Both are AI-native crawlers. Same credit volume at every tier, more features included, with the multi-page crawl primitives that production RAG ingestion needs at scale.
| Tier | crawlcrawl | ScrapeGraphAI | Difference |
|---|---|---|---|
| Free | $0 · 1,000 credits | $0 · 500 credits | 2x more credits |
| Entry paid | $15 · 10,000 credits | $17 · 10,000 credits | $2 / month less |
| Mid | $69 · 100,000 credits | $85 · 100,000 credits | $16 / month less |
| Growth | $279 · 500,000 credits | ~$280 · 500,000 credits | Comparable |
| Scale | $499 · 1,000,000 credits | $425 · 750,000 credits | More credits on crawlcrawl |
Source: live pricing pages, verified 2026-05-16. ScrapeGraphAI pricing
| Tier | crawlcrawl concurrency | ScrapeGraphAI concurrency |
|---|---|---|
| Free | 2 | 1 |
| Entry paid | 10 | 3 |
| Mid | 50 | 15 |
| Growth | 100 | 50 |
Higher concurrency converts batch jobs from "leave it running overnight" to "ten minutes during a meeting." For production teams, this is often the most underappreciated dimension of crawler pricing.
| Capability | crawlcrawl | ScrapeGraphAI |
|---|---|---|
| Clean markdown output | Included | Included |
| JavaScript rendering | Included | Included |
| 190+ country routing | Included | Standard |
| Multi-page crawl with link discovery | Included | Limited |
| Stored crawl datasets (paginated retrieval) | Included | Not advertised |
| Change-detection diff between runs | Included | Not advertised |
| Orphan / link-graph extraction | Included | Not advertised |
| Schema.org / OG / JSON-LD in same response | Same pass as markdown | Separate request |
| Scheduled crawls with cron | Included | Not advertised |
| HMAC-signed webhooks with retry | Included | Not advertised |
| LLMs.txt generation | Included | Not advertised |
| Screenshot API | Included | Not advertised |
| Live search API under same key | Included | Separate product |
| API key rotation | Included | Not exposed |
| Robots policy resolver | Included | Not exposed |
ScrapeGraphAI built around an interesting bet: use an LLM to drive the extraction logic itself. Point their API at a page, describe what you want in natural language, and the model interprets the request and returns structured data. For one-off extraction tasks where the schema is unclear in advance, this is genuinely useful and creative engineering. The team has earned real recognition for the approach.
For teams whose primary need is irregular, schema-flexible extraction across a small handful of pages, ScrapeGraphAI is a strong, credible choice.
If you are running production RAG ingestion, multi-source content monitoring, or SEO audits at scale, the features that matter are multi-page crawl orchestration, stored datasets, change-detection diff, and scheduled refresh. crawlcrawl was designed around those primitives and ships them at every paid tier from $15 a month. For workloads where ingestion is continuous and the corpus is large, the integrated platform replaces three or four single-purpose tools.
A team running production at the most common entry-paid workload picks Pro on crawlcrawl. The equivalent on ScrapeGraphAI is Starter at $17 for the same 10,000 credits, but with 3 concurrent requests instead of 10 and without the dataset, diff, and scheduled-crawl primitives.
| crawlcrawl Pro | ScrapeGraphAI Starter | |
|---|---|---|
| Plan you must buy | Pro | Starter |
| Monthly cost | $15 | $17 |
| Concurrency | 10 | 3 |
| Multi-page crawl included | Yes | Limited |
| Dataset storage and diff endpoint | Yes | No |
| Scheduled crawls with cron | Yes | No |
| Annual cost | $180 | $204 |
"We cut our security asset-discovery pipeline from eight services to one. The dataset diff endpoint is what closed the deal."— Rajesh Meta, Co-founder & CTO, Quick ZTNA
"Two million pages indexed every month, audited by diff. Our scraper team is gone."— Amit Tanwar, Founder, Networkers Home
For most production crawling and RAG ingestion workloads, yes. crawlcrawl ships the multi-page crawl, dataset storage, change-detection diff, and scheduled refresh primitives that single-page LLM-extraction tools do not. For irregular schema-flexible extraction on a handful of pages, ScrapeGraphAI's LLM-driven extraction model can be the right fit.
LLM-driven extraction is genuinely more expensive to operate per credit than rule-based markdown extraction. ScrapeGraphAI's pricing reflects the LLM operations they run inside the platform. crawlcrawl's lower price reflects a different architecture choice: structured-data signals returned alongside markdown rather than synthesized by an LLM at request time.
The endpoint shapes are similar enough that most workloads migrate by changing the base URL and authentication header. For extraction workflows that rely on natural-language prompts, the migration involves re-thinking how schema extraction happens; crawlcrawl returns schema.org and JSON-LD in the same response so the LLM-prompt-to-extract pattern becomes unnecessary.
1,000 credits per month, every month, no card required, permanent. Use it for as long as the volume covers your workload.
crawlcrawl returns structured-data signals (schema.org, Open Graph, JSON-LD, hreflang) extracted from the source HTML in the same response as the markdown. For most RAG workloads this removes the need for LLM-driven extraction entirely. For cases where you do want LLM-driven post-processing, the markdown output is clean enough to feed directly into your own LLM call.
Free tier first, no card. 10,000 credits a month at Pro for $15.