--- title: "Wikipedia Image Scraper" slug: image date: 2026-09-24T09:28:46+00:00 modified: 2026-09-24T09:28:46+00:00 permalink: https://brightdata.com/products/web-scraper/wikipedia/image type: company --- [![4.6 out of five star rating on Trustpilot](https://brightdata.com/wp-content/themes/brightdata/assets/images/social/tp_short_dark.svg?ver=16052024)](https://www.trustpilot.com/review/brightdata.com "4.6 out of five star rating on Trustpilot")[![4.7 out of 5 stars rating on G2](https://brightdata.com/wp-content/themes/brightdata/assets/images/social/g2_short_dark.svg?ver=16052024)](https://www.g2.com/products/bright-data/reviews "4.7 out of 5 stars rating on G2")[![4.8 out of 5 stars rating on Capterra](https://brightdata.com/wp-content/themes/brightdata/assets/images/social/capterra_short_dark.svg?ver=16052024)](https://www.capterra.com/p/208755/Bright-Data "4.8 out of 5 stars rating on Capterra") # Wikipedia Image Scraper API Scrape Wikipedia article images and collect data such as: images, article ID, title, URL, categories, table of contents, references, and more. Contact salesStart free 5K free records/month · Credit card not required **## Trusted by 50,000+ customers worldwide** ## Available Wikipedia scrapers Pick a Wikipedia scraper and call it. Every Wikipedia Image scraper lists its output fields, delivery volume, and live success rate. ### Wikipedia articles URL, Title, Table of contents, Raw text, Cataloged text, Images, See also, References, and more. 1.2K+ 31+ Start free ### Wikipedia articles - Discover new articles by searching keywords in Wikipedia URL, Title, Table of contents, Raw text, Cataloged text, Images, See also, References, and more. 1.2K+ 31+ Start free AI Scraper Studio Generate a scraper API for your domain using AI [Start now](/cp/data_collector/collectors/create?camp=plg) ### Explore thousands of production-ready scrapers Pay only for successful results, no surprises – Proxies, unlocking, browsers and retries are built in. Start free ### \#1 Ranked (by AIMultiple) ### 99.2% Avg. success rate ### 100M+ Requests weekly ### 400M+ Proxy IPs built in ### GDPR & CCPA Compliant Pricing ## Wikipedia Image Scraper API Pricing ## Only pay for what’s successfully delivered. No hidden fees, no charges for failed deliveries. Get 25% off on Scraper API for 3 months. Use code APIS25 at checkout. Start now CALCULATE YOUR COST Records per month: **5K** $/mo $ per 1,000 records Your whole bill. Proxies, unblocking, parsing included. Get started 5K 10K 50K 100K 500K 1M 5M - Pay only for success, no hidden fees - Start free with 5,000 monthly credits - No upfront commitment, cancel anytime - 24/7 expert support and enterprise features Free Tier 5K records Start free - 5K records per month - No credit card required - Expert support Pay as you go $1.5/1K record Start free - Pay only for success - Set monthly spend limits - Unlimited concurrency - Expert support Scale $499 /month Start free - 384,000 records included - $1.3/1K additional records - Unlimited concurrency - Cancel anytime - Expert support Enterprise Custom Talk to sales - Volume discounts - Account manager - Premium SLA - Priority support - SSO Comparing scraping platforms? See what others charge extra for Most platforms stack extra charges on top of the per-record rate. With Bright Data, the record price is the whole bill: Compute / runtime units commonly billed per scraper