Facebook 公共页面数据

Facebook 数据集结构化数据交付服务

获取 Facebook 公共主页、帖子和互动指标等结构化数据,用于合规的市场研究、品牌分析、内容趋势研究与竞争环境洞察。支持字段筛选、时间范围选择和周期更新。

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Gologin
ClonBrowser
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HubStudio

Facebook 数据集与公开页面数据

获取经过整理的 Facebook 公共主页、帖子与互动数据,可按主页、地区、语言和时间范围筛选,并根据项目需求定期更新。

  • 覆盖多种 Facebook 公共主页类型
  • 包含帖子、互动指标与主页元数据
  • 支持按日或按周更新

Facebook 帖子数据集

包含帖子 ID、公开正文、发布日期、页面链接、点赞、评论、分享及图片链接等字段。

45.2K+4.8K+

Facebook 评论数据集

包含评论 ID、公开评论文本、作者名称、用户 ID、发布时间及点赞数量等字段。

30.1K+3.2K+

Facebook 公共主页数据集

包含公共主页名称、简介、公开联系方式、网站及地址等可用字段。

10.8K+950+

Facebook 数据集样本与字段说明

查看 Facebook 数据字段、数据类型和脱敏示例,确认 Schema 与项目需求后再申请完整样本。

开发者友好

几行代码完成集成

RESTful API、SDK、HTTP/SOCKS5 协议,支持所有主流语言

完整 SDK

Python / Node.js / Go / C# / Java / PHP

RESTful API

标准 HTTP 接口,开箱即用

丰富示例

100+ 代码示例与最佳实践

example.py
import requests

url = "http://user.ipweb.cc/prod-api/v2/static-residential/countIdleIP"
payload = {
    "country_code": "US",
    "city_name": "New York",
    "business": "YouTube",
    "line_type": 1,
}
headers = {"token": "your-access-token"}

response = requests.post(url, json=payload, headers=headers, timeout=10)
print(response.json())
获取数据样本

准备使用
Facebook 数据集开展市场与品牌分析?

提交目标公共主页、所需字段与更新频率,获取数据样本、字段字典和方案说明。

热门行业与平台数据集

探索社交媒体、电商、招聘、企业信息和市场研究等不同类型的结构化数据集。

Facebook 数据集

公共主页、帖子与互动指标数据,适用于品牌、内容和市场趋势分析。

Instagram 数据集

商业账号公开内容与互动数据,支持社交媒体内容和营销表现研究。

LinkedIn 数据集

企业主页与职业公开信息,适用于 B2B 市场及人才趋势研究。

电商商品数据集

汇集商品、价格、库存与评价等公开信息,支持市场和品类分析。

招聘职位数据集

包含职位名称、技能要求与地点等字段,用于招聘和劳动力市场研究。

企业信息数据集

整合公开企业资料与业务字段,支持企业研究和客户数据维护。

广告创意数据集

整理公开广告素材与展示信息,用于创意趋势和市场活动分析。

评论与评分数据集

包含公开评分和评论文本,支持消费者反馈与服务体验研究。

行业新闻数据集

汇集垂直行业公开报道,用于行业动态、舆情和趋势分析。

Excellent

Based on 1088 reviews

Trustpilot

A well-organized web scraping project

The web scraping project had clear steps for sample approval, field mapping, and scheduled updates. We were able to validate the data structure before confirming the final delivery scope.

Priya S., 2 weeks ago

Structured datasets ready for analysis

The field definitions are clear, and the sample structure matches the delivered dataset. Selecting data by region and time range has reduced the preparation work required before analysis.

Andreas K., 3 days ago

Helpful samples and field dictionaries

Reviewing the sample and field dictionary before ordering made it easier to confirm that the dataset suited our project. The delivery format also integrated well with our existing analytics workflow.

Sarah T., 1 week ago

Straightforward Web Crawler API integration

The Web Crawler API documentation includes clear parameter descriptions and practical code examples. We completed the initial integration smoothly, and the structured responses fit our downstream processing workflow.

Marcus L., 5 days ago

Easier web data workflow management

The Web Crawler API lets us submit target URLs and task-specific parameters in a consistent way. Clear task statuses and response formats have made our public web data workflows easier to maintain.

Yuki H., 2 weeks ago

Well-structured SERP API results

The SERP API organizes search results into consistent fields, reducing the need for manual page processing. Location, language, and keyword parameters are also easy to configure for different research projects.

Dmitry P., 4 days ago

Useful for ongoing search result research

We use the SERP API to monitor keyword and public search result changes. Its consistent response format works well with our internal reporting, and the documentation explains the main parameters clearly.

Lena R., 1 week ago

Web Unlocker API simplifies access handling

The Web Unlocker API brings common web access settings into one interface, reducing the amount of custom logic our team needs to maintain. The response details are also helpful when troubleshooting tasks.

James W., 3 weeks ago

A flexible solution for custom data needs

For public data requirements not covered by an existing dataset, the team helped define the fields, scope, and update schedule before delivery. The process was clear from the initial sample onward.

Carlos M., 6 days ago

A well-organized web scraping project

The web scraping project had clear steps for sample approval, field mapping, and scheduled updates. We were able to validate the data structure before confirming the final delivery scope.

Priya S., 2 weeks ago

Structured datasets ready for analysis

The field definitions are clear, and the sample structure matches the delivered dataset. Selecting data by region and time range has reduced the preparation work required before analysis.

Andreas K., 3 days ago

Showing our 5 star reviews

常见问题

Facebook 数据集常见问题

数据集可包含指定公共主页的帖子正文、发布日期、页面链接、公开互动指标及主页元数据。实际字段范围以样本、字段字典和服务方案为准,不包含需要登录访问或非公开的信息。

可以。您可以提供公共主页 ID 或名称清单,并根据实际可用数据按地区、语言或行业进行筛选。较大范围的项目建议先通过样本验证字段覆盖情况。

可根据数据集和项目需求按日、按周或按照约定周期更新,也可在可用范围内提供指定时间段的历史数据。具体频率、时间范围和保留周期以方案为准。

您可以在样本区域申请访问或联系顾问,获取脱敏数据样本与字段字典,用于评估字段结构、数据质量和业务适用性。

数据仅应用于合法且获得适当授权的业务场景,并遵守适用法律、隐私要求及平台条款。不得用于侵犯隐私、未经授权的访问或其他违法用途;页面提及的第三方商标归其各自权利人所有。