{"id":488,"date":"2022-03-03T06:42:25","date_gmt":"2022-03-03T06:42:25","guid":{"rendered":"https:\/\/newsdata.io\/blog\/?p=488"},"modified":"2026-10-21T12:24:04","modified_gmt":"2026-10-21T06:54:04","slug":"how-to-download-historical-news-data-with-news-api","status":"publish","type":"post","link":"https:\/\/newsdata.io\/blog\/how-to-download-historical-news-data-with-news-api\/","title":{"rendered":"How To Download Historical News Data With an API"},"content":{"rendered":"[vc_row type=&#8221;in_container&#8221; full_screen_row_position=&#8221;middle&#8221; column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; scene_position=&#8221;center&#8221; text_color=&#8221;dark&#8221; text_align=&#8221;left&#8221; row_border_radius=&#8221;none&#8221; row_border_radius_applies=&#8221;bg&#8221; overflow=&#8221;visible&#8221; overlay_strength=&#8221;0.3&#8243; gradient_direction=&#8221;left_to_right&#8221; shape_divider_position=&#8221;bottom&#8221; bg_image_animation=&#8221;none&#8221;][vc_column column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; bottom_margin=&#8221;220&#8243; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; sticky_content=&#8221;true&#8221; sticky_content_functionality=&#8221;js&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; column_position=&#8221;default&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;1\/4&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221; column_padding_type=&#8221;default&#8221; gradient_type=&#8221;default&#8221; offset=&#8221;vc_hidden-sm vc_hidden-xs&#8221;][\/vc_column][vc_column right_padding_desktop=&#8221;40&#8243; right_padding_tablet=&#8221;0&#8243; right_padding_phone=&#8221;0&#8243; top_margin=&#8221;-240&#8243; top_margin_tablet=&#8221;-180&#8243; top_margin_phone=&#8221;-130&#8243; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; column_position=&#8221;default&#8221; el_class=&#8221;text_block_wrapper&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;3\/4&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221; column_padding_type=&#8221;advanced&#8221; gradient_type=&#8221;default&#8221; offset=&#8221;vc_col-lg-9 vc_col-md-12&#8243;][image_with_animation image_url=&#8221;490&#8243; image_size=&#8221;full&#8221; animation_type=&#8221;entrance&#8221; animation=&#8221;None&#8221; animation_movement_type=&#8221;transform_y&#8221; hover_animation=&#8221;none&#8221; alignment=&#8221;&#8221; border_radius=&#8221;none&#8221; box_shadow=&#8221;none&#8221; image_loading=&#8221;default&#8221; max_width=&#8221;100%&#8221; max_width_mobile=&#8221;default&#8221; margin_bottom=&#8221;30&#8243;][vc_column_text css=&#8221;.vc_custom_1689748806198{padding-bottom: 20px !important;}&#8221;]Before knowing how to download historical news data with a news API, we must understand what historical news data is. Historical News Data refers to the data that gives us information about a certain event that occurred at a particular time which had been broadcasted by different media outlets in the past.<\/p>\n<p>But, as we are aware of the fact that tracking, scanning and extracting historical data manually is time-consuming and extremely difficult.<\/p>\n<p>Luckily, we have <a href=\"https:\/\/newsdata.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">Newsdata.io<\/a> that provides a news API to fetch news data from all over the world.<\/p>\n<p><a href=\"https:\/\/newsdata.io\/\"><span style=\"font-weight: 400\">NewsData.io<\/span><\/a><span style=\"font-weight: 400\"> is a news API that provides live and historical news from a database of 100,000+ sources across 206 countries and 89 languages. Historical access works through the Archive endpoint, and how far back you can go depends on your plan. You can collect the data in JSON, or download it as CSV or Excel.<\/span><\/p>\n<h3><b>How do you download historical news data with a news API?