{"id":923141,"date":"2024-05-27T13:37:33","date_gmt":"2024-05-27T13:37:33","guid":{"rendered":"https:\/\/proxyelite.info\/?p=923141"},"modified":"2025-06-04T03:04:30","modified_gmt":"2025-06-04T03:04:30","slug":"scrapegraphai-revolutionizing-web-scraping","status":"publish","type":"post","link":"https:\/\/proxyelite.info\/vi\/scrapegraphai-revolutionizing-web-scraping\/","title":{"rendered":"ScrapeGraphAI: C\u00e1ch m\u1ea1ng h\u00f3a vi\u1ec7c qu\u00e9t web?"},"content":{"rendered":"

Qu\u00e9t web (proxy cho Web Scraping<\/a>) \u0111\u00e3 ph\u00e1t tri\u1ec3n \u0111\u00e1ng k\u1ec3 v\u1edbi s\u1ef1 ra \u0111\u1eddi c\u1ee7a c\u00e1c c\u00f4ng c\u1ee5 v\u00e0 th\u01b0 vi\u1ec7n m\u1ea1nh m\u1ebd. M\u1ed9t trong nh\u1eefng c\u00f4ng c\u1ee5 m\u1edbi nh\u1ea5t v\u00e0 c\u00f3 t\u00e1c \u0111\u1ed9ng nh\u1ea5t trong l\u0129nh v\u1ef1c n\u00e0y l\u00e0 ScrapeGraphAI. Nh\u01b0ng ScrapeGraphAI ch\u00ednh x\u00e1c l\u00e0 g\u00ec v\u00e0 n\u00f3 c\u00f3 th\u1ec3 c\u00e1ch m\u1ea1ng h\u00f3a c\u00e1c t\u00e1c v\u1ee5 thu th\u1eadp d\u1eef li\u1ec7u web c\u1ee7a b\u1ea1n nh\u01b0 th\u1ebf n\u00e0o? H\u00e3y c\u00f9ng t\u00ecm hi\u1ec3u chi ti\u1ebft, kh\u00e1m ph\u00e1 c\u00e1c t\u00ednh n\u0103ng, kh\u1ea3 n\u0103ng c\u1ee7a n\u00f3 v\u00e0 c\u00e1ch b\u1ea1n c\u00f3 th\u1ec3 t\u1eadn d\u1ee5ng c\u00f4ng c\u1ee5 n\u00e0y cho nhu c\u1ea7u tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u c\u1ee7a m\u00ecnh.<\/p>\n\n\n\n

ScrapeGraphAI l\u00e0 g\u00ec?<\/h2>\n\n\n\n

ScrapeGraphAI l\u00e0 m\u1ed9t th\u01b0 vi\u1ec7n qu\u00e9t web s\u00e1ng t\u1ea1o \u0111\u00e3 nhanh ch\u00f3ng tr\u1edf n\u00ean ph\u1ed5 bi\u1ebfn \u0111\u1ed1i v\u1edbi c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n v\u00e0 nh\u1eefng ng\u01b0\u1eddi \u0111am m\u00ea d\u1eef li\u1ec7u. Ch\u1ec9 trong v\u00f2ng v\u00e0i tu\u1ea7n k\u1ec3 t\u1eeb khi ph\u00e1t h\u00e0nh, n\u00f3 \u0111\u00e3 thu \u0111\u01b0\u1ee3c h\u01a1n 8.000 sao tr\u00ean GitHub, b\u00e1o hi\u1ec7u s\u1ef1 h\u1eefu \u00edch v\u00e0 hi\u1ec7u qu\u1ea3 c\u1ee7a n\u00f3. Th\u01b0 vi\u1ec7n \u0111\u01a1n gi\u1ea3n h\u00f3a qu\u00e1 tr\u00ecnh thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u ngu\u1ed3n kh\u00e1c nhau, bao g\u1ed3m HTML, XML v\u00e0 JSON, khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh m\u1ed9t c\u00f4ng c\u1ee5 linh ho\u1ea1t cho m\u1ecdi t\u00e1c v\u1ee5 tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u.<\/p>\n\n\n\n

