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One method to gather SNA data is to scrape them from environmental organizations\u2019 websites. Web-based research can provide important opportunities to understand environmental governance and policy networks while potentially reducing costs and time when compared to traditional survey and interview methods. A key parameter is \u2018search depth,\u2019 i.e., how many connected pages within a website to search for information. Existing research uses a variety of depths and no best practices exist, undermining research quality and case study comparability. We therefore analyze how search depth affects SNA data collection among environmental organizations, if results vary when organizations have different objectives, and how search depth affects social network structure. We find that scraping to a depth of three captures the majority of relevant network data regardless of an organization\u2019s focus. Stakeholder identification (i.e., who is in the network) may require less scraping, but this might under-represent network structure (i.e., who is connected). We also discuss how scraping web-pages of local programs of larger organizations may lead to uncertain results and how our work can combine with mixed methods approaches.<\/jats:p>","DOI":"10.1007\/s41109-022-00472-0","type":"journal-article","created":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T13:04:02Z","timestamp":1654520642000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["How deep to dig: effects of web-scraping search depth on hyperlink network analysis of environmental stewardship organizations"],"prefix":"10.1007","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1837-8920","authenticated-orcid":false,"given":"Jesse S.","family":"Sayles","sequence":"first","affiliation":[]},{"given":"Ryan P.","family":"Furey","sequence":"additional","affiliation":[]},{"given":"Marilyn R.","family":"ten Brink","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,6]]},"reference":[{"key":"472_CR1","volume-title":"Analyzing social media networks with NodeXL: insights from a connected world","author":"R Ackland","year":"2010","unstructured":"Ackland R (2010) WWW hyperlink networks. 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