Advertiser Check (Google & Bing)
Company list in, one row per company out: Google ads, Bing ads, ad counts, accounts – for domains, Bing matches proven by landing pages.
Company checks and data from public sources.
Paste a list of companies or domains and get one row per company with a traceable answer. Today there are two checks: whether a company advertises on Google or Microsoft Bing, and who is legally behind a website, with the EU VAT ID checked against VIES.
Built in Germany. Focused on DACH and the EU.
Pricing: paid per company checked or per record, plus a small start fee per run; on most actors, paid Apify plans pay less. A company that does not advertise or has no imprint is an answer and is charged.
Every Sunday a watchdog runs the actors with inputs whose correct answers are known and publishes the result, failures included: Weekly checks →
Two checks for lists of companies, with a traceable answer per company.
Company list in, one row per company out: Google ads, Bing ads, ad counts, accounts – for domains, Bing matches proven by landing pages.
Domains in, company rows out: legal name, address, register number and EU VAT ID checked against VIES – from the Impressum.
Free: the same company row as the paid check – EU VAT ID checked against VIES, email, phone – for up to 10 websites per run.
Each actor reads public sources – or your own documents – and returns one row per record.
App ratings, versions and App Store reviews from both stores in one table.
App IDs or App Store keywords in, one row per app out – shared fields for App Store and Google Play, plus App Store reviews.
Who is hiring in Germany, how employees rate employers, who exhibits in Munich and Cologne.
Keyword and place in, one row per job out: employer, salary range, home office, location – who is hiring in Germany.
kununu profiles in, one row per employer out: score vs. industry, salary ranges of top job titles, benefits and reviews.
Exhibitor directory in, one row per exhibitor out: stand, address, phone, website, product groups – who exhibits in Munich.
Exhibitor list in, one row per exhibitor out: hall and stand, contacts, brands and product categories – who exhibits in Cologne.
EU tenders, German power plants and EU medical devices from public registers.
Countries and CPV codes in, one row per notice out: buyer, value, deadline and award winner – who wins public contracts.
Filters in, one row per plant out: operator, capacity, commissioning date, grid operator – who operates energy assets in Germany.
Filters in, one row per device, manufacturer or certificate out – who makes which medical devices in the EU.
PDF, Word, Excel and PowerPoint to Markdown – tables as Markdown and JSON rows, OCR for scans.
Files in, Markdown out – tables as Markdown and JSON rows, OCR for scans, RAG chunks with page numbers. No LLM involved.
Cited passages from the web, EU and German legal texts and open research for AI agents and RAG, with an evidence level for every source.
A question in, ranked passages out – each with its source and an evidence level; EU and German law texts included.
Not sure which actor fits? The free finder names it, with fields and run cost.
A source in, the matching actor out – with fields, record count and run cost. Free.