darazScraper_v1.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "They changed their API functionality. This does not work anymore."
      ],
      "metadata": {
        "id": "onwN1Mrwx5Mp"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "z7psDtEMgJL6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 345
        },
        "outputId": "8daf1b1b-2012-4350-e126-7df75025b26e"
      },
      "outputs": [
        {
          "output_type": "error",
          "ename": "JSONDecodeError",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mJSONDecodeError\u001b[0m                           Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-1-27ec2f9720b1>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     31\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     32\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 33\u001b[0;31m \u001b[0mreview_dict_list\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreview_request\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     34\u001b[0m \u001b[0;31m# review_dict_list\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.7/json/__init__.py\u001b[0m in \u001b[0;36mloads\u001b[0;34m(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001b[0m\n\u001b[1;32m    346\u001b[0m             \u001b[0mparse_int\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mparse_float\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32mand\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    347\u001b[0m             parse_constant is None and object_pairs_hook is None and not kw):\n\u001b[0;32m--> 348\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0m_default_decoder\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdecode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    349\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mcls\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    350\u001b[0m         \u001b[0mcls\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mJSONDecoder\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.7/json/decoder.py\u001b[0m in \u001b[0;36mdecode\u001b[0;34m(self, s, _w)\u001b[0m\n\u001b[1;32m    335\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    336\u001b[0m         \"\"\"\n\u001b[0;32m--> 337\u001b[0;31m         \u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraw_decode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_w\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    338\u001b[0m         \u001b[0mend\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_w\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    339\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mend\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/lib/python3.7/json/decoder.py\u001b[0m in \u001b[0;36mraw_decode\u001b[0;34m(self, s, idx)\u001b[0m\n\u001b[1;32m    353\u001b[0m             \u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mscan_once\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0midx\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    354\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mStopIteration\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 355\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mJSONDecodeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Expecting value\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    356\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mend\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mJSONDecodeError\u001b[0m: Expecting value: line 1 column 1 (char 0)"
          ]
        }
      ],
      "source": [
        "import requests\n",
        "import re\n",
        "import json\n",
        "\n",
        " # customize the header dictionary for your need\n",
        "\n",
        "headers = {\n",
        "        'authority': 'www.daraz.com.bd',\n",
        "        'pragma': 'no-cache',\n",
        "        'cache-control': 'no-cache',\n",
        "        'dnt': '1',\n",
        "        'upgrade-insecure-requests': '1',\n",
        "        'user-agent': 'Mozilla/5.0 (X11; CrOS x86_64 8172.45.0) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/51.0.2704.64 Safari/537.36',\n",
        "        'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',\n",
        "        'sec-fetch-site': 'none',\n",
        "        'sec-fetch-mode': 'navigate',\n",
        "        'sec-fetch-dest': 'document',\n",
