学妹刚毕业那天，我连夜用Python采集了上万份岗位数据，只为给她找一份好工作

# 模拟浏览器
headers = {
    'Cookie': '__uuid=1697715537830.29; __tlog=1697715537842.14%7C00000000%7C00000000%7Cs_00_t00%7Cs_00_t00; XSRF-TOKEN=2Uk6ks7eQzClntAW4e3-rg; __gc_id=b3d87325dfce4ed2a845c293e7719666; _ga=GA1.1.511850321.1697715541; acw_tc=2760828916977155414545948ecf12c457b2d8550e00549caffbda5e0ffef1; Hm_lvt_a2647413544f5a04f00da7eee0d5e200=1697715542; __session_seq=3; __uv_seq=3; Hm_lpvt_a2647413544f5a04f00da7eee0d5e200=1697715546; __tlg_event_seq=52; _ga_54YTJKWN86=GS1.1.1697715541.1.1.1697717226.0.0.0',
    'Host': 'api-c.liepin.com',
    'Origin': 'https://www.liepin.com',
    'Referer': 'https://www.liepin.com/',
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/118.0.0.0 Safari/537.36',
    'X-Client-Type': 'web',
    'X-Fscp-Bi-Stat': '{"location": "https://www.liepin.com/zhaopin/?inputFrom=www_index&workYearCode=0&key=python&scene=input&ckId=z66s3wh10u4fpsartgqu6hpk0uadh1kb&dq="}',
    'X-Fscp-Fe-Version': '',
    'X-Fscp-Std-Info': '{"client_id": "40108"}',
    'X-Fscp-Trace-Id': '8a1776f0-6366-46c1-88e6-8439dd8e7f2b',
    'X-Fscp-Version': '1.1',
    'X-Requested-With': 'XMLHttpRequest',
    'X-XSRF-TOKEN': '2Uk6ks7eQzClntAW4e3-rg',
}
for page in range(1, 6):
    # 请求链接
    url = 'https://api-c.liepin.com/api/com.liepin.searchfront4c.pc-search-job'
    # 读取js代码文件
    f = open('猎聘.js', mode='r', encoding='utf-8').read()
    # 编译JS代码文件
    js_code = execjs.compile(f)
    # 调用JS函数获取ckId值
    ckId = js_code.call('r', 32)
    print(ckId)
    # 请求参数
    data = {
        "data":
            {
                "mainSearchPcConditionForm":
                    {
                        "city": "410",
                        "dq": "410",
                        "pubTime": "",
                        "currentPage": page,
                        "pageSize": 40,
                        "key": "python",
                        "suggestTag": "",
                        "workYearCode": "0",
                        "compId": "",
                        "compName": "",
                        "compTag": "",
                        "industry": "",
                        "salary": "",
                        "jobKind": "",
                        "compScale": "",
                        "compKind": "",
                        "compStage": "",
                        "eduLevel": ""
                    },
                "passThroughForm":
                    {
                        "ckId": ckId,
                        "fkId": "yng225lwgtfiy60pn8auwftcpe0c304b",
                        "scene": "page",
                        "sfrom": "search_job_pc",
                        "skId": "yng225lwgtfiy60pn8auwftcpe0c304b",
                    }
            }
    }
    # 发送请求
    response = requests.post(url=url, json=data, headers=headers)

json_data = response.json()

    job_list = json_data['data']['data']['jobCardList']
    # for循环遍历
    for job in job_list:
        # 提取城市信息 1. 上海 2. 上海-浦东新区
        city_info = job['job']['dq'].split('-')  # --> ['上海'] / ['上海', '浦东新区']
        if len(city_info) == 2:
            # 有两个元素说明含有区域
            city = city_info[0]  # 城市
            area = city_info[1]  # 区域
        else:
            city = city_info[0]  # 城市
            area = '未知'  # 区域
        # 薪资
        salary_info = job['job']['salary'].split('·')
        if len(salary_info) == 2:
            salary = salary_info[0]
            year_money = salary_info[-1]
        else:
            salary = salary_info[0]
            year_money = '12薪'
        # 字典取值提取数据内容
        dit = {
            '职位': job['job']['title'],
            '城市': city,
            '区域': area,
            '薪资': salary,
            '年薪': year_money,
            '经验': job['job']['requireWorkYears'],
            '学历': job['job']['requireEduLevel'],
            '公司': job['comp']['compName'],
            '领域': job['comp']['compIndustry'],
            '规模': job['comp']['compScale'],
            '标签': ','.join(job['job']['labels']),
            '公司详情页': job['comp']['link'],
            '职位详情页': job['job']['link'],
        }
        csv_writer.writerow(dit)
        print(dit)

csv_file = open('data.csv', mode='w', encoding='utf-8', newline='')
csv_writer = csv.DictWriter(csv_file, fieldnames=[
    '职位',
    '城市',
    '区域',
    '薪资',
    '年薪',
    '经验',
    '学历',
    '公司',
    '领域',
    '规模',
    '标签',
    '公司详情页',
    '职位详情页',
])
# 完整代码和视频讲解我都打包好了
# 都放在这个抠裙了 708525271

csv_writer.writeheader()