<\/b><b><br \/>\n<\/b><\/h3>\n<p><span style=\"font-weight: 400\">Register for an API key, pick a paid plan that covers the time period you need, then call the <\/span><span style=\"font-weight: 400\">archive<\/span><span style=\"font-weight: 400\"> endpoint with <\/span><span style=\"font-weight: 400\">from_date<\/span><span style=\"font-weight: 400\"> and <\/span><span style=\"font-weight: 400\">to_date<\/span><span style=\"font-weight: 400\"> plus filters like keyword, country, language or category. The response comes back in JSON, and you can also download historical data as CSV or Excel. For large one-time datasets, you can use the<\/span><a href=\"https:\/\/newsdata.io\/historical-news-download\"> <span style=\"font-weight: 400\">historical data request form<\/span><\/a><span style=\"font-weight: 400\">.<\/span>[\/vc_column_text][image_with_animation image_url=&#8221;534&#8243; image_size=&#8221;full&#8221; animation_type=&#8221;entrance&#8221; animation=&#8221;None&#8221; animation_movement_type=&#8221;transform_y&#8221; hover_animation=&#8221;none&#8221; constrain_group_1=&#8221;yes&#8221; alignment=&#8221;&#8221; border_radius=&#8221;none&#8221; box_shadow=&#8221;none&#8221; image_loading=&#8221;default&#8221; max_width=&#8221;100%&#8221; max_width_mobile=&#8221;default&#8221; margin_top=&#8221;20&#8243; margin_bottom=&#8221;20&#8243;][vc_column_text css=&#8221;.vc_custom_1689748688518{padding-top: 40px !important;}&#8221;]\n<h3>Here are some widely used and known applications of Historical news data.<\/h3>\n<p>Financial Analysis: Compare stock data over time, spot trends, and market forecasts against 2-year-old select articles from thousands of sources. Forecast the market and stay ahead of your competitors.<\/p>\n<p><strong>Market Research: <\/strong>Find out where the market has gone and where you can go with access to our historical data. Extract relevant news data to help shape your product launch and determine where and how to impact your business.<\/p>\n<p><strong>Media &amp; Web Monitoring: <\/strong>Expand your reach, also, learn more about the brands you manage with historical news data from thousands of sources. Build brand value and stay ahead of the competition.<\/p>\n<p><strong>AI &amp; Machine Learning:<\/strong> Use NLP, machine learning, and sentiment analysis to uncover new ideas. With a plethora of news data starting in 2019, you can easily create as well as train machine models to improve and automate your business goals.<\/p>\n[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689748672398{padding-top: 40px !important;}&#8221;]\n<h4><b>How to Download Historical News Data With NewsData.io<\/b><\/h4>\n<p><b>Step 1: Create an account and get your API key.<\/b><span style=\"font-weight: 400\"> Visit<\/span><a href=\"https:\/\/newsdata.io\/\"> <span style=\"font-weight: 400\">NewsData.io<\/span><\/a><span style=\"font-weight: 400\"> and<\/span><a href=\"https:\/\/newsdata.io\/register\"> <span style=\"font-weight: 400\">register<\/span><\/a><span style=\"font-weight: 400\">. The free plan lets you test the platform, but historical access needs a paid plan.<\/span><\/p>\n<p><b>Step 2: Choose a plan that covers your date range.<\/b><span style=\"font-weight: 400\"> Pick the plan whose archive window includes the period you want to analyse. See the<\/span><a href=\"https:\/\/newsdata.io\/pricing\"> <span style=\"font-weight: 400\">pricing page<\/span><\/a><span style=\"font-weight: 400\">.<\/span><\/p>\n<p><b>Step 3: Call the Archive endpoint.<\/b><span style=\"font-weight: 400\"> Send a request to the archive endpoint with your date range:<\/span><\/p>\n<p><code>https:\/\/newsdata.io\/api\/1\/archive?apikey=YOUR_API_KEY&amp;q=electric vehicle&amp;from_date=2025-01-01&amp;to_date=2025-03-31<\/code><\/p>\n<p><b>Step 4: Filter the results.