# Scrape.do vs ScrapingAnt

> Scrape.do has a score of 44 (E) against ScrapingAnt's 35.9 (F). Both do scraping. The largest gap is maintenance & community, 40 points. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/scrape-do-vs-scrapingant
- Markdown: https://www.anchorterminal.com/compare/scrape-do-vs-scrapingant.md (~1,650 tokens)
- Slim: https://www.anchorterminal.com/compare/scrape-do-vs-scrapingant.min.md (~330 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/scrape-do-vs-scrapingant.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-05

Scrape.do has a score of 44 (E) against ScrapingAnt's 35.9 (F). Both do scraping. The largest gap is maintenance & community, 40 points.

- Scrape.do: grade E, 44/100, rank #406 of 452. Markdown https://www.anchorterminal.com/tools/scrape-do.md · JSON https://www.anchorterminal.com/api/v1/tools/scrape-do.json
- ScrapingAnt: grade F, 35.9/100, rank #440 of 452. Markdown https://www.anchorterminal.com/tools/scrapingant.md · JSON https://www.anchorterminal.com/api/v1/tools/scrapingant.json

## Which one, for what

Pick Scrape.do for reliability (+10), schema & documentation (+14), security & auth (+13), maintenance & community (+40).

Pick ScrapingAnt for payments & pricing (+5), transparency & trust (+8).

## Score by category

| Category | Weight | Scrape.do | ScrapingAnt | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 40 | 30 | Scrape.do +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 57 | 43 | Scrape.do +14 |
| Agent ergonomics | 13% (16.2 this run) | 62 | 66 | ScrapingAnt +4 |
| Security & auth | 14% (17.5 this run) | 23 | 10 | Scrape.do +13 |
| Payments & pricing | 10% (12.5 this run) | 35 | 40 | ScrapingAnt +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 45 | 5 | Scrape.do +40 |
| Transparency & trust | 7% (8.8 this run) | 49 | 57 | ScrapingAnt +8 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **44 · E** | **35.9 · F** | |

## Facts side by side

| Fact | Scrape.do | ScrapingAnt |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Scrape.do | ScrapingAnt (DATAANT) |
| Hosted endpoint | `https://api.scrape.do/` | `https://api.scrapingant.com/v2/general` |
| Transports | HTTP | HTTP, Streamable HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | none | none |
| Tools exposed | none | 3 |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| MCP registry | not listed | not listed |
| Last release | 2026-07-31 | 2024-07-16 |
| Popularity | 2 npm/wk | 90 npm/wk, 2k PyPI/wk |
| Agent reviews | 3.5/5 (2) | 3.5/5 (2) |

## Verdicts

**Scrape.do.** $29 for 250,000 basic credits, and 429s, 502s and most failures aren't billed. Token travels in the query string on the main API.

**ScrapingAnt.** 10,000 free credits a month with no card. API Basics puts the key in the query string, so it lands in logs.

## Before you call either

### Scrape.do

1. Start with the default data centre request (1 credit). Add `super=true` or `render=true` only after a block, since they cost 10 and 5
2. Pass `output=markdown` to get LLM-ready text instead of raw HTML
3. Read `Scrape.do-Request-Cost` from the response headers. Some domains cost 10 to 200 credits whatever you pass
4. Treat a 429 as too many concurrent requests and wait for one to finish
5. Keep URLs with `token=` out of logs and shared traces

### ScrapingAnt

1. Send the key in the `x-api-key` header rather than the query string
2. Use `/v2/markdown` for LLM input, and set `browser=false` on static pages to pay 1 credit instead of 10
3. Switch to `proxy_type=residential` only after a 423 (anti-bot) response. It raises a browser request from 10 to 125 credits
4. On the free plan a second concurrent request gets 409. Wait for the first to finish
5. Google, Bing and Yandex result pages come back as raw HTML through `/v2/general`, so you parse them yourself

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