T\u1ea1i sao n\u00ean s\u1eed d\u1ee5ng ScrapeGraphAI?<\/h2>\n\n\n\n

N\u1ebfu b\u1ea1n th\u01b0\u1eddng xuy\u00ean thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb internet, ScrapeGraphAI c\u00f3 th\u1ec3 h\u1ee3p l\u00fd h\u00f3a \u0111\u00e1ng k\u1ec3 quy tr\u00ecnh l\u00e0m vi\u1ec7c c\u1ee7a b\u1ea1n. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 l\u00fd do thuy\u1ebft ph\u1ee5c \u0111\u1ec3 xem x\u00e9t s\u1eed d\u1ee5ng th\u01b0 vi\u1ec7n n\u00e0y:<\/p>\n\n\n\n

    \n
  1. D\u1ec5 s\u1eed d\u1ee5ng<\/strong>: ScrapeGraphAI cung c\u1ea5p m\u1ed9t giao di\u1ec7n \u0111\u01a1n gi\u1ea3n \u0111\u1ec3 thi\u1ebft l\u1eadp v\u00e0 th\u1ef1c hi\u1ec7n c\u00e1c t\u00e1c v\u1ee5 qu\u00e9t web. Thi\u1ebft k\u1ebf th\u00e2n thi\u1ec7n v\u1edbi ng\u01b0\u1eddi d\u00f9ng c\u1ee7a n\u00f3 gi\u00fap n\u00f3 c\u00f3 th\u1ec3 truy c\u1eadp \u0111\u01b0\u1ee3c ngay c\u1ea3 \u0111\u1ed1i v\u1edbi nh\u1eefng ng\u01b0\u1eddi c\u00f3 kinh nghi\u1ec7m vi\u1ebft m\u00e3 h\u1ea1n ch\u1ebf.<\/li>\n\n\n\n
  2. T\u00ednh linh ho\u1ea1t<\/strong>: Cho d\u00f9 b\u1ea1n c\u1ea7n c\u1ea1o d\u1eef li\u1ec7u t\u1eeb c\u00e1c trang web, t\u1ec7p XML hay ngu\u1ed3n JSON, ScrapeGraphAI \u0111\u1ec1u c\u00f3 th\u1ec3 x\u1eed l\u00fd t\u1ea5t c\u1ea3. T\u00ednh linh ho\u1ea1t n\u00e0y l\u00e0m cho n\u00f3 tr\u1edf th\u00e0nh gi\u1ea3i ph\u00e1p to\u00e0n di\u1ec7n cho c\u00e1c nhu c\u1ea7u tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u kh\u00e1c nhau.<\/li>\n\n\n\n
  3. T\u00edch h\u1ee3p v\u1edbi c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn (LLM)<\/strong>: Th\u01b0 vi\u1ec7n h\u1ed7 tr\u1ee3 t\u00edch h\u1ee3p v\u1edbi c\u00e1c LLM ph\u1ed5 bi\u1ebfn nh\u01b0 ChatGPT c\u1ee7a OpenAI, cho ph\u00e9p kh\u1ea3 n\u0103ng x\u1eed l\u00fd d\u1eef li\u1ec7u n\u00e2ng cao.<\/li>\n\n\n\n
  4. H\u1ed7 tr\u1ee3 c\u1ed9ng \u0111\u1ed3ng v\u00e0 t\u00e0i li\u1ec7u<\/strong>: V\u1edbi c\u1ed9ng \u0111\u1ed3ng ng\u01b0\u1eddi d\u00f9ng v\u00e0 c\u1ed9ng t\u00e1c vi\u00ean ng\u00e0y c\u00e0ng t\u0103ng, ScrapeGraphAI cung c\u1ea5p t\u00e0i li\u1ec7u v\u00e0 v\u00ed d\u1ee5 phong ph\u00fa \u0111\u1ec3 gi\u00fap b\u1ea1n b\u1eaft \u0111\u1ea7u v\u00e0 kh\u1eafc ph\u1ee5c s\u1ef1 c\u1ed1.<\/li>\n<\/ol>\n\n\n\n

    B\u1eaft \u0111\u1ea7u v\u1edbi ScrapeGraphAI<\/h2>\n\n\n\n