runtime hour or compute unit Included Residential proxy bandwidth commonly billed per GB Included Storage & dataset retention commonly billed per GB-month Included Data transfer / egress commonly billed per GB out Included Unblocking & CAPTCHA solving commonly a paid add-on Included Parsing to structured JSON commonly your own code Included We accept these payment methods: ### Just want data? Skip scraping. Purchase a [ Wikipedia Image dataset](https://brightdata.com/products/datasets/image) How it works ## From zero to Wikipedia Image data in 3 steps No proxies to configure, no infrastructure to manage. Pick, call, and receive. 1. ### Pick a scraper Choose from the Wikipedia Image scrapers above or create your own with AI in minutes. 2. ### Call the API One API call with up to 5,000 target URLs. Python and Node.js SDKs, CLI, MCP server, or any HTTP client. 3. ### Get structured data Receive clean, parsed Wikipedia Image data in JSON, NDJSON, or CSV. Delivered via API, webhook, or cloud storage. Articles Scraper API Call cURL Python Node.js ``` curl -H "Authorization: Bearer API_TOKEN" -H "Content-Type: application/json" -d '[{"url":"https://en.wikipedia.org/wiki/Computing"},{"url":"https://en.wikipedia.org/wiki/Cloud_computing"},{"url":"https://en.wikipedia.org/wiki/Quantum_computing"},{"url":"https://en.wikipedia.org/wiki/Ubiquitous_computing"}]' "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_lr9978962kkjr3nx49&format=json&uncompressed_webhook=true" ``` ``` import requests import json headers = { "Authorization": "Bearer API_TOKEN", "Content-Type": "application/json", } payload = [{"url":"https://en.wikipedia.org/wiki/Computing"},{"url":"https://en.wikipedia.org/wiki/Cloud_computing"},{"url":"https://en.wikipedia.org/wiki/Quantum_computing"},{"url":"https://en.wikipedia.org/wiki/Ubiquitous_computing"}] response = requests.post( "https://api.brightdata.com/datasets/v3/trigger" "?dataset_id=gd_lr9978962kkjr3nx49&format=json&uncompressed_webhook=true", headers=headers, json=payload, ) print(response.json()) ``` ``` const response = await fetch( "https://api.brightdata.com/datasets/v3/trigger?dataset_id=gd_lr9978962kkjr3nx49&format=json&uncompressed_webhook=true", { method: "POST", headers: { "Authorization": "Bearer API_TOKEN", "Content-Type": "application/json", }, body: JSON.stringify([{"url":"https://en.wikipedia.org/wiki/Computing"},{"url":"https://en.wikipedia.org/wiki/Cloud_computing"},{"url":"https://en.wikipedia.org/wiki/Quantum_computing"},{"url":"https://en.wikipedia.org/wiki/Ubiquitous_computing"}]), } ); const data = await response.json(); console.log(data); ``` Response payload ``` [ { "timestamp": "2026-10-06", "url": "https:\/\/en.wikipedia.org\/wiki\/The_Single_Sin", "title": "The Single Sin", "table_of_contents": [ "1 Plot", "2 Cast", "3 Preservation status", "4 References", "5 External links" ], "raw_text": "1931 film\n\nThe Single SinDirected byWilliam NighWritten byA. P. YoungerFrances HylandProduced byPhil GoldstoneStarringKa...", "cataloged_text": [ { "links_in_text": [ { "link_name": "edit", "url": "https:\/\/en.wikipedia.org\/w\/index.php?title=The_Single_Sin\u0026action=edit\u0026section=1" }, { "link_name": "bootlegging", "url": "https:\/\/en.wikipedia.org\/wiki\/Rum-running" }, { "link_name": "blackmail", "url": "https:\/\/en.wikipedia.org\/wiki\/Blackmail" }, { "link_name": "edit", "url": "https:\/\/en.wikipedia.org\/w\/index.php?title=The_Single_Sin\u0026action=edit\u0026section=2" }, { "link_name": "Kay