About logiover

What gets built here

Every scraper on this site is a real, deployed Apify actor with a live build, 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 227-actor catalog at a glance

Coverage today spans:

• Lead generation — b2b contact, registry & prospect data for sales pipelines (76 actors).
• Business — competitor intel, market research, registries (60 actors).
• Developer tools — apis, datasets and dev infrastructure scrapers (55 actors).
• Automation — headless workflows, data pipelines, api replacements (35 actors).
• Other — niche datasets and utilities (35 actors).
• Social media — reddit, linkedin, podcast & content platforms (34 actors).
• Marketing — ad libraries, campaign data, brand monitoring (28 actors).
• Real estate — property listings, prices, agents — eu & global (27 actors).

How 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.

Custom scraper requests

If you need a scraper that isn't in the catalog yet, reach out via the Apify profile. Custom builds are accepted for projects where the data is publicly accessible and the volume justifies the work. Same infrastructure, same pricing model.

Where to follow

New actors and guides are added regularly. The fastest way to stay current:

• Apify profile — all published actors with their full input schemas and live build status.
• Guides on this site — deep walkthroughs on scraping techniques, schema design, and the trade-offs of building vs. buying.
• Sitemap for crawlers.