Blackcube

Build a country-scoped ecommerce lead list from Shopify stores, filtered on the market each store declares for itself rather than guessed from its language. Every record carries currency, the full ships-to list, contact email, socials, store size and installed apps.

Reviews of an online store from the sites shoppers actually use: Trustpilot, Sitejabber, ResellerRatings and PissedConsumer. One domain in, one schema out, with each site's aggregate rating and review count. Re-runs bill only what is new. Failures are free.

Verify email lists and validate phone numbers in one run: syntax, MX, disposable and role detection, typo suggestions, a real mailbox check where the server answers, plus phone validity, type and country. Pure compute, no scraping. Invalid input is free; pay less when less could be checked.

Pull a rival Etsy shop's listings and see exactly how they price, tag and position: price range and median, total favourites, bestseller count and their most-used SEO tags, plus every listing behind those numbers. Pay per listing, no run-start fee.

Generate hundreds of long-tail Etsy keywords from one seed. An A-Z and 0-9 sweep plus twenty buyer-intent shapes pull the specific, low-competition phrases shoppers actually type, each with the rank Etsy itself gives it. Pay per keyword, no run-start fee.

Put a list of Etsy listings or a search term on a daily schedule and get every price, quantity and favourite count back in the same shape each run. No run-start fee, so a quiet day costs nothing. USD and the shop's own currency on every row. Pay per listing.

Research the print-on-demand and digital-download side of Etsy: which designs sell, what they charge, how many favourites they hold and the exact tags they rank on. Filter to digital products only, or exclude them to see physical rivals. Pay per listing, no run-start fee.

See the tags and titles working for the listings that already rank on Etsy, and the search phrases Etsy suggests for them. Every listing returns all 13 tags, its title, category path and favourites, so you can copy what ranks. Pay per listing, no run-start fee.

FINN.no in one schema: classifieds, cars and job adverts with price in NOK, coordinates, images and private-vs-dealer. Paste a saved FINN search and its filters are honoured exactly. Car rows carry plate, VIN and real kilometres; job rows carry employer and deadline. Failures are free.

Monitor Google Maps places on a schedule: only new reviews, plus rating, phone, website and hours changes. Nothing new costs almost nothing. No login.

Scrape Google News as clean JSON with real publisher URLs instead of Google redirect links, full article text, author and sentiment. Date-window archiving returns thousands of articles past Google's 100-per-feed limit. Search, topics, locations, publishers. Pay per article - failed runs are free.

A clean JSON API for Google search trends: give it keywords and get interest over time, interest by region, and related and rising queries as structured rows - ready for a pipeline, a dashboard or a model. Run it on a schedule; re-runs bill only what is new. No proxy setup. Failures are free.

Watch a Google Sheet and get told what moved. Every row comes back stamped added, updated, removed or unchanged against the previous run, so a schedule becomes a change feed for Slack, a webhook or another Actor. Unchanged rows are never billed, so an hourly cron stays affordable.

Used by ops teams and no-code pipelines that need a Google Sheet as an API. Google Sheets scraper returning typed JSON rows with no Google sign-in, no OAuth and no Drive prompt. Link-shared sheets work from the URL alone. On a schedule it bills only the rows that actually changed.

Your spreadsheet as a JSON dataset, on demand or on a schedule. Rows come back keyed by column header with real types - numbers as numbers, dates as ISO-8601 - so they drop into a pipeline, a database load or an LLM prompt with no cleaning step. No Google login for link-shared sheets.

Point it at a Google spreadsheet and get clean JSON rows: every cell keyed by its column header, numbers as numbers, dates ISO-normalised, every tab in one schema. No Google login and nothing to install. Read several spreadsheets in one run, and pay nothing for a run that reads nothing.

What is trending on Google right now, by country: every trending search from the last 4 to 168 hours with approximate search volume, growth, when it started, its category, and the latest news headlines with links. Put it on an hourly schedule and pay only for new trends. Failures are free.

Compare up to five keywords on one shared 0-100 scale in a single Google Trends run - so the numbers are directly comparable, not five separate charts you have to reconcile. Each report lists the others it was measured against. Interest over time and by region. Failures are free.

Where is a keyword searched most? Get the interest-by-region breakdown from Google Trends for any keyword - by country, subregion, metro or city - in one run and one schema, on a 0-100 scale with every place named. City data included where Google has it. Failures are free.

Every related and rising search for a keyword on Google Trends, in one run: the top related queries on a 0-100 scale and the rising ones by growth, with breakouts flagged. Optional flat rows for a tidy CSV. Turn keywords into content ideas. Failures are free, no run-start fee.

Catch searches while they are still climbing. This pulls the rising and breakout related queries for a keyword on Google Trends - the ones growing fastest, before they peak - in one run and one schema, with optional flat rows for a CSV. Built for spotting momentum early. Failures are free.

Every Google Trends signal in one run and one schema: interest over time, interest by region and city, top and rising related queries, compare up to five keywords on one scale, and Trending Now with news. A keyword with no data is free; no run-start fee.

Scrape reviews for any iOS app from the Apple App Store: rating, title, text, date, app version, reviewer, helpful votes and the developer's reply, from any of the 175 storefronts. Goes past the 500-review feed limit through the store's deep catalog and reports what it reached. Pay per review.

A full keyword research pass from a single seed. Alphabet sweep, questions, comparisons and buying-intent phrases across eleven search engines, deduplicated into one list with Google's own relevance score on every row. No search volume is invented. Pay per keyword.