About logiover

The scrapers

Every scraper on this site is a real, deployed Apify actor with a live build, a public input schema, and dataset output. Each one solves a specific data-extraction problem someone is willing to pay for. They're not toys, demos, or proof-of-concepts — they ship and they scale.

The 390-actor catalog at a glance

Coverage today spans:

• Lead generation — b2b contact, registry & prospect data for sales pipelines (154 actors).
• E-commerce — product catalogs, prices, merchant intelligence (99 actors).
• Developer tools — apis, datasets and dev infrastructure scrapers (91 actors).
• Business — competitor intel, market research, registries (90 actors).
• Real estate — property listings, prices, agents — eu & global (65 actors).
• Social media — reddit, linkedin, podcast & content platforms (49 actors).
• Jobs — job board scrapers across geos and verticals (45 actors).
• Automation — headless workflows, data pipelines, api replacements (35 actors).

How scraper pricing works

All scrapers use Apify's pay-per-event model. You're charged only when results come back — successful row, successful API call, successful enrichment. No subscriptions, no minimum spend, no infrastructure to host yourself. Apify includes a free monthly credit; most exploratory jobs fit inside it.

Why public actors instead of a private SaaS?

Public Apify actors get free hosting, monitoring, auto-scaling, datasets, retries, and a built-in payment rail. Buyers can review the input schema and a sample output before they pay a cent. For a single developer shipping scrapers across dozens of niches, it's the cleanest distribution model on the market.

The other end: the data you already hold

A scraper answers “get me this data reliably, at scale.” The other half of the work points inward, at the data a company is already sitting on and expected to account for — an ISO 27001 risk register, a GDPR record of processing, an information asset inventory, an internal audit, a cash-flow forecast — which most people rebuild from an empty sheet every time. So the second line is Excel and Google Sheets toolkits where that structure already exists: scoring formulas, dropdown validation, automatic dates and status, and a dashboard that moves as you type. You enter your own organisation's data; the file does the rest.

The catalogue runs across 6 lines — iso 27001 & information security; data protection & privacy (gdpr); frameworks & regulatory readiness; quality, environment & safety — sold as instant downloads on Etsy, $14.90–$69 each. Every workbook ships as a single .xlsx that works in both Excel and Google Sheets, with no macros, realistic example rows you can delete, and a Read Me tab explaining each column.

These are independent templates, not official documents: they help you do the work a standard asks for, they do not reproduce the text of any standard, and buying one is not certification. Where controls or clauses are referenced, it is the identifier and a short descriptive label.

It is the same craft on both sides — decide what a record is, define the fields, validate what goes into them, and hand back something that still holds up a month later. One output is a dataset you pull; the other is a register you keep.

Custom requests

Need a scraper — or a toolkit for a framework or process that isn't here yet? Get in touch at support@logiover.com. Custom builds are accepted where the data is publicly accessible or the process is well defined, and they ship on the same infrastructure as everything listed here.

Where to follow

New scrapers, toolkits and guides are added regularly. The fastest way to stay current:

• Scraper catalog — every published actor with its categories, run counts and documentation.
• Spreadsheet toolkits — every line, what the tabs do, and what each file costs.
• Guides — deep walkthroughs on scraping techniques, schema design, and the trade-offs of building vs. buying.
• Sitemap for crawlers.