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@Aurelix-Solutions

Aurelix Solutions

Aurelix: clean, tested web data tools

Aurelix builds web data tools on the Apify Store for jobs, e-commerce, lead generation, ad research and public records. Every tool is built to do one job well, at a fair price.

The problem we solve: you need public web data (job postings, local businesses, product prices, competitor ads, funding rounds, building permits) in a spreadsheet or an AI agent, without logging in anywhere or copying pages by hand.

How: pick a tool below, give it a search, and download the results as CSV, Excel or JSON, or send them to Google Sheets, n8n, Make or an AI agent through the Apify MCP server. Each tool has a runnable Python example repository:

git clone https://github.com/Aurelix-Solutions/linkedin-jobs-example
cd linkedin-jobs-example && pip install -r requirements.txt
export APIFY_TOKEN=your_token_here && python main.py

Tools site: every public tool has a page with its live price, example input and output, and an FAQ at aurelix-solutions.github.io/tools, plus step-by-step guides.

Price: pay per result, listed on each tool's Store page, with nothing billed for platform usage on top. Apify's free plan includes $5 of credit a month.

What to expect from every tool

  • Tested before release. Each tool passes an independent check: records compared field by field against the source, and edge cases.
  • Pay only for results. Clear per-result pricing, no charge for duplicates or empty searches, and lower prices on paid Apify plans.
  • No login, ever. Tools read only public pages any logged-out visitor can see, at a polite pace.
  • Public data only. Data is returned as a logged-out visitor sees it on the public source (which can include names and contact details the source publishes); nothing behind a login, no sensitive categories, and removal requests are honoured.
  • Maintained daily. Automatic health checks catch site changes early, and issues get a reply within one business day.

Tools by use case

Each line says why the tool is worth picking.

Jobs and hiring

  • LinkedIn Jobs Scraper - LinkedIn job postings by keyword, country and date posted, with no login: title, company, location, salary where shown, seniority and description. Why this one: exact country filter and filtered-out jobs free; cheaper than the leading tools.
  • Greenhouse Jobs Scraper - Jobs straight from company career sites on Greenhouse, Lever, Ashby and SmartRecruiters, in one schema with salary, remote flag and apply link. Why this one: read live from each employer's board; cheaper than the leading tools.
  • Remote Jobs Scraper - Remote OK and We Work Remotely in one deduplicated list, with category, allowed regions, salary and posted date. Why this one: deduplicated across boards, with no platform usage on top; cheaper than the leading tools.
  • Multi Job Board Scraper - One job search across LinkedIn, company career sites and remote boards, with duplicates merged into one schema. Why this one: LinkedIn plus ~50 company career sites in one deduplicated search; cheaper than the leading tools.
  • Job Bank Canada Scraper - Canada Job Bank postings from the Government of Canada open data: NOC 2021 code, city and province, wage range, hours and benefits. Why this one: 46 months of history under a commercial-use licence; cheaper than the leading tools.

E-commerce and product research

  • Amazon Best Sellers Scraper - Amazon Best Sellers and New Releases by category in 10 marketplaces: rank, ASIN, price, rating and reviews, plus rank changes since your last run. Why this one: 10 marketplaces incl. amazon.ca; cheaper than the leading tools.
  • Amazon Product Search Scraper - Amazon search results for any keyword on amazon.com and amazon.ca, in page order: position, organic position, sponsored flag, ASIN, price, list price, rating, reviews and badges. Why this one: one row per product even when it is both an ad and an organic result, and an only-new-products mode; cheaper than the leading tools.
  • AliExpress Scraper - AliExpress search results for any keyword: price, original price, discount, rating, units sold and ship-from country. Why this one: sponsored results flagged; cheaper than the leading tools.
  • Shopify Products Scraper - Every product in a Shopify store's public catalogue: variants with SKU, price, compare-at price and stock flag, with price-change flags. Why this one: barcodes and stock counts included at no extra charge; cheaper than the leading tools.

Leads and local business

  • Google Maps Business Scraper - Google Maps business listings by keyword and city: categories, address, phone, website, rating, hours and coordinates. No review text. Why this one: many cities per run and an only-new-places mode; cheaper than the leading tools.
  • Contact Details Scraper - Contact details companies publish on their own websites: generic emails, phones, addresses, company social pages and team members. Why this one: priced per company, not per page; cheaper than the leading tools.
  • Decision-Maker Finder - Founders, executives, VPs and department heads from companies' own team pages, with work email or phone only where published. Why this one: many domains per run, and only contacts the company published (no guessed emails).
  • Recently Funded Companies - US companies that just raised a private round, from official SEC Form D filings: offering size, amount sold, industry, executives and directors, plus an optional website and contacts. Why this one: funds and SPVs removed by default, an only-new-filings mode and the company website confirmed against the filing.
  • Funded Companies Hiring - US companies that just raised money (new SEC Form D) joined to their confirmed website, every open role on their own job board and the business contacts they publish, as a monitor that alerts only on new raises and new roles. Why this one: seven job-board systems including Workday, and company contacts charged only when found; cheaper than the leading tools.