        "        'accept-language': 'en-GB,en-US;q=0.9,en;q=0.8',\n",
        "    }\n",
        "\n",
        "# change the item_id, page_no and page_size as per the product\n",
        "# this example will parse reviews of this product https://www.daraz.com.bd/products/mens-stylish-slide-slipper-sandal-i141964811-s1103036896.html\n",
        "\n",
        "\n",
        "item_id = '141964811'\n",
        "page_no = 1\n",
        "page_size = 300\n",
        "\n",
        "review_url = f'https://my.daraz.com.bd/pdp/review/getReviewList?itemId={item_id}&pageSize={page_size}&filter=0&sort=0&pageNo={page_no}'\n",
        "review_request = requests.get(review_url, headers=headers)\n",
        "\n",
        "\n",
        "review_dict_list = json.loads(review_request.text)\n",
        "# review_dict_list"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Qv8LYz7YgkX4"
      },
      "outputs": [],
      "source": [
        "rv = []\n",
        "\n",
        "for review in review_dict_list['model']['items']:\n",
        "  # print(review[\"reviewContent\"])\n",
        "  rv.append(review[\"reviewContent\"])\n",
        "    # print(review)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "rv"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ivwEXLYPuWw7",
        "outputId": "555b01dd-89dd-471f-8bbc-ea1caee751c6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['খারাপ নয় তবে দাম মোতাবেক ঠিক আছে 😇\\nএর আগেও আপনাদের দোকান থেকে আরো একজোড়া এইরকম জুতো নিয়েছিলাম।সেটা এটার চেয়ে ভালো ছিল।তবে এটাও খারাপ নয়। তবে সমস্যা নেই। চলবে 🥰😇\\nধন্যবাদ দারাজ ও সেলার ভাইকে 💓🥰😇',\n",
              " 'জুতা হাতে পেয়ে ভালো লেগেছিল,দুই দিন ব্যবহারে পেরেক পায়ে লাগে এবং দুই পাশে ফেটে গেছে 🥵',\n",
              " 'পন্য যেরকম চেয়েছি সেরকমি পেয়েছি সাইজ ঠিক আছে সেলার ভাল ছিল দারাজ এবং সেলারকে ধন্যবাদ',\n",
              " 'জুতা অনেক ভালো পেকেজিং ঔ ভালো ৩ দিনের মধ্যে পেলাম সবাই নিতে পারেন👍👍👍👍',\n",
              " 'price hisabe kom dam a er theke valo jinish hoi na. ekn dekha jaak koto din jai. jutar joint gula dekhe mone hosse টেকশই। onk sundor o dekte juta ta. so apnara nite paren. ',\n",
              " 'এক কথায় অসাধারণ ( Awesome )💟।\\nThanks Daraz Bangladesh limited & all of them with Daraz....']"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import requests\n",
        "import re\n",
        "import json\n",
        "import pandas as pd"
      ],
      "metadata": {
        "id": "Et6Jklw0zAsF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.DataFrame(rv, columns=[\"colummn\"])\n",
        "df.dropna()\n",
        "df.to_csv('file.csv', index=False)"
      ],
      "metadata": {
        "id": "QtdYkTxAy7ud"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "id": "G3HB4BpVzCzt",
        "outputId": "1ebe8213-79d8-468b-adb1-efeeb9ebbeb0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                             colummn\n",
              "0  খারাপ নয় তবে দাম মোতাবেক ঠিক আছে 😇\\nএর আগেও আপ...\n",
              "1  জুতা হাতে পেয়ে ভালো লেগেছিল,দুই দিন ব্যবহারে প...\n",
              "2  পন্য যেরকম চেয়েছি সেরকমি পেয়েছি সাইজ ঠিক আছে স...\n",
              "3  জুতা অনেক ভালো পেকেজিং ঔ ভালো ৩ দিনের মধ্যে পে...\n",
              "4  price hisabe kom dam a er theke valo jinish ho...\n",
              "5  এক কথায় অসাধারণ ( Awesome )💟।\\nThanks Daraz Ba..."
            ],
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              "      <th>colummn</th>\n",
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              "      <th>0</th>\n",
              "      <td>খারাপ নয় তবে দাম মোতাবেক ঠিক আছে 😇\\nএর আগেও আপ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>জুতা হাতে পেয়ে ভালো লেগেছিল,দুই দিন ব্যবহারে প...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>পন্য যেরকম চেয়েছি সেরকমি পেয়েছি সাইজ ঠিক আছে স...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>জুতা অনেক ভালো পেকেজিং ঔ ভালো ৩ দিনের মধ্যে পে...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>price hisabe kom dam a er theke valo jinish ho...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>এক কথায় অসাধারণ ( Awesome )💟।\\nThanks Daraz Ba...</td>\n",
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              "        const buttonEl =\n",
              "          document.querySelector('#df-a7c58bcc-1383-4b32-834a-e12158e8c674 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-a7c58bcc-1383-4b32-834a-e12158e8c674');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}