    H\u00e3y xem qua m\u1ed9t v\u00ed d\u1ee5 c\u01a1 b\u1ea3n \u0111\u1ec3 xem c\u00e1ch b\u1ea1n c\u00f3 th\u1ec3 b\u1eaft \u0111\u1ea7u s\u1eed d\u1ee5ng ScrapeGraphAI cho c\u00e1c d\u1ef1 \u00e1n qu\u00e9t web c\u1ee7a m\u00ecnh.<\/p>\n\n\n\n

    Thi\u1ebft l\u1eadp m\u00f4i tr\u01b0\u1eddng c\u1ee7a b\u1ea1n<\/strong> <\/p>\n\n\n\n

    \u0110\u1ea7u ti\u00ean, t\u1ea1o m\u1ed9t m\u00f4i tr\u01b0\u1eddng \u1ea3o \u0111\u1ec3 qu\u1ea3n l\u00fd c\u00e1c ph\u1ea7n ph\u1ee5 thu\u1ed9c c\u1ee7a d\u1ef1 \u00e1n c\u1ee7a b\u1ea1n. B\u01b0\u1edbc n\u00e0y \u0111\u1ea3m b\u1ea3o r\u1eb1ng d\u1ef1 \u00e1n c\u1ee7a b\u1ea1n v\u1eabn t\u00e1ch bi\u1ec7t v\u00e0 tr\u00e1nh xung \u0111\u1ed9t v\u1edbi c\u00e1c d\u1ef1 \u00e1n Python kh\u00e1c.<\/p>\n\n\n\n

    python -m venv .venv\nsource .venv\/bin\/activate  # On Windows, use .venv\\Scripts\\activate<\/code><\/pre>\n\n\n\n
    C\u00e0i \u0111\u1eb7t ScrapeGraphAI v\u00e0 c\u00e1c ph\u1ea7n ph\u1ee5 thu\u1ed9c<\/strong><\/p>\n\n\n\n
    Ti\u1ebfp theo, c\u00e0i \u0111\u1eb7t ScrapeGraphAI c\u00f9ng v\u1edbi c\u00e1c th\u01b0 vi\u1ec7n c\u1ea7n thi\u1ebft kh\u00e1c nh\u01b0 pandas v\u00e0 dotenv<\/p>\n\n\n\n
    pip install scrapegraphai pandas python-dotenv<\/code><\/pre>\n\n\n\n
    T\u1ea1o t\u1eadp l\u1ec7nh Scraping c\u01a1 b\u1ea3n<\/strong><\/p>\n\n\n\n
    B\u00e2y gi\u1edd, h\u00e3y t\u1ea1o m\u1ed9t t\u1eadp l\u1ec7nh Python \u0111\u01a1n gi\u1ea3n \u0111\u1ec3 l\u1ea5y d\u1eef li\u1ec7u t\u1eeb m\u1ed9t trang web. Trong v\u00ed d\u1ee5 n\u00e0y, ch\u00fang t\u00f4i s\u1ebd l\u1ea5y ti\u00eau \u0111\u1ec1 b\u00e0i vi\u1ebft v\u00e0 t\u00e1c gi\u1ea3 t\u1eeb m\u1ed9t trang web m\u1eabu.<\/p>\n\n\n\n
    import scrapegraphai as sgai\nimport pandas as pd\nimport os\nfrom dotenv import load_dotenv\n\n# Load environment variables\nload_dotenv()\n\n# Initialize ScrapeGraphAI\napi_key = os.getenv(\"OPENAI_API_KEY\")\nscraper = sgai.Scraper(api_key=api_key)\n\n# Define the scraping task\nprompt = \"List me all the articles from example.com with titles and authors.\"\nconfig = {\n    \"source\": \"https:\/\/example.com\",\n    \"fields\": [\"title\", \"author\"]\n}\n\n# Execute the scraping task\nresult = scraper.scrape(prompt, config)\n\n# Convert result to a DataFrame\ndf = pd.DataFrame(result[\"articles\"])\n\n# Save the result to an Excel file\ndf.to_excel(\"articles.xlsx\", index=False)<\/code><\/pre>\n\n\n\n