Johnson", "url": "https:\/\/en.wikipedia.org\/wiki\/Kay_Johnson" }, { "link_name": "Bert Lytell", "url": "https:\/\/en.wikipedia.org\/wiki\/Bert_Lytell" }, { "link_name": "Paul Hurst", "url": "https:\/\/en.wikipedia.org\/wiki\/Paul_Hurst_(actor)" }, { "link_name": "Matthew Betz", "url": "https:\/\/en.wikipedia.org\/wiki\/Matthew_Betz" } ], "text": "Plot[edit]\nStruggling actress Kate Adams gets mixed up in a bootlegging racket, but is sent to jail for several months. ...", "title": "The Single Sin" } ], "images": null, "see_also": null }, { "timestamp": "2026-10-06", "url": "https:\/\/en.wikipedia.org\/wiki\/Claytonia,_Idaho", "title": "Claytonia, Idaho", "table_of_contents": [ "1 History", "2 References" ], "raw_text": "Coordinates: 43°34′03″N 116°49′59″W \/ 43.56750°N 116.83306°W \/ 43.56750; -116.83306 Unincorporated community in the s...", "cataloged_text": [ { "links_in_text": [ { "link_name": "Unincorporated community", "url": "https:\/\/en.wikipedia.org\/wiki\/Unincorporated_area" }, { "url": "https:\/\/en.wikipedia.org\/wiki\/File:USA_Idaho_location_map.svg" }, { "url": "https:\/\/en.wikipedia.org\/wiki\/File:Usa_edcp_location_map.svg" }, { "link_name": "43°34′03″N 116°49′59″W \/ 43.56750°N 116.83306°W \/ 43.56750; -116.83306", "url": "https:\/\/geohack.toolforge.org\/geohack.php?pagename=Claytonia,_Idaho\u0026params=43_34_03_N_116_49_59_W_region:US_type:city" }, { "link_name": "State", "url": "https:\/\/en.wikipedia.org\/wiki\/U.S._state" }, { "link_name": "Idaho", "url": "https:\/\/en.wikipedia.org\/wiki\/Idaho" }, { "link_name": "County", "url": "https:\/\/en.wikipedia.org\/wiki\/List_of_counties_in_Idaho" }, { "link_name": "Owyhee", "url": "https:\/\/en.wikipedia.org\/wiki\/Owyhee_County,_Idaho" } ], "text": "Unincorporated community in the state of Idaho, United States\n\n\nUnincorporated community in Idaho, United StatesClaytoni...", "title": "Claytonia, Idaho" } ], "images": [ { "image_text": "Map of Idaho highlighting Owyhee County", "image_url": "https:\/\/thumb.wikimedia.org\/wikipedia\/commons\/thumb\/8\/88\/Map_of_Idaho_highlighting_Owyhee_County.svg\/60px-Map_of_Idaho_h..." } ], "see_also": null }, { "timestamp": "2026-10-06", "url": "https:\/\/en.wikipedia.org\/wiki\/Farnum_Block", "title": "Farnum Block", "table_of_contents": [ "1 Description and history", "2 See also", "3 References" ], "raw_text": "Coordinates: 42°4′34″N 71°37′49″W \/ 42.07611°N 71.63028°W \/ 42.07611; -71.63028\n\nUnited States historic placeFarnum B...", "cataloged_text": [ { "links_in_text": [ { "link_name": "U.S. National Register of Historic Places", "url": "https:\/\/en.wikipedia.org\/wiki\/National_Register_of_Historic_Places" }, { "url": "https:\/\/en.wikipedia.org\/wiki\/File:UxbridgeMA_FarnumBlock.jpg" }, { "url": "https:\/\/en.wikipedia.org\/wiki\/File:USA_Massachusetts_location_map.svg" }, { "url": "https:\/\/en.wikipedia.org\/wiki\/File:Usa_edcp_location_map.svg" }, { "link_name": "Uxbridge, Massachusetts", "url": "https:\/\/en.wikipedia.org\/wiki\/Uxbridge,_Massachusetts" }, { "link_name": "42°4′34″N 71°37′49″W \/ 42.07611°N 71.63028°W \/ 42.07611; -71.63028", "url": "https:\/\/geohack.toolforge.org\/geohack.php?pagename=Farnum_Block\u0026params=42_4_34_N_71_37_49_W_type:landmark_region:US-MA" }, { "link_name": "MPS", "url": "https:\/\/en.wikipedia.org\/wiki\/Multiple_Property_Submission" }, { "link_name": "83004117", "url": "https:\/\/npgallery.nps.gov\/AssetDetail\/NRIS\/83004117" } ], "text": "United