This request will retrieve 10 articles\/page for free<\/strong> and 50 articles\/page for paid users<\/strong>.[\/vc_column_text][vc_column_text css=”.vc_custom_1726556468711{padding-bottom: 20px !important;}”]To go to the next page, you need to use the nextPage<\/strong> string value given at the bottom of the response. Use that nextPage<\/strong> string value in your query using this parameter: \u2018page=Nextpagestring<\/b>\u2019.<\/p>\n This parameter will take you to the next page with a new set of articles.[\/vc_column_text][vc_column_text css=”.vc_custom_1726556478472{padding-bottom: 20px !important;}”]For instance, my query is Football. The request parameter would be as follows:<\/p>\n Now, go to the bottom of the page, and you will find the \u201cnextPage<\/b>\u201d with the specified number.[\/vc_column_text][vc_column_text css=”.vc_custom_1705408357831{padding-bottom: 20px !important;}”]Copy that number and enter it in the query with the page parameter. This request will retrieve the next page. Between the brackets, you can add parameters of your choice, like q, qInTitle, qInMeta<\/a>, category, etc.<\/p>\n For detailed information, click here<\/a>.[\/vc_column_text][vc_column_text css=”.vc_custom_1705408890991{padding-bottom: 20px !important;}”]\n After searching your query, add the nextPage<\/strong> string value that will then redirect you to the next page.<\/p>\n Note<\/strong>: You can only go to the next page from your current page, not the other way around. Users can set the loop and paginate until the last page by inserting this code.<\/p>\n However, once all the API credits are exhausted, data extraction will be stopped.<\/p>\n For instance, if your API credit limits can fetch 200 articles, then it will stop fetching after getting all 200 articles from the response.[\/vc_column_text][vc_column_text css=”.vc_custom_1726492859436{padding-bottom: 20px !important;}”]\n This allows you to gather all the available articles that are there, all at once. It is especially beneficial for users with a high number of API credits.<\/p>\n The users can use the ‘scroll=True<\/b>‘ parameter to avail of this benefit.<\/p>\n By using this query, Newsdata.io API would fetch only 1000 articles from the total number of articles available.<\/p>\n Furthermore, you can even add \u2018debug=True<\/strong>\u2019 to monitor your API credit consumption.<\/p>\n To learn more about it, click here<\/a>.[\/vc_column_text][vc_column_text css=”.vc_custom_1705409701448{padding-bottom: 20px !important;}”]\n For Instance, In other words, one who is aware of their API credits should use this parameter. Otherwise, insufficient credits would lead to a failed request.<\/p>\n That is also when the ‘max_result<\/strong>‘ parameter is very useful for those with fewer API credit limits.[\/vc_column_text][vc_column_text]Related Reading:<\/strong> New to the API? Start with getting your API key<\/strong><\/a> and our first request guide<\/strong><\/a>. Working in Python? Our Python client<\/strong><\/a> handles pagination automatically with the Understanding what is pagination how does pagination works and provides useful insight on how to save your API credits.<\/p>\n","protected":false},"author":18,"featured_media":1917,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[46],"tags":[],"yoast_head":"\nhttps:\/\/newsdata.io\/api\/1\/latest?apikey=YOUR_API_KEY&q=YOUR_QUERY<\/code><\/p>\nhttps:\/\/newsdata.io\/api\/1\/latest?apikey=YOUR_API_KEY&q=YOUR-QUERY&page=XXXPPPXXXXXXXXXX<\/code><\/p>\nhttps:\/\/newsdata.io\/api\/1\/latest?apikey=YOUR_API_KEY&q=football<\/code>[\/vc_column_text][image_with_animation image_url=”3021″ image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][vc_column_text css=”.vc_custom_1726488631660{padding-bottom: 20px !important;}”]After entering the query, you will get the data related to your keyword.<\/p>\n