    Trong k\u1ecbch b\u1ea3n n\u00e0y, ch\u00fang t\u00f4i:<\/p>\n\n\n\n
      \n
    • Nh\u1eadp c\u00e1c th\u01b0 vi\u1ec7n c\u1ea7n thi\u1ebft.<\/li>\n\n\n\n
    • T\u1ea3i kh\u00f3a API OpenAI t\u1eeb t\u1ec7p m\u00f4i tr\u01b0\u1eddng.<\/li>\n\n\n\n
    • Kh\u1edfi t\u1ea1o tr\u00ecnh qu\u00e9t ScrapeGraphAI b\u1eb1ng kh\u00f3a API.<\/li>\n\n\n\n
    • X\u00e1c \u0111\u1ecbnh l\u1eddi nh\u1eafc v\u00e0 c\u1ea5u h\u00ecnh cho t\u00e1c v\u1ee5 thu th\u1eadp d\u1eef li\u1ec7u.<\/li>\n\n\n\n
    • Th\u1ef1c hi\u1ec7n t\u00e1c v\u1ee5 Scrap v\u00e0 l\u01b0u k\u1ebft qu\u1ea3 v\u00e0o file Excel.<\/li>\n<\/ul>\n\n\n\n
      X\u1eed l\u00fd d\u1eef li\u1ec7u JSON<\/strong> <\/p>\n\n\n\n
      ScrapeGraphAI c\u0169ng xu\u1ea5t s\u1eafc trong vi\u1ec7c tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u t\u1eeb c\u00e1c t\u1ec7p JSON. \u0110\u00e2y l\u00e0 v\u00ed d\u1ee5 v\u1ec1 c\u00e1ch b\u1ea1n c\u00f3 th\u1ec3 tr\u00edch xu\u1ea5t th\u00f4ng tin s\u00e1ch t\u1eeb t\u1ec7p JSON.<\/p>\n\n\n\n
      import scrapegraphai as sgai\nimport json\n\n# Initialize ScrapeGraphAI\nscraper = sgai.Scraper(api_key=api_key)\n\n# Define the JSON scraping task\njson_data = \"\"\"\n[\n    {\"title\": \"Book One\", \"author\": \"Author A\", \"genre\": \"Fiction\"},\n    {\"title\": \"Book Two\", \"author\": \"Author B\", \"genre\": \"Non-Fiction\"}\n]\n\"\"\"\nprompt = \"Given the JSON, list all the titles, authors, and genres of the books.\"\n\n# Execute the JSON scraping task\nresult = scraper.scrape_json(prompt, json_data)\n\n# Print the result\nprint(result)<\/code><\/pre>\n\n\n\n
      T\u1eadp l\u1ec7nh n\u00e0y tr\u00ecnh b\u00e0y c\u00e1ch tr\u00edch xu\u1ea5t c\u00e1c tr\u01b0\u1eddng c\u1ee5 th\u1ec3 t\u1eeb chu\u1ed7i JSON b\u1eb1ng ScrapeGraphAI.<\/p>\n\n\n\n
      C\u00e1c t\u00ednh n\u0103ng n\u00e2ng cao v\u00e0 tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng<\/h2>\n\n\n\n
      ScrapeGraphAI \u0111\u01b0\u1ee3c t\u00edch h\u1ee3p nhi\u1ec1u t\u00ednh n\u0103ng n\u00e2ng cao ph\u1ee5c v\u1ee5 cho c\u00e1c t\u00ecnh hu\u1ed1ng thu th\u1eadp d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p h\u01a1n. D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 kh\u1ea3 n\u0103ng b\u1ed5 sung m\u00e0 b\u1ea1n c\u00f3 th\u1ec3 th\u1ea5y h\u1eefu \u00edch:<\/p>\n\n\n\n
