{"id":65742,"date":"2026-08-14T10:52:07","date_gmt":"2026-08-14T10:52:07","guid":{"rendered":"https:\/\/lirneasia.net\/futureworksasia\/?p=65742"},"modified":"2026-08-14T10:52:10","modified_gmt":"2026-08-14T10:52:10","slug":"webinar-on-harnessing-data-scraping-for-health-research","status":"publish","type":"post","link":"https:\/\/lirneasia.net\/futureworksasia\/2026\/08\/webinar-on-harnessing-data-scraping-for-health-research\/","title":{"rendered":"Webinar on Harnessing Data Scraping for Health Research"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

On June 19, 2026, researchers, clinicians, and policy advocates gathered for a virtual learning session titled \u201cData Scraping for Health Research: How to Use Online Data in Your Study.\u201d The session explored data scraping as an emerging and practical methodological approach for innovative, data-informed health research and policy development.

The session was organized by Women in Global Health Philippines<\/a>, the Alliance for Improving Health Outcomes (AIHO)<\/a>, Damiana Social Ventures<\/a>, and 101 Health Research<\/a>.

The session showcased data scraping as an automated process for efficiently collecting large amounts of data from online platforms, reducing the need for manual data collection. It also highlighted how health research traditionally relies on surveys and clinical records, which can be time-consuming, while data scraping can provide access to real-time insights from social media, public health websites, and job portals.

This work was conducted under the FutureWORKS Asia initiative, administered by LIRNEasia<\/a>, and is part of the FutureWORKS Collective, a global effort supported by the International Development Research Centre (IDRC)<\/a>, Canada.

Learn more about the event: https:\/\/101healthresearch.com\/nursing-labor-market-insights-unveiled-harnessing-data-scraping-for-health-research\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

On June 19, 2026, researchers, clinicians, and policy advocates gathered for a virtual learning session titled \u201cData Scraping for Health Research: How to Use Online Data in Your Study.\u201d The session explored data scraping as an emerging and practical methodological approach for innovative, data-informed health research and policy development. The session was organized by Women in Global Health Philippines, the Alliance for Improving Health Outcomes (AIHO), Damiana Social Ventures, and 101 Health Research. The session showcased data scraping as an automated process for efficiently collecting large amounts of data from online platforms, reducing the need for manual data collection. It also highlighted how health research traditionally relies on surveys and clinical records, which can be time-consuming, while data scraping can provide access to real-time insights from social media, public health websites, and job portals. This work was conducted under the FutureWORKS Asia initiative, administered by LIRNEasia, and is part of the FutureWORKS Collective, a global effort supported by the International Development Research Centre (IDRC), Canada. Learn more about the event: https:\/\/101healthresearch.com\/nursing-labor-market-insights-unveiled-harnessing-data-scraping-for-health-research\/<\/p>\n","protected":false},"author":7,"featured_media":65744,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5,3,31],"tags":[113,111,65,114,109,112],"coauthors":[93],"class_list":["post-65742","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blogs-and-multimedia","category-events","category-women-in-global-health-philippines","tag-101-health-research","tag-digital-health","tag-future-of-work","tag-health-research","tag-nursing-labor","tag-wgh"],"acf":[],"yoast_head":"\nWebinar on Harnessing Data Scraping for Health Research - FutureWORKS Asia<\/title>\n<meta name=\"description\" content=\"On June 19, 2026, researchers, clinicians, and policy advocates gathered for a virtual learning session 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