Honest comparison
tikklip vs Apify
Apify is a marketplace where independent developers publish TikTok scraper 'actors', each with its own price, schema and maintainer. You pay per result, typically per 1,000 rows.
Short version
Apify wins on ceiling and flexibility; if you need millions of rows or a bespoke field set, use it. tikklip wins on predictability — one price, one schema, one thing to learn.
Side by side
Our column comes from the same constants the product runs on. Apify's column was read from their own site on July 26, 2026. Where they do not publish a figure, we say so rather than guess — and their pricing may have changed since.
| tikklip | Apify | |
|---|---|---|
| Pricing model | Flat monthly — Pro $39, Agency $99 | Per result, varies by actor (commonly quoted around $0.20–$2.50 per 1,000 comments) |
| Who maintains the scraper | We do | Independent actor authors; quality and upkeep vary |
| Output schema | One documented schema across every export | Differs per actor |
| Comment export depth | Up to 10,000 per video | Effectively uncapped, budget permitting |
| Monthly comment exports | 30 on Pro, 150 on Enterprise | Uncapped, budget permitting |
| REST API | Yes, from Agency — 10,000 requests/mo | Yes, platform-wide |
| Cost predictability | Fixed — quota is capped, so the bill cannot surprise you | Usage-based; a large run costs proportionally more |
| Setup | Paste a link in a dashboard | Choose an actor, configure input JSON, run |
When Apify is the better choice
- No ceiling. If you need hundreds of thousands of rows in one run, our per-month quotas will stop you and Apify will not.
- Far more scraper types than TikTok alone, across the whole web.
- Pay-per-result is cheaper for genuinely occasional use — a single small run costs cents, not a month's subscription.
- You can fork or commission an actor to return exactly the fields you want; our schema is fixed.
When tikklip is
- One maintained pipeline instead of choosing between near-identical actors of unknown upkeep.
- The bill is the plan price. Usage-based scraping is where surprise invoices come from.
- The schema is stable and published, so downstream spreadsheets and scripts do not break when you switch job type.
- Downloads, scraping, search, comments and followers are one product with one login, not five separate actors.
See the exports for yourself
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