        \n
      • L\u1eddi nh\u1eafc v\u00e0 c\u1ea5u h\u00ecnh t\u00f9y ch\u1ec9nh<\/strong>: \u0110i\u1ec1u ch\u1ec9nh c\u00e1c t\u00e1c v\u1ee5 thu th\u1eadp d\u1eef li\u1ec7u c\u1ee7a b\u1ea1n b\u1eb1ng c\u00e1c l\u1eddi nh\u1eafc v\u00e0 c\u1ea5u h\u00ecnh t\u00f9y ch\u1ec9nh \u0111\u1ec3 tr\u00edch xu\u1ea5t ch\u00ednh x\u00e1c d\u1eef li\u1ec7u b\u1ea1n c\u1ea7n.<\/li>\n\n\n\n
      • T\u00edch h\u1ee3p v\u1edbi c\u00e1c c\u00f4ng c\u1ee5 kh\u00e1c<\/strong>: K\u1ebft h\u1ee3p ScrapeGraphAI v\u1edbi c\u00e1c c\u00f4ng c\u1ee5 x\u1eed l\u00fd d\u1eef li\u1ec7u kh\u00e1c nh\u01b0 pandas v\u00e0 NumPy \u0111\u1ec3 th\u1ef1c hi\u1ec7n ph\u00e2n t\u00edch s\u00e2u h\u01a1n v\u1ec1 d\u1eef li\u1ec7u \u0111\u00e3 \u0111\u01b0\u1ee3c thu th\u1eadp.<\/li>\n\n\n\n
      • LLM \u0111\u1ecba ph\u01b0\u01a1ng<\/strong>: S\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn c\u1ee5c b\u1ed9 \u0111\u1ec3 tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u nh\u1eb1m n\u00e2ng cao hi\u1ec7u su\u1ea5t v\u00e0 quy\u1ec1n ri\u00eang t\u01b0.<\/li>\n<\/ul>\n\n\n\n
        V\u00ed d\u1ee5: Qu\u00e9t v\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u t\u1eeb Wired.com<\/h2>\n\n\n\n
        \u0110\u1ec3 minh h\u1ecda s\u1ee9c m\u1ea1nh c\u1ee7a ScrapeGraphAI, h\u00e3y xem x\u00e9t m\u1ed9t v\u00ed d\u1ee5 trong \u0111\u00f3 ch\u00fang t\u00f4i thu th\u1eadp v\u00e0 ph\u00e2n t\u00edch c\u00e1c b\u00e0i vi\u1ebft t\u1eeb Wired.com.<\/p>\n\n\n\n
        Thi\u1ebft l\u1eadp t\u00e1c v\u1ee5 Scraping<\/strong><\/p>\n\n\n\n
        X\u00e1c \u0111\u1ecbnh l\u1eddi nh\u1eafc v\u00e0 c\u1ea5u h\u00ecnh \u0111\u1ec3 x\u00f3a ti\u00eau \u0111\u1ec1 b\u00e0i vi\u1ebft v\u00e0 t\u00e1c gi\u1ea3 kh\u1ecfi Wired.com.<\/p>\n\n\n\n
        prompt = \"List all the articles from Wired.com with titles and authors.\"\nconfig = {\n    \"source\": \"https:\/\/www.wired.com\",\n    \"fields\": [\"title\", \"author\"]\n}<\/code><\/pre>\n\n\n\n
        Th\u1ef1c hi\u1ec7n t\u00e1c v\u1ee5 v\u00e0 l\u01b0u d\u1eef li\u1ec7u<\/strong><\/p>\n\n\n\n
        Ch\u1ea1y t\u1eadp l\u1ec7nh \u0111\u1ec3 c\u1ea1o d\u1eef li\u1ec7u v\u00e0 l\u01b0u n\u00f3 v\u00e0o t\u1ec7p Excel.<\/p>\n\n\n\n
        result = scraper.scrape(prompt, config)\ndf = pd.DataFrame(result[\"articles\"])\ndf.to_excel(\"wired_articles.xlsx\", index=False)<\/code><\/pre>\n\n\n\n
