Scrap.io made its name on a specific angle: querying Google Maps not query by query, but by crossing category × territory. You pick an activity and a country or region, and the tool returns the matching businesses. That is directory-reconstruction logic, not one-off search.
Looking for an alternative therefore means deciding which of its two promises you want to keep: systematic coverage of a territory, or the flexibility of on-demand extraction. Few tools hold both at the same quality.
Systematic coverage versus on-demand extraction
Systematic coverage answers "give me every X in region Y". Its quality is judged on exhaustiveness and on how finely the territory is cut: a tool that stops at regional granularity misses what municipal granularity catches, because Google Maps caps how many results a single query returns. That is where the real work sits — slicing the territory finely enough not to hit that ceiling.
On-demand extraction answers "give me what this precise search returns". More flexible, closer to a field intent, but it guarantees no exhaustiveness.
The classic trap is judging a coverage tool on an on-demand test, or the reverse. An extraction returning 120 rows where the territory holds 900 is not a bad tool: it is the wrong mode.
The alternatives, by nature
Outscraper and API extraction services aim at source breadth and integration into an existing system. A good fit if extraction is only one brick in a chain you already drive with code.
Apify offers configurable Maps actors and solid orchestration. Territorial slicing remains yours: you decide how to tile the area to work around the results ceiling.
Browser extensions suit one-off work and nothing else. No resume after interruption, no scheduling.
Outsend treats territorial tiling as a parameter of the extraction module rather than as preparatory work, and follows extraction with cleaning, deduplication and verification modules. The product is in alpha: its country coverage is younger than Scrap.io's, which built its advantage on exactly that point.
Freshness discriminates more than volume
Two tools claim the same number of businesses in an area. One queries the source when you launch; the other serves a database built months ago. The second will be faster; it will also hand you closed businesses, reassigned phone numbers and dead websites.
Local listings decay fast: rebrandings, closures, relocations. The test that settles it costs nothing — take twenty rows at random and check how many websites still respond. A dead check on dead URLs automates exactly that across the whole file, and it reveals a database's real age far better than any stated date.
What happens after extraction decides the real cost
Extraction is the visible part and the least demanding. What follows weighs more: removing duplicates between overlapping areas, discarding invalid phone formats, finding a contact when the listing carries none, and completing the legal form when you need it to qualify.
A Maps listing almost never carries an email: that is inferred from the linked website, which is a separate step — and precisely the one that brings the processing into GDPR scope as soon as an email is nominative. Treating it as an explicit module, such as a GDPR-compliant professional email finder, rather than a column that appeared by magic, is what makes the processing documentable.
FAQ — Scrap.io alternatives
Why does a Google Maps extraction hit a results ceiling?
Because the source limits how many listings a single search returns. The workaround is not technical but geographic: cut the territory into smaller zones and add the results, deduplicating the overlaps.
How do you know whether a business database is current?
Do not trust a stated date: sample it. The share of websites still responding and the share of valid phone numbers are two immediate indicators that are hard to fake.
Should you prefer a local vendor for local data?
The vendor's nationality has no effect on extraction quality. It does affect the contract: hosting location, subprocessing and applicable clauses are easier to verify within a European framework, which matters as soon as the file holds personal data.
Can you get the same data from official registers?
Partly. Registers give legal exhaustiveness and the official identifier, but the declared address may be a registered-office service and a usable contact is often missing. Local listings give the ground truth. The two complement each other.
What should you check before using an extracted file?
Three rates, in this order: duplicates, valid phone formats, websites still live. Until those three are measured, the row count says nothing about the file's value.