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코딩 에이전트 플러그인, 20개 실시간 작업에서 기본 모델 52% 활용, 간결한 페르소나와 출력 압축 제공
10개의 웹 스크래핑·데이터 API를 AI 에이전트 정답률·비용·시간 기준으로 평가했습니다
10 web scraping and web data APIs graded on whether an AI agent got the right answer: task success, cost per finished task and time, with confidence intervals.
개발 도구TypeScript · JavaScriptGitHub @opencoredev온라인운영자 미확인
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Web data APIs for AI agents (scrape, search, map, crawl), graded on whether the job got done
README 전체를 불러오는 중입니다.
README 전문 보기 ↗scraping-bench grades web data APIs on whether an AI agent got the job done with them. Each provider becomes the only tool of the same agent (Claude Haiku 5.5, same prompt, same limits), which has to return specific facts: a page's first heading, a package version, every URL in a docs section. A script checks every answer against a key from an official source. No model grades anything.
This is campaign v2: four tracks (scrape, search, map and crawl) on the real web, mostly documentation sites, scored under the rules in docs/MEASURE-v2.md. Ten providers were tested: Browserbase, Context.dev, Firecrawl, Jina Reader, Linkup, Scrapfly, Spider, String, TinyFish and You.com.
Results site · Full report · How it's measured · Every row
On the site: scrape · search · map · crawl · every provider · head-to-head comparisons · Firecrawl alternatives · FAQ
The agent score is the headline: the share of core tasks where every answer field was right. Intervals are 95% from 10,000 paired bootstrap draws that resample whole sites. A provider is in the top tier when its gap to the leader could be chance. "Answer in response" checks the provider's own output with no model involved, so it's an upper bound. Cost per finished task is all provider and model spend divided by tasks passed.
| Provider | Agent score | 95% interval | Answer in response | Page coverage | Cost per finished task | Tier |
|---|---|---|---|---|---|---|
| Context.dev | 38/40 (95.0%) | 85.0% to 100.0% | 38/40 | 98.5% | 1.36¢ | top |
| Spider | 37/40 (92.5%) | 81.0% to 100.0% | 38/40 | 99.3% | 0.88¢ | top |
| Scrapfly | 36/40 (90.0%) | 78.6% to 100.0% | 36/40 | 93.4% | 1.17¢ | top |
| String | 35/40 (87.5%) | 75.6% to 97.4% | 38/40 | 98.2% | 1.33¢ | top |
| Linkup | 34/40 (85.0%) | 71.4% to 95.7% | 37/40 | 99.6% | 1.23¢ | below |
| Firecrawl | 32/40 (80.0%) | 65.8% to 92.3% | 36/40 | 97.8% | 1.67¢ | below |
| TinyFish | 31/40 (77.5%) | 61.0% to 92.1% | 31/40 | 92.3% | 0.71¢ | below |
| Browserbase | 30/40 (75.0%) | 59.5% to 89.2% | 30/40 | 82.0% | 1.93¢ | below |
| You.com | 29/40 (72.5%) | 56.1% to 89.2% | 31/40 | 84.9% | 1.00¢ | below |
| Jina Reader | 6/40 (15.0%) | 5.1% to 25.6% | 18/40 | 72.8% | 4.26¢ | below |
Model alone, no tool: 0/40. Correct page given: 38/38.
| Provider | Agent score | 95% interval | Answer in response | Cost per finished task | Tier |
|---|---|---|---|---|---|
| Linkup | 28/30 (93.3%) | 85.3% to 100.0% | 23/27 | 2.19¢ | top |
| TinyFish | 26/30 (86.7%) | 70.0% to 100.0% | 25/27 | 0.97¢ | top |
| Firecrawl | 26/30 (86.7%) | 71.4% to 97.1% | 22/27 | 2.91¢ | top |
| Context.dev | 25/30 (83.3%) | 62.5% to 100.0% | 23/27 | 1.39¢ | top |
| String | 23/30 (76.7%) | 55.9% to 96.2% | 19/27 | 1.32¢ | below |
| You.com | 21/30 (70.0%) | 50.0% to 86.7% | 16/27 | 2.64¢ | below |
| Browserbase | 21/30 (70.0%) | 50.0% to 86.7% | 11/27 | 2.79¢ | below |
Model alone, no tool: 5/30.
| Provider | Agent score | 95% interval | Answer in response | Cost per finished task | Tier |
|---|---|---|---|---|---|
| String | 14/15 (93.3%) | 80.0% to 100.0% | 14/15 | 0.98¢ | top |
| Firecrawl | 13/15 (86.7%) | 66.7% to 100.0% | 13/15 | 1.32¢ | top |
| Context.dev | 12/15 (80.0%) | 60.0% to 100.0% | 12/15 | 0.98¢ | top |
Model alone, no tool: 0/15.
| Provider | Agent score | 95% interval | Answer in response | Cost per finished task | Tier |
|---|---|---|---|---|---|
| Scrapfly | 12/12 (100.0%) | 100.0% to 100.0% | 12/12 | 3.49¢ | top |
| Firecrawl | 12/12 (100.0%) | 100.0% to 100.0% | 12/12 | 8.29¢ | top |
| Context.dev | 11/12 (91.7%) | 75.0% to 100.0% | 11/12 | 5.86¢ | top |
Model alone, no tool: 0/12.
Spider ran scrape only. Map and crawl only include providers with a native endpoint for that job. Not tested in v2: Exa, Tavily, Bright Data, Perplexity and Parallel. Jina's search was left out because it has no hard cap on tokens per call.
String was added after the campaign. It ran on 2026-10-24, five days after the other providers, on the same frozen tasks and harness, and was measured in the same build as everyone else. No other provider was called again, and no other provider's number changed. String has no endpoint that returns page content across a site, so it isn't in crawl.
On scrape, String's own output held the answer on 38 of 40 tasks; the agent finished 35. The three tasks in between:
pydantic-settings: the frozen key is 2.16.0, but 2.16.1 shipped on 2026-10-20. String returned the live page and the agent answered 2.16.1. Counted against the live key, String scores 36/40.<title> as a # heading above the page's real H1, and the agent answered with the title.results/measure-v2-string/drift.json re-checks every key String missed against its live source. The frozen-key scores above are the headline. results/measure-v2-string/reconciliation.json matches String's spend ($0.4341) and request counts to its dashboard.
여기까지가 README 앞부분입니다. 나머지는 원문에서 읽을 수 있습니다. README 전문 보기 ↗