        Ph\u00e2n t\u00edch d\u1eef li\u1ec7u<\/strong><\/p>\n\n\n\n
        Sau khi d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c l\u01b0u, b\u1ea1n c\u00f3 th\u1ec3 s\u1eed d\u1ee5ng g\u1ea5u tr\u00fac \u0111\u1ec3 th\u1ef1c hi\u1ec7n nhi\u1ec1u ph\u00e2n t\u00edch kh\u00e1c nhau, ch\u1eb3ng h\u1ea1n nh\u01b0 \u0111\u1ebfm s\u1ed1 l\u01b0\u1ee3ng b\u00e0i vi\u1ebft c\u1ee7a m\u1ed7i t\u00e1c gi\u1ea3 ho\u1eb7c x\u00e1c \u0111\u1ecbnh xu h\u01b0\u1edbng trong ti\u00eau \u0111\u1ec1 b\u00e0i vi\u1ebft.<\/p>\n\n\n\n
        author_counts = df[\"author\"].value_counts()\nprint(author_counts)<\/code><\/pre>\n\n\n\n
        Ph\u1ea7n k\u1ebft lu\u1eadn<\/h2>\n\n\n\n
        ScrapeGraphAI l\u00e0 m\u1ed9t c\u00f4ng c\u1ee5 m\u1ea1nh m\u1ebd gi\u00fap \u0111\u01a1n gi\u1ea3n h\u00f3a c\u00e1c t\u00e1c v\u1ee5 tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u v\u00e0 qu\u00e9t web. T\u00ednh d\u1ec5 s\u1eed d\u1ee5ng, linh ho\u1ea1t v\u00e0 t\u00edch h\u1ee3p v\u1edbi c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn khi\u1ebfn n\u00f3 tr\u1edf th\u00e0nh t\u00e0i s\u1ea3n v\u00f4 gi\u00e1 cho c\u00e1c nh\u00e0 ph\u00e1t tri\u1ec3n v\u00e0 nh\u1eefng ng\u01b0\u1eddi \u0111am m\u00ea d\u1eef li\u1ec7u. Cho d\u00f9 b\u1ea1n \u0111ang thu th\u1eadp d\u1eef li\u1ec7u t\u1eeb c\u00e1c trang web, t\u1ec7p XML hay ngu\u1ed3n JSON, ScrapeGraphAI \u0111\u1ec1u c\u00f3 th\u1ec3 h\u1ed7 tr\u1ee3 b\u1ea1n. B\u1eb1ng c\u00e1ch l\u00e0m theo c\u00e1c v\u00ed d\u1ee5 v\u00e0 ph\u01b0\u01a1ng ph\u00e1p hay nh\u1ea5t \u0111\u01b0\u1ee3c n\u00eau trong b\u00e0i vi\u1ebft n\u00e0y, b\u1ea1n c\u00f3 th\u1ec3 khai th\u00e1c to\u00e0n b\u1ed9 ti\u1ec1m n\u0103ng c\u1ee7a ScrapeGraphAI \u0111\u1ec3 h\u1ee3p l\u00fd h\u00f3a quy tr\u00ecnh tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u c\u1ee7a m\u00ecnh.<\/p>\n\n\n\n
        B\u1ea3ng: So s\u00e1nh c\u00e1c c\u00f4ng c\u1ee5 qu\u00e9t web<\/h3>\n\n\n\n
        T\u00ednh n\u0103ng<\/th>ScrapeGraphAI<\/th>S\u00fap \u0111\u1eb9p<\/th>v\u1ee5n v\u1eb7t<\/th><\/tr><\/thead>
        D\u1ec5 s\u1eed d\u1ee5ng<\/td>Cao<\/td>Trung b\u00ecnh<\/td>Trung b\u00ecnh<\/td><\/tr>
        T\u00ednh linh ho\u1ea1t<\/td>Cao<\/td>Trung b\u00ecnh<\/td>Cao<\/td><\/tr>
        T\u00edch h\u1ee3p v\u1edbi LLM<\/td>\u0110\u00fang<\/td>KH\u00d4NG<\/td>KH\u00d4NG<\/td><\/tr>
