{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import copy\n", "import requests\n", "import pprint" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "searchURL = 'https://www.carousell.sg/api-service/filter/cf/4.0/search/'\n", "searchContent = {\n", " 'bestMatchEnabled': False,\n", " 'canChangeKeyword': False,\n", " 'count': 40, # maximum appears to be 40 results\n", " 'countryCode': 'SG',\n", " 'countryId': '1880251',\n", " #'ccid': None, # filter by category (must specify collection ID under filters too)\n", " 'filters': [\n", " # {'fieldName': 'price', 'rangedFloat': {'end': {'value': None}, 'start': {'value': None}}} # filter by price\n", " # {'fieldName': 'collections', 'idsOrKeywords': {'value': None}} # filter by category (must specify correct ccid too)\n", " ], \n", " 'includeSuggestions': False,\n", " 'locale': 'en',\n", " 'prefill': [], # Seems to be used when adding filters to an existing search (not used by us)\n", " 'query': None,\n", " 'sortParam': { # used to specify: sorting of returned results (currently set to return most recent listings)\n", " 'fieldName': 'time_created', \n", " 'ascending': {\n", " 'value': False\n", " }\n", " }\n", "}\n", "\n", "\n", "# additional search content for various searches\n", "# for filtering by price\n", " # {'rangedFloat': {'end': {'value': 'max'}, 'start': {'value': 'min'}}, 'fieldName': 'price'}\n", "# for filtering by category\n", " # ccid: (2196 = Desktops)\n", " # filters\n", " # {'fieldName': 'collections', 'idsOrKeywords': {'value': '1794'}} - for Desktops\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def query(keyword = None, category = None, minPrice = None, maxPrice = None):\n", " # construct POST content\n", " content = copy.deepcopy(searchContent)\n", " if keyword != None:\n", " print('Keyword: ' + keyword)\n", " content['query'] = keyword\n", " if category != None:\n", " print('Category: ' + category)\n", " if minPrice != None or maxPrice != None:\n", " content['filters'].append({'fieldName': 'price', 'rangedFloat': {}})\n", " if minPrice != None:\n", " minPriceStr = str(minPrice)\n", " print('Minimum price: ' + minPriceStr)\n", " content['filters'][0]['rangedFloat']['start'] = {'value': minPriceStr}\n", " if maxPrice != None:\n", " maxPriceStr = str(maxPrice)\n", " print('Maximum price: ' + maxPriceStr)\n", " content['filters'][0]['rangedFloat']['end'] = {'value': maxPriceStr}\n", " \n", " pprint.pprint({\"searchURL\":searchURL})\n", " pprint.pprint(content)\n", " # perform POST search, retrieve JSON response\n", " \n", " \n", "# searchResp = requests.post(url=searchURL, json=content)\n", "# searchRespData = searchResp.json()\n", "# print(searchRespData)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Keyword: gtx1060\n", "Minimum price: 300\n", "Maximum price: 400\n", "{'searchURL': 'https://www.carousell.sg/api-service/filter/cf/4.0/search/'}\n", "{'bestMatchEnabled': False,\n", " 'canChangeKeyword': False,\n", " 'count': 40,\n", " 'countryCode': 'SG',\n", " 'countryId': '1880251',\n", " 'filters': [{'fieldName': 'price',\n", " 'rangedFloat': {'end': {'value': '400'},\n", " 'start': {'value': '300'}}}],\n", " 'includeSuggestions': False,\n", " 'locale': 'en',\n", " 'prefill': [],\n", " 'query': 'gtx1060',\n", " 'sortParam': {'ascending': {'value': False}, 'fieldName': 'time_created'}}\n" ] } ], "source": [ "query(keyword=\"gtx1060\", minPrice=300, maxPrice=400)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.9" }, "metadata": { "interpreter": { "hash": "22f70f503a14852dda6f3675b02ae61e38835edc56b87f63457d6e30f459ac44" } } }, "nbformat": 4, "nbformat_minor": 2 }