States historic placeFarnum BlockU.S. National Register of Historic Places\nLocation within MassachusettsShow map ...", "title": "Farnum Block" } ], "images": null, "see_also": null }, { "timestamp": "2026-10-06", "url": "https:\/\/en.wikipedia.org\/wiki\/Tomsenati", "title": "Tomsenati", "table_of_contents": [ "1 References" ], "raw_text": "Coordinates: 26°52′28″N 56°00′15″E \/ 26.87444°N 56.00417°E \/ 26.87444; 56.00417Village in Hormozgan, IranTomsenati\n ...", "cataloged_text": [ { "links_in_text": [ { "url": "https:\/\/en.wikipedia.org\/wiki\/File:Iran_location_map.svg" }, { "link_name": "26°52′28″N 56°00′15″E \/ 26.87444°N 56.00417°E \/ 26.87444; 56.00417", "url": "https:\/\/geohack.toolforge.org\/geohack.php?pagename=Tomsenati\u0026params=26_52_28_N_56_00_15_E_region:IR_type:city(227)" }, { "link_name": "Country", "url": "https:\/\/en.wikipedia.org\/wiki\/List_of_countries" }, { "link_name": "Iran", "url": "https:\/\/en.wikipedia.org\/wiki\/Iran" }, { "link_name": "Province", "url": "https:\/\/en.wikipedia.org\/wiki\/Provinces_of_Iran" }, { "link_name": "Hormozgan", "url": "https:\/\/en.wikipedia.org\/wiki\/Hormozgan_Province" }, { "link_name": "County", "url": "https:\/\/en.wikipedia.org\/wiki\/Counties_of_Iran" }, { "link_name": "Qeshm", "url": "https:\/\/en.wikipedia.org\/wiki\/Qeshm_County" } ], "text": "Village in Hormozgan, IranTomsenati\n تم سنتيVillageTomsenatiLocation within IranCoordinates: 26°52′28″N 56°00′15″E \/...", "title": "Tomsenati" } ], "images": null, "see_also": null }, { "timestamp": "2026-10-06", "url": "https:\/\/en.wikipedia.org\/wiki\/Ka%C4%BEamenov%C3%A1", "title": "Kaľamenová", "table_of_contents": [ "1 History", "2 Geography", "3 Population", "3.1 Ethnicity", "3.2 Religion", "4 Genealogical resources", "5 See also", "6 References" ], "raw_text": "Coordinates: 48°53′N 18°47′E \/ 48.88°N 18.78°E \/ 48.88; 18.78Municipality in Žilina Region, SlovakiaKaľamenováMunicip...", "cataloged_text": [ { "links_in_text": [ { "link_name": "Municipality", "url": "https:\/\/en.wikipedia.org\/wiki\/List_of_municipalities_and_towns_in_Slovakia" }, { "url": "https:\/\/en.wikipedia.org\/wiki\/File:Ka%C4%BEamenov%C3%A1_WF11_(3).jpg" }, { "url": "https:\/\/en.wikipedia.org\/wiki\/File:Kalamenova-turcianske_teplice-flag.svg" }, { "url": "https:\/\/en.wikipedia.org\/wiki\/File:%C5%BDilina_Region_-_physical_map.png" }, { "link_name": "Žilina Region", "url": "https:\/\/en.wikipedia.org\/wiki\/%C5%BDilina_Region" }, { "url": "https:\/\/en.wikipedia.org\/wiki\/File:Slovakia_relief_location_map.svg" }, { "link_name": "Slovakia", "url": "https:\/\/en.wikipedia.org\/wiki\/Slovakia" }, { "link_name": "48°53′N 18°47′E \/ 48.88°N 18.78°E \/ 48.88; 18.78", "url": "https:\/\/geohack.toolforge.org\/geohack.php?pagename=Ka%C4%BEamenov%C3%A1\u0026params=48.88_N_18.78_E_region:SK_type:city(100)" } ], "text": "Municipality in Žilina Region, SlovakiaKaľamenováMunicipality\n\nFlagKaľamenováLocation of Kaľamenová in the Žilina Region...", "title": "Kaľamenová" } ], "images": null, "see_also": null } ] ``` Start free World's #1 scraping platform ## Everything you need, built in You pay for results. Proxies, rendering, concurrency, and delivery are always included, on every plan. ### Go straight to the source Every request runs on Bright Data infrastructure. 