What are the difficulties in obtaining ESG data sets

ESG data set integration faces data fragmentation and access restrictions. This article analyzes the core pain points and solutions, and explores how proxy technology can improve data collection efficiency.

What are ESG datasets?

ESG (environment, society, governance) data sets cover non-financial indicators such as corporate carbon emissions, social responsibility, and board structure, and are the core basis for investment decisions and sustainable development analysis. As global regulation becomes stricter, the demand for ESG data from companies and institutions has surged, but problems such as data dispersion and high barriers to acquisition are common. With the help of proxy services such as abcproxy, the data collection process can be optimized and technical bottlenecks can be broken.

Why are ESG datasets difficult to obtain efficiently?

1. Data source fragmentation

ESG data is usually scattered across government platforms, corporate annual reports, third-party rating agencies (such as MSCI, Sustainalytics) and news media, with large format differences and inconsistent update frequencies, resulting in high integration costs.

2. Access frequency limit

Most public databases (such as CDP and GRI) set limits on the frequency of IP requests. High-frequency crawling can easily trigger anti-crawling mechanisms, leading to IP bans or data truncation.

3. Dynamic verification mechanism

Some platforms use technologies such as verification codes and login status verification to intercept automated tools, but manual operations are inefficient and difficult to scale.

How to overcome ESG data access restrictions?

Dynamic IP resource pool

By rotating residential proxy IPs (such as abcproxy's unlimited residential proxy), we can simulate the access behavior of real global users and avoid IP blocking by anti-crawling systems. For example, when collecting ESG reports of EU companies, we can give priority to calling local European IPs to reduce the risk control recognition rate.

Intelligent request scheduling

Split the collection task into multi-threaded low-frequency requests and set random delay parameters to make the data crawling behavior closer to the manual browsing mode.

Multi-source data aggregation tool

Combining API interfaces with crawler technology, it automatically cleans ESG data from different sources (such as CSV, PDF, HTML) and generates a structured database.

How does abcproxy enable ESG data integration?

In response to the special needs of ESG data collection, abcproxy provides the following technical solutions:

Residential Proxy and Static ISP Proxy Combination

Residential proxy: supports high-frequency IP changes and is suitable for short-term intensive collection tasks (such as batch downloading of corporate annual reports).

Static ISP proxy: provides long-term stable IP for continuous monitoring of data updates on specific platforms (such as real-time tracking of carbon trading data).

Geographic location precise matching

According to the region where the target data source is located (such as the US SEC database and the EU EEA environmental data), call the local ISP or residential IP to improve the access success rate.

Protocol compatibility and anonymity

Supports HTTP(S)/Socks5 protocol, ensuring seamless integration with mainstream crawler frameworks (such as Scrapy and Selenium) while hiding real device fingerprints.

Summarize

The efficiency of obtaining ESG data sets directly affects corporate compliance and strategy formulation, and proxy IP technology can effectively balance data needs and platform risk control rules. As a professional proxy IP service provider, abcproxy provides a variety of high-quality proxy IP products, including residential proxies, data center proxies, static ISP proxies, Socks5 proxies, and unlimited residential proxies, which are suitable for a variety of application scenarios. If you are looking for a reliable proxy IP service, please visit the abcproxy official website for more details.