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. Manual pagination gives you full control over how you move through result pages. Each API response contains a nextPage token, which you pass back into the next request.<\/p>\n Scroll pagination fetches all matching results in a single response. It works like a bulk dump of data.<\/p>\n Use the max_result parameter to specify how many articles you want to retrieve in the scroll request.<\/p>\n Paginate allows you to fetch a large amount of data; it provides you with results, maximum pages when you want large datasets.<\/p>\n This is the recommended method when working with large datasets. The API client automatically handles page traversal and returns a generator, allowing pages to be processed one by one. Understanding what is pagination how does pagination works and provides useful insight on how to save your API credits.<\/p>\n","protected":false},"author":17,"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][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_1705408890991{padding-bottom: 20px !important;}”]\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
# -------------------------------------------\n# Manual Pagination Example (Recommended when \n# you want complete control over page traversal)\n# -------------------------------------------\n\nfrom newsdataapi import NewsDataApiClient\n\n# Initialize client with API key\napi = NewsDataApiClient(apikey='YOUR_API_KEY')\n\nnext_page = None\n\nwhile True:\n # Fetch the latest news with manual pagination\n response = api.latest_api(q='pizza', page=next_page)\n\n # Print or store the response\n print(response)\n\n # Get the next page token from the API response\n next_page = response.get('nextPage')\n\n # Stop when there are no more pages\n if next_page is None:\n break<\/code><\/pre>\n[\/vc_column_text][vc_column_text css=”.vc_custom_1705409054075{padding-bottom: 20px !important;}”]When to Use:<\/p>\n\n
2. Scroll<\/h3>\n
# ---------------------------------------------------------\n# Scroll Pagination Example\n# This returns all results at once (be careful with memory!)\n# ---------------------------------------------------------\n\nfrom newsdataapi import NewsDataApiClient\n\n# Initialize client with API key\napi = NewsDataApiClient(apikey='YOUR_API_KEY')\n\n# Fetch up to 1000 results in a single scroll request\nresponse = api.latest_api(q='pizza', scroll=True, max_result=1000)\n\n# Print or process all results at once\nprint(response)<\/code><\/pre>\n[\/vc_column_text][vc_column_text]When to Use:<\/p>\n\n
3. Paginate<\/h3>\n
\nUse max_pages to set the maximum number of pages the generator should retrieve.<\/p>\n# -------------------------------------------------------------\n# Pagination using the "paginate" parameter\n# This method is recommended for fetching large amounts of data.\n# It returns a GENERATOR, allowing you to iterate through pages\n# one by one without loading everything into memory at once.\n# -------------------------------------------------------------\n\nfrom newsdataapi import NewsDataApiClient\n\n# Initialize the NewsDataApiClient with your API key\napi = NewsDataApiClient(apikey='YOUR_API_KEY')\n\n# Enable pagination and limit the number of pages to fetch\n# Note: Setting paginate=True returns a generator object.\nresponse = api.latest_api(q='pizza', paginate=True, max_pages=2)\n\n# Iterate through each page of results from the generator\nfor page_data in response:\n print(page_data) # Or process\/store each page as needed\n<\/code><\/pre>\n[\/vc_column_text][vc_column_text]When to Use:<\/p>\n\n