How does AI-powered web scraping work?

You send a URL and a natural language prompt describing the data you need. Our AI models read and understand the page content, then extract exactly the fields you asked for, returned as structured JSON. It handles dynamic content, SPAs, and messy HTML automatically.

What is ScrapeGraphAI?

ScrapeGraphAI is an AI-powered web scraping API that lets you extract structured data from any website using natural language prompts. No complex selectors, no brittle scripts. Just describe what you want and get clean JSON back.

ScrapeGraphAITegemine kasutuskohad struktuuriga struktuuriga datate API'i

4.8 (5)

Vaadanud Daniel Nikulshyn·Uuendatud mai 2026

Web Scraping API Data Extraction AI-Powered Developer Tools Automation Structured Data

Ülevaade

ScrapeGraphAI on tehisintellektil põhinev veebikraapimise platvorm, mis teisendab struktureerimata veebisaidi sisu puhtaks, struktureeritud andmeks, mis on juurdepääsetav API kaudu. Habraste kraapimisskriptide kirjutamise ja hooldamise asemel kirjeldavad kasutajad, mida nad soovivad eraldada loomulikus keeles, ja lasevad aluseks olevatel keelemudelitel käsitleda sisu parsimist, navigeerimist ja andmete kujundamist. Teenus on suunatud arendajatele, andme meeskondadele ja ettevõtetele, kes vajavad usaldusväärseid torusid turu-uuringute, juhtide genereerimise, hinna jälgimise või treeningu andmekogumite jaoks. See abstraheerib levinud kraapimise peavaludest, nagu paigutuse muutused, lehekülgede nummerdamine ja JavaScripti renderdamine, tagastades JSON-väljundi, mis on valmis allavoolu rakendustesse lisamiseks.

Põhifunktsioonid

Loodusliku keele andmete ekstraheerimine
REST API lihtsaks integreerimiseks
Lehtede pööramise ja navigeerimise automaatne käsitlemine
Toetus dünaamilistele, renderdatud veebilehtedele
Struktureeritud JSON väljund
Skaleeritav pilvepõhine kraapimine

Hinnad

Mudel: Freemium
Kategooria: Teabe Agentid
Hinnang: 4.8 / 5 (5)

Kasutusjuhud

Kaasaseadete tehnoloogiateka

Ajasandudes tehnoloogiateka

“Ära sisalde andmepakett käsukäiiendis elektriesuliiklus”

JSON and XML format conversions

Ära JSONi ja XMLi formaa andmete andmete tehnoloogiateka

“Esmaspäringu elektri andmeretseole karistus”

Data mining from dynamic websites

Eemalise hariduse API andmete andmete tehnoloogiateka

“XML ja JSON formaalt XML ja JSON formaaliset andmete andmete ruumetäi”

API integration with multiple data sources

Tehnoloogiatekuse API andmete andmete olek

“JSON ja XML formaa andmete XML ja JSON formaa andmete värskendamine ja XML ja JSON formaa andmete konversion võimalus”

Plussid ja miinused

Plussid

Inglise kasutus automaatne sisu uurimine
Sisu on kasutusest piisavalt tärimäärase XML failide loomine
Haridus allalaaddis XML datast esimese kasutus andmeabalise rakenduste kasutasake
Lihtne andmete kuivatamine nopega
Nimeta kassandid, klõpsad andmad

Miinused

Kohandatud veebis kasutamist veel ei ole
Tugev ettevaatlikud peitmise allalaadimise võimalus
Kohased uurimine veebitesinemine automaatseid XMLi failid.
Veebivõrk kasutus ja suurimade kasutus andmete andmete ehitus automatiseeridega tänavuled
Kanna kodulehtede küsimu katsumine veebitedetied on andmete automaatne jälle XML failide genereerimine

Arvustused

4.8

Keskmine 5 hinnangust.

Logi sisse arvustuse jätmiseks.

Linda Petersen

Apr 19, 2026

Compared a few options

Evaluated this against two competitors. Where it wins: rEST API for easy integration and handles dynamic and JavaScript-heavy pages. On balance the feature set — especially structured JSON output — justifies the 5 stars for our use case.

Ethan Brooks

Apr 6, 2026

Solid for our team

We rolled this out across the team last quarter and scales without maintaining scraping infrastructure. Scalable cloud-based scraping fits neatly into how we already work, and support for dynamic, rendered websites removed a step we used to do by hand. Accuracy depends on prompt clarity and site complexity, which is the main caveat, but it has held up under daily use.

Ingrid Bauer

Mar 22, 2026

Solid for our team

We rolled this out across the team last quarter and natural language prompts replace custom scraper code. Support for dynamic, rendered websites fits neatly into how we already work, and automatic handling of pagination and navigation removed a step we used to do by hand. but it has held up under daily use.

Fatima Zahra

Mar 17, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is support for dynamic, rendered websites — handled better than most — and outputs clean, structured JSON data. Worth the time if this is your use case.

Rina Desai

Jun 7, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on natural language data extraction, and scales without maintaining scraping infrastructure caught me off guard. still, I'd recommend giving it a real trial.

Küsimused

How fast is the ScrapeGraphAI API?

Most requests complete in 2-10 seconds depending on page complexity and the amount of data extracted. Frequently requested URLs are cached, so repeat calls come back almost instantly.

Asked by Katarzyna Zielinska · Jun 4, 2026

Can ScrapeGraphAI scrape JavaScript-rendered pages and SPAs?

Yes. ScrapeGraphAI handles JavaScript-heavy pages, single-page applications, and dynamically loaded content out of the box. No need to manage headless browsers yourself.

Asked by Hannah Goldberg · May 14, 2026

Is ScrapeGraphAI free to use?

Yes. The free plan includes 500 API credits, enough to test the API and build a proof of concept. Paid plans start at $20/month with 10,000 credits and scale up from there.

Asked by Ola Eriksen · May 7, 2026

What data formats does the web scraping API support?

All responses come back as structured JSON matching your prompt. You can also provide a JSON schema to enforce exact output shapes, perfect for feeding data directly into your pipeline or database.

Asked by Vikram Rao · Apr 9, 2026

Do I need to write CSS selectors or XPath to scrape websites?

No. ScrapeGraphAI uses large language models to understand page content semantically. You describe what you want in plain English. No selectors, no regex, no DOM traversal. The AI figures out where the data lives.

Asked by Miriam Cohen · Feb 27, 2026