Ad research

  • Facebook Ad Library Scraper - Business ads from the public Meta Ad Library by keyword, page ID or Ad Library URL: ad text, media links, dates and platforms. Political ads excluded. Why this one: exact limits and a new-ads-only mode; cheaper than the leading tools.
  • TikTok Ads Library Scraper - Ads from TikTok's public EU ad library by keyword, advertiser or library URL: advertiser, who paid, dates shown, reach, ad text, landing page and targeting. Why this one: several keywords or advertisers per run, an exact ad cap and an only-new-ads mode, with no platform usage on top.

Public records

  • Government Tenders Scraper - Public tenders from SAM.gov, CanadaBuys and TED in one schema: buyer, NAICS, UNSPSC and CPV codes, value and closing date. Why this one: SAM.gov, CanadaBuys and EU TED in one run and one schema; cheaper than the leading tools.
  • Canada Building Permits Scraper - Development applications and building permits from seven Canadian cities' open data: address, ward, type, status, value, applicant and contractor. Why this one: development applications as well as permits, and a ward filter; cheaper than the leading tools.
  • USPTO Trademark API - US trademarks from USPTO's public Trademark Search by mark, owner, serial or registration number, with class, status and filing-date filters: owner, address, attorney, goods and services and all key dates. Why this one: similar-spelling search and a built-in watch of new filings and status changes; cheaper than the leading tools.

Web and AI

  • Website to Markdown Crawler - Each page of a website as clean Markdown of its main content for AI, RAG and LLMs, with title, headings and links. Why this one: a flat price per page with no compute-unit billing, and failed pages free; cheaper than the leading tools.
  • SEO Audit Crawler - A technical SEO audit of every page and the XML sitemap: status, redirects, meta tags, H1, canonical, noindex and broken links. Why this one: broken links and sitemap gaps included; cheaper than the leading tools.
  • YouTube Transcript Scraper - Transcripts of YouTube videos, channels, playlists or searches: full text, timestamped segments and AI-ready chunks, with title, channel, date and views. Why this one: channels, playlists and search in one run; cheaper than the leading tools.
  • PDF to Markdown Converter - PDF and Word (DOCX) files from URLs as Markdown per page, with tables as JSON rows, AI-ready chunks and automatic OCR for scanned pages. Why this one: Word files as well as PDFs, OCR for scans, and tables as rows; cheaper than the leading tools.

Marketing and SEO research

  • App Store & Google Play Scraper - App Store and Google Play apps and reviews in one schema: details, ratings, installs, App Store top charts, developer pages, and reviews with reviewer names as shown. Why this one: both stores and several countries in one run; cheaper than the leading tools.
  • Agoda API - Agoda and Booking.com guest reviews from Agoda with the hotel's scores and six sub-scores on every row, owner replies and original-language text. Why this one: many hotels per run by link, Agoda ID or hotel name; cheaper than the leading tools.
  • Google Trends Scraper - Google Trends for any number of keywords on one 0-100 scale: interest over time, interest by country, state, metro or city, and top and rising related queries. Why this one: accepts Google Trends explore links, with no platform usage on top; cheaper than the leading tools.
  • Google Autocomplete Scraper - Keyword ideas from Google Search and YouTube autocomplete: A-Z, 0-9, question and preposition modifiers for every seed, country and language, with intent tags. Why this one: Google and YouTube suggestions in the same run; cheaper than the leading tools.
  • Tech Stack Detector - The technologies a website runs, one row per domain: CMS, e-commerce platform, analytics, ad pixels, chat, payments and hosting, plus the email provider from DNS. Why this one: reads the live site plus its MX, SPF and DMARC records; cheaper than the leading tools.

Sports data

  • Tennis Odds Scraper - Tennis results and bookmaker odds from TennisExplorer, one row per match: ATP, WTA, Challenger, ITF and UTR, score by set, and opening and closing odds per bookmaker. Why this one: opening and closing odds from 10 to 15 bookmakers per match with implied probabilities, plus closing odds for past seasons; cheaper than the leading tools.

Example code

Each tool has a small public example repo, Aurelix-Solutions/<tool>-example, with a runnable Python script (apify-client) that starts the tool, prints a few fields and saves a CSV, plus notes on Google Sheets and n8n. The code is MIT licensed. awesome-aurelix lists them all.

Need something?

Open an issue on any tool's Issues tab on the Apify Store for bugs, feature requests or a custom data source. Feedback and reviews help us decide what to build next.

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  6. google-trends-example google-trends-example Public

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