XCrawl's Semantic Scholar Scraper API delivers a robust scholar api for developers, solving rate limits, parsing challenges, and IP blocking issues common with Semantic Scholar data access. Perfect for scholar python integrations, it extracts papers, authors, citations, and abstracts into clean JSON, empowering research automation at scale.
Construct massive academic datasets for AI training with our scholar api endpoints. Analyze citation networks and research impact using scraped engagement metrics. Automate literature reviews by pulling search results, author profiles, and paper details via scholar python scripts for efficient backend workflows.
Bypass official limits with real-time JSON extraction of Semantic Scholar papers, authors, and citations for instant dataset building.
Async-ready endpoints integrate effortlessly into scholar python codebases, supporting high-volume scraping with minimal setup.
Receive parsed JSON with abstracts, metrics, and profiles, ready for ML models or databases without manual cleaning.
Handle thousands of requests daily via distributed proxies, ensuring reliable access to evolving Semantic Scholar content.
Used by teams across analytics, research, monitoring, and growth workflows.
Access the most commonly used Semantic Scholar Scraper API data types — fully structured, consistently formatted, and production-ready.
Scrape keyword-based search results for top academic papers and rankings.
Extract author bios, affiliations, and publication histories via scholar python endpoints.
Fetch incoming citations, influential cites, and reference counts for papers.
Pull full abstracts, TL;DR summaries, and key fields from paper pages.
Get similar and recommended papers with relevance scores for discovery.
Scrape views, reads, and other interaction metrics for papers and authors.
Integrate the Semantic Scholar Scraper API via simple REST calls in your scholar python or Node.js apps.
Leverage the no-code dashboard for visual Semantic Scholar scraping without developer resources.
Retrieve Semantic Scholar Scraper API posts and author information in seconds with a simple API call.
curl -X POST https://xcrawl.com -H "Authorization: YOU_TOKEN" -H "Content-Type: application/json" -d "{\"geo\":\"US\",\"context\":{\"keyword_list\":[{\"keyword\":\"Apple\"}],\"start_page\":1,\"pages\":1},\"source\":\"amazon_search\"}"
ML-driven proxy selection and rotation using our premium proxy pool from 190 countries.
Unique HTTP headers, JavaScript, and browser fingerprints ensure resilience to dynamic content.
Automatic retries and CAPTCHA bypassing for uninterrupted data retrieval.
Extract data from several pages at the same time with up to 10K URLs per batch.
Receive data via cloud storage such as SFTP or AWSS3, or retrieve results through APIs.
Set your preferred frequency for automated, custom-timed data collection, with results delivered directly to your cloud storage.
Eliminate proxy maintenance and infrastructure hassle. No need to build crawler systems.
Easy to integrate with support for customization.
Receive professional support in case of anyquestions or issues.
TransparentTransparent web scraping pricing with flexible API subscription plans. Compare data extraction costs, purchase crawler access, and start free — then scale as you grow.
... High-volume plans for teams that need more power and dedicated support.
Enjoy higher rate limits, more concurrent browsers, and priority support.
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Learn MoreThis scholar api transformed my workflow—fast, reliable datasets for Python analysis without hassle.
Scholar python integration was plug-and-play; scraped thousands of papers accurately.
Perfect for citation tracking. The JSON output quality rivals official scholar api.
Built NLP models on scraped abstracts effortlessly with their scholar python tools.
No more parsing headaches—clean engagement metrics via scholar api endpoints.
Scales beautifully for large datasets; scholar python support is top-notch.
Quick setup and accurate paper search results powered our lit review tool.
Exceptional dataset quality for citation analysis in my scholar python pipelines.
This scholar api transformed my workflow—fast, reliable datasets for Python analysis without hassle.
Scholar python integration was plug-and-play; scraped thousands of papers accurately.
Perfect for citation tracking. The JSON output quality rivals official scholar api.
Built NLP models on scraped abstracts effortlessly with their scholar python tools.
No more parsing headaches—clean engagement metrics via scholar api endpoints.
Scales beautifully for large datasets; scholar python support is top-notch.
Quick setup and accurate paper search results powered our lit review tool.
This scholar api transformed my workflow—fast, reliable datasets for Python analysis without hassle.
Scholar python integration was plug-and-play; scraped thousands of papers accurately.
Perfect for citation tracking. The JSON output quality rivals official scholar api.
Built NLP models on scraped abstracts effortlessly with their scholar python tools.
No more parsing headaches—clean engagement metrics via scholar api endpoints.
Scales beautifully for large datasets; scholar python support is top-notch.
Quick setup and accurate paper search results powered our lit review tool.
Exceptional dataset quality for citation analysis in my scholar python pipelines.
This scholar api transformed my workflow—fast, reliable datasets for Python analysis without hassle.
Scholar python integration was plug-and-play; scraped thousands of papers accurately.
Perfect for citation tracking. The JSON output quality rivals official scholar api.
Built NLP models on scraped abstracts effortlessly with their scholar python tools.
No more parsing headaches—clean engagement metrics via scholar api endpoints.
Scales beautifully for large datasets; scholar python support is top-notch.
Quick setup and accurate paper search results powered our lit review tool.
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