\n[\/vc_column_text][image_with_animation image_url=”3030″ image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][vc_column_text css=”.vc_custom_1705408376108{padding-bottom: 20px !important;}”]You need to repeat this process manually to move to the next pages.<\/p>\n[\/vc_column_text][vc_column_text css=”.vc_custom_1705408600947{padding-bottom: 20px !important;}”]\nPagination In Python<\/strong><\/h2>\n[\/vc_column_text][vc_column_text css=”.vc_custom_1726492809498{padding-bottom: 20px !important;}”]Mentioned below is the process of Pagination in Python:<\/p>\n
\n
pip install newsdataapi<\/code><\/p>\n\n
from newsdataapi import NewsDataApiClient<\/code><\/p>\n\n
api = NewsDataApiClient(apikey="YOUR_API_KEY")<\/code><\/p>\nresponse = api.news_api()<\/code><\/p>\nMethods to Paginate in Python<\/strong><\/h2>\n[\/vc_column_text][vc_column_text css=”.vc_custom_1705408910258{padding-bottom: 20px !important;}”]There are three methods to paginate in Python:
\n[\/vc_column_text][vc_column_text css=”.vc_custom_1726492817209{padding-bottom: 20px !important;}”]\n1. Manual Pagination<\/strong><\/h3>\n
response = api.news_api(page = "nextPage value")<\/code><\/p>\nprint (response)<\/code>[\/vc_column_text][image_with_animation image_url=”3024″ image_size=”full” animation_type=”entrance” animation=”None” animation_movement_type=”transform_y” hover_animation=”none” alignment=”” border_radius=”none” box_shadow=”none” image_loading=”default” max_width=”100%” max_width_mobile=”default”][vc_column_text css=”.vc_custom_1705409054075{padding-bottom: 20px !important;}”]You will have to insert the nextPage string value to the query each time manually.<\/p>\n
\n[\/vc_column_text][vc_column_text css=”.vc_custom_1726492852632{padding-bottom: 20px !important;}”]\n2. Automated Pagination<\/strong><\/h3>\n
page=None<\/code><\/p>\nwhile True:<\/code><\/p>\nresponse = api.news_api(page=page)<\/code><\/p>\npage = response.get('nextPage',None)<\/code><\/p>\nif not page:<\/code><\/p>\nbreak<\/code><\/p>\n3. Scroll<\/strong><\/h3>\n
api = NewsDataApiClient(apikey="YOUR_API_KEY")<\/code><\/p>\nresponse = api.news_api(q='pizza',scroll=True)<\/code><\/p>\nprint(response)<\/code>[\/vc_column_text][vc_column_text css=”.vc_custom_1705409413419{padding-bottom: 20px !important;}”]\nMax Request<\/strong><\/h2>\n[\/vc_column_text][vc_column_text css=”.vc_custom_1726492897023{padding-bottom: 20px !important;}”]Users exhaust their credits while using the scroll parameter. To prevent that from happening, you can use the \u2018max_request<\/strong>\u2019 parameter.<\/p>\n
api = NewsDataApiClient(apikey="YOUR_API_KEY")<\/code><\/p>\nresponse = api.news_api(q='pizza',scroll=True,max_result=1000)<\/code><\/p>\nprint(response)<\/code><\/p>\napi = NewsDataApiClient(apikey="YOUR_API_KEY",debug=True)<\/code><\/p>\nresponse = api.news_api(q='pizza')<\/code><\/p>\nprint(response)<\/code><\/p>\nImportant Note<\/strong><\/h2>\n[\/vc_column_text][vc_column_text css=”.vc_custom_1726489013183{padding-bottom: 20px !important;}”]One must note that by using the \u2018scroll=True<\/strong>\u2019 query, all the articles available related to your query are fetched which isn\u2019t always an ideal situation.<\/p>\n
\nYour searched query has over 10,000 articles but your API limit is 8,000. Then, the entire 8,000 articles worth of credit would be consumed, and it would show an error stating that all the API credits have been consumed without fetching me any data.<\/p>\n<\/code> and <\/code> parameters.[\/vc_column_text][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"