<\/b><span style=\"font-weight: 400\"> Narrow your data using parameters such as:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">q<\/span><span style=\"font-weight: 400\">: keywords in the title and content<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">qInTitle<\/span><span style=\"font-weight: 400\">: keywords in the title only<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">qInMeta<\/span><span style=\"font-weight: 400\">: keywords in the meta description<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">country<\/span><span style=\"font-weight: 400\">: for example <\/span><span style=\"font-weight: 400\">country=in, us<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">language<\/span><span style=\"font-weight: 400\">: for example <\/span><span style=\"font-weight: 400\">language=en,fr<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">category<\/span><span style=\"font-weight: 400\">: for example <\/span><span style=\"font-weight: 400\">category=technology<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">domain<\/span><span style=\"font-weight: 400\"> and <\/span><span style=\"font-weight: 400\">prioritydomain<\/span><span style=\"font-weight: 400\">: to focus on specific or top-ranked sources<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">id<\/span><span style=\"font-weight: 400\">: fetch specific articles by ID (up to 50 IDs in one request)<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">For the full list, read the<\/span><a href=\"https:\/\/newsdata.io\/blog\/all-about-news-archive-endpoint\/\"> <span style=\"font-weight: 400\">News Archive endpoint guide<\/span><\/a><span style=\"font-weight: 400\"> or the<\/span><a href=\"https:\/\/newsdata.io\/documentation\"> <span style=\"font-weight: 400\">documentation<\/span><\/a><span style=\"font-weight: 400\">.<\/span><\/p>\n<p><b>Step 5: Paginate through the results.<\/b><span style=\"font-weight: 400\"> Large date ranges return many articles, so use the <\/span><span style=\"font-weight: 400\">nextPage<\/span><span style=\"font-weight: 400\"> value from each response in the <\/span><span style=\"font-weight: 400\">page<\/span><span style=\"font-weight: 400\"> parameter of your next request to keep going.<\/span><\/p>\n<p><b>Step 6: Export your data.<\/b><span style=\"font-weight: 400\"> Use the JSON response directly in your pipeline, or download the data in CSV or Excel for spreadsheet analysis.<\/span>[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689748681316{padding-top: 40px !important;}&#8221;]\n<h2><b>\u201cDownload Historical News Data With Python\u201d<\/b><\/h2>\n<p><span style=\"font-weight: 400\">NewsData.io has an official Python client. Install it with <\/span><span style=\"font-weight: 400\">pip install newsdataapi<\/span><span style=\"font-weight: 400\">, then:<\/span><\/p>\n<p><code>python<\/code><\/p>\n<p>from newsdataapiimportNewsDataApiClient<\/p>\n<h3><\/h3>\n<p>api = NewsDataApiClient(apikey=<\/p>\n<h3><\/h3>\n<p>response = api.archive_api(<br \/>\nq=&#8217;electric vehicle&#8217;,<br \/>\nfrom_date=&#8217;2025-01-01&#8242;,<br \/>\nto_date=&#8217;2025-03-31&#8242;,<br \/>\nlanguage=&#8217;en&#8217;<\/p>\n<p>)<\/p>\n<h3><\/h3>\n<p>print(response)<\/p>\n<p><span style=\"font-weight: 400\">To loop through all pages of a large result set, pass <\/span><span style=\"font-weight: 400\">scroll=True<\/span><span style=\"font-weight: 400\"> along with the <\/span><span style=\"font-weight: 400\">page<\/span><span style=\"font-weight: 400\"> value from the previous response. For a full walkthrough, see<\/span><a href=\"https:\/\/newsdata.io\/blog\/news-api-python-client\/\"> <span style=\"font-weight: 400\">How to use News API in Python<\/span><\/a><span style=\"font-weight: 400\">.<\/span>[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689748681316{padding-top: 40px !important;}&#8221;]\n<h3>Structured News data<\/h3>\n<p><a href=\"https:\/\/newsdata.io\/\" target=\"_blank\" rel=\"noreferrer noopener\">Newsdata.io<\/a> API collects all the available metadata related to the news articles provided by the publishers. All the metadata that collect about the news articles are mentioned below:<\/p>\n<ul>\n<li><strong>Title- <\/strong>The title of the news article.<\/li>\n<li><strong>Article link- <\/strong>Link to the news article on the web.<\/li>\n<li><strong>Pub Date- <\/strong>The publish date of the news article.