        S\u1ef1 \u0111\u00f3ng g\u00f3p cho c\u1ed9ng \u0111\u1ed3ng<\/td>Cao<\/td>Cao<\/td>Cao<\/td><\/tr>
        T\u00e0i li\u1ec7u<\/td>R\u1ed9ng r\u00e3i<\/td>T\u1ed1t<\/td>T\u1ed1t<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
        B\u1ea3ng n\u00e0y so s\u00e1nh ScrapeGraphAI v\u1edbi c\u00e1c c\u00f4ng c\u1ee5 qu\u00e9t web ph\u1ed5 bi\u1ebfn kh\u00e1c, n\u00eau b\u1eadt \u0111i\u1ec3m m\u1ea1nh c\u1ee7a n\u00f3 v\u1ec1 t\u00ednh d\u1ec5 s\u1eed d\u1ee5ng, t\u00ednh linh ho\u1ea1t v\u00e0 kh\u1ea3 n\u0103ng t\u00edch h\u1ee3p v\u1edbi c\u00e1c m\u00f4 h\u00ecnh ng\u00f4n ng\u1eef l\u1edbn.<\/p>\n\n\n\n
        B\u1eb1ng c\u00e1ch \u00e1p d\u1ee5ng ScrapeGraphAI, b\u1ea1n c\u00f3 th\u1ec3 n\u00e2ng cao kh\u1ea3 n\u0103ng qu\u00e9t web v\u00e0 h\u1ee3p l\u00fd h\u00f3a quy tr\u00ecnh tr\u00edch xu\u1ea5t d\u1eef li\u1ec7u, gi\u00fap thu th\u1eadp v\u00e0 ph\u00e2n t\u00edch th\u00f4ng tin b\u1ea1n c\u1ea7n d\u1ec5 d\u00e0ng h\u01a1n.<\/p>","protected":false},"excerpt":{"rendered":"
        Web scraping (proxy for Web Scraping) has evolved significantly with the advent of powerful tools and libraries. One of the latest and most impactful tools in this space is ScrapeGraphAI. But what exactly is ScrapeGraphAI, and how can it revolutionize your web scraping tasks? Let’s dive into the details, exploring its features, capabilities, and how […]<\/p>\n","protected":false},"author":1,"featured_media":923140,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-923141","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles"],"acf":[],"_links":{"self":[{"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/posts\/923141","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/comments?post=923141"}],"version-history":[{"count":1,"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/posts\/923141\/revisions"}],"predecessor-version":[{"id":926431,"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/posts\/923141\/revisions\/926431"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/media\/923140"}],"wp:attachment":[{"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/media?parent=923141"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/categories?post=923141"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/proxyelite.info\/vi\/wp-json\/wp\/v2\/tags?post=923141"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}