Scrape any subreddit into clean, structured data: title, full text, author, score, upvote ratio, comments, flair, awards, dates, links and every image, gallery and video URL. Sort by new, hot, top, rising or controversial, and filter by date, score, comments, flair or keyword. No account needed.

Turn any Reddit username into a full profile dossier: karma breakdown, account age, trophies, plus every post and comment with scores, communities, dates and links. Includes ready-made stats — karma per day, top communities, posting cadence — for vetting, outreach, monitoring and research.

Turn a few Telegram channels you know into hundreds you do not. It follows the channels your seeds link to, forward from and name, then returns each one with its exact subscriber count, name, description and alphabet, filtered to the size you want. Every result says which channel led to it.

Collect every written Walmart review for any product — text, rating, author, date and helpful votes with a product summary of average rating and star breakdown. Paste links or IDs.

Scrape LinkedIn jobs by keyword, job title, location, company, date, experience level, employment type, and workplace type. Extract job titles, companies, locations, salaries, posting dates, applicant counts, full descriptions, and LinkedIn job URLs without login or cookies.

Turn any Alibaba supplier storefront or product link into a verified company record: legal entity name, business licence registration number, registered capital, registered address, certifications, export markets and trade terms. Know exactly who you are buying from before you order.

Is this a good price? For any route: today's cheapest fare against that route's usual price, a low/typical/high verdict, 61 days of daily price history on the very first run, and how far ahead the route is normally cheapest to book — by week, month and weekday.

Get the published timetable for any airport pair. One row per scheduled flight: airline, flight number, aircraft type, local departure and arrival times, block time, weekday pattern and the dates each schedule runs. Filter by airline, season or frequency. No account or login needed.

🎥 Extract YouTube search results with full video and channel metadata, including views, likes, subscribers, URLs, thumbnails, and more. 🚀 Fast, reliable, and scalable.

Count Airbnb's whole supply in a city, not just the first page. It sweeps a city in many small map areas and merges them into one de-duplicated census of listings, prices, ratings, coordinates and per-area density — with a coverage report stating how complete the count is.

Collect every Airbnb review for any listing: full text, 1-5 star rating, exact date, language, reviewer and the host's reply. Each listing also gets its published rating breakdown, star histogram, topic tags, reply rate, monthly review volume and language mix. No account needed.

Resolve any place name, IATA or ICAO code into clean airport, city and airline reference records: official names, codes, coordinates, time zones, currency, city-wide groupings and cross-platform place identifiers. Ambiguous names are flagged, never guessed. No account or login needed.

Every departure and arrival at any airport, as one clean row per flight. Live status, terminal, gate, estimated time and delay. Codeshare duplicates folded into the aircraft that actually flies, so a day at JFK is 656 real movements, not 2,861. Whole day or right now, 25 airports at once.

Map the full non-stop network of any airport: every destination, the airlines on each route, flights per week, operating days, flight time, distance and the months it runs. Up to 30 airports per run, one clean row per route. No account and no login needed.

Every live AliExpress deal in one table, with the clock attached: deal price, was-price, discount, stock, rating and the exact moment each offer expires, stamped beside the moment it was collected. Filter by discount, price or time left. Pick your country. No account, no login.

Find what to sell on AliExpress using published numbers only: exact units sold, units sold per day since launch, rating, review volume, discount and local stock. Ranked shortlist, deduplicated, with every figure and weight shown. No estimated revenue, no invented scores.

Collect the public reviews on any AliExpress product: star rating, the shopper's own words plus an English translation, buyer country, the exact variant bought, photos and after-sale follow-ups. One product or a thousand, with the full star breakdown for each.

Build one clean, deduplicated list of Amazon ASINs from many places at once — search terms, Best Seller charts, seller storefronts and any Amazon listing link. Every ASIN says which source found it, caps keep the run bounded, and full product details can be attached on demand.

Turn seed terms into the keywords Amazon suggests to shoppers. Expand each seed through a-z and shopping modifiers, de-duplicated across the run, and optionally attach competition data: how many products compete, the price range, how many placements are paid, and the leading brands.

One row per Amazon product instead of one per review: the full star breakdown, the share of critical ratings, and the themes customers keep raising — each with how many said it and how it split between praise and complaint. Find what to fix, or what a rival's buyers grumble about.