<\/li>\n<li><strong>Author- <\/strong>The author of the news article.<\/li>\n<li><strong>Publisher- <\/strong>The publisher\u2019s domain name.<\/li>\n<li><strong>Country- <\/strong>The country name of the publisher.<\/li>\n<li><strong>Language- <\/strong>The language of the news article<\/li>\n<li><strong>Description- <\/strong>The description of the news article.<\/li>\n<\/ul>\n[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689748655231{padding-top: 40px !important;padding-bottom: 20px !important;}&#8221;]\n<h2 class=\"has-text-align-left\">Conclusion:<\/h2>\n<p><span style=\"font-weight: 400\">Downloading historical news data no longer needs manual searching or scraping. With NewsData.io\u2019s Archive endpoint, you can query past news by date range, keyword, country, language and category, and export it as JSON, CSV or Excel. Choose a plan that matches the time period you need, test with the Count endpoint, and start downloading. You can also<\/span><a href=\"https:\/\/newsdata.io\/historical-news-download\"> <span style=\"font-weight: 400\">request historical news data here<\/span><\/a><span style=\"font-weight: 400\">. If you are comparing providers, see our list of the<\/span><a href=\"https:\/\/newsdata.io\/blog\/best-historical-news-apis\/\"> <span style=\"font-weight: 400\">best historical news APIs<\/span><\/a><span style=\"font-weight: 400\">.<\/span>[\/vc_column_text][vc_column_text css=&#8221;.vc_custom_1689748681316{padding-top: 40px !important;}&#8221;]\n<h2><b>Frequently Asked Questions<\/b><\/h2>\n<p><b>1. What is historical news data?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400\">Historical news data is the collection of articles published by media outlets in the past about events, topics or time periods, stored in a searchable and structured form.<\/span><\/p>\n<p><b>2. How do I download historical news data?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400\">Use a news API with an archive endpoint. With NewsData.io, call the <\/span><span style=\"font-weight: 400\">archive<\/span><span style=\"font-weight: 400\"> endpoint with <\/span><span style=\"font-weight: 400\">from_date<\/span><span style=\"font-weight: 400\"> and <\/span><span style=\"font-weight: 400\">to_date<\/span><span style=\"font-weight: 400\">, add filters, and download the results as JSON, CSV or Excel.<\/span><\/p>\n<p><b>3. How far back does NewsData.io historical data go?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400\">It depends on your plan: roughly 6 months on Basic, up to 2 years on Professional and up to 10 years on Corporate.<\/span><\/p>\n<p><b>4. Is historical news data available on the free plan?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400\">No. The archive endpoint needs a paid plan. See<\/span><a href=\"https:\/\/newsdata.io\/blog\/free-news-api-vs-paid-news-api\/\"> <span style=\"font-weight: 400\">free vs paid news API<\/span><\/a><span style=\"font-weight: 400\"> for the differences.<\/span><\/p>\n<p><b>5. Can I filter historical news by country, language or category?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400\">Yes. The archive endpoint supports keyword, country, language, category, domain and priority domain filters alongside the date range.<\/span><\/p>\n<p><b>6. In which formats can I get historical news data?<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400\">JSON through the API, and CSV or Excel when you download the data.<\/span>[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"<p>Do you know what is historical news data? learn how to download historical news data with news api.<\/p>\n","protected":false},"author":18,"featured_media":490,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[6],"tags":[12,16,3],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How To Download Historical News Data With an API<\/title>\n<meta name=\"description\" content=\"Learn how to download historical news data with a news API using date filters and the archive endpoint. 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