400M+ IPs, unlocking and browsers are built in. ### Scale to millions of pages instantly Send unlimited concurrent requests - no infrastructure to manage, no configs to change. ### Scrapers auto-fix when sites change AI-powered self-healing detects site changes and repairs scrapers. Your pipelines keep running. ### Thousands of verified scrapers Every scraper is built, tested, and maintained by Bright Data. No community guesswork. ### Pay per result, nothing extra One price per record . Proxies, retries, rendering, unblocking - all included, no surprises. ### Compliant and fully supported GDPR & CCPA compliant. 24/7 human support on every plan, including free. Start free Choose your path ## Start collecting Wikipedia Image data in minutes Call the API from code, click through the control panel, or hand it to your AI agent. Call it from code Trigger runs with parameters, schedule recurring jobs, and deliver to your storage or webhook. --- - Build requests in any language - Automate with schedulers and webhooks - JSON, NDJSON, or CSV delivery Run it in the control panel No engineering required: configure inputs, run, and download results in one place. --- - Configure inputs visually - Run with one click - Download JSON or CSV Hand it to your agent Your agent reads SKILL.md over MCP or the CLI and scrapes on its own. --- - Works with any MCP-compatible agent - One prompt to scrape - Structured JSON straight back to your agent Use cases ## Wikipedia Image data scraping use cases Real-time Wikipedia Image intelligence for your business. #### Article image collection Images Title URL Collect the images used in Wikipedia articles, matched to article titles and URLs, for reference, research or knowledge products. #### Knowledge base enrichment Images Categories Raw text Pair article images with categories and text to add visual context to knowledge graphs and internal knowledge bases. #### Multimodal training data Images Cataloged text Title Build image and text pairs from Wikipedia articles to train and evaluate multimodal models. #### Reference research Images References External links Trace the images in an article alongside its references and external links to support fact-checking and source research. By data type ## Explore more Wikipedia scrapers [### Wikipedia Scraper Scrape Wikipedia and collect article data such as title, table of contents, raw and cataloged text, images, see also links, references, and more. ](/products/web-scraper/wikipedia) Compare Bright Data to others ## Web Scraper API vs other providers Capability **Bright** Data Other scraping providers Auto-scaling infrastructure Unlimited Partial Anti-bot & CAPTCHA bypass Built-in Partial Residential proxy network 400M+ IPs Limited pool Pre-built scrapers 1,400+ 50–200 Auto-maintenance (site changes) 24/7 Depends on who built it Pricing model One all-in price per record Compute, proxy, and storage metered separately Failed requests Free, pay only for success Often billed Custom sites (no pre-built scraper) AI builds it in minutes, self-healing included Community-built scrapers, no SLA Compliance (GDPR, CCPA, SOC 2) Full Partial Structured output (JSON/CSV) Automatic Support 24/7 experts, even on the free tier Community forum Free tier 5K records/mo Varies compliance ## Leading the way in ethical web data collection Only publicly available data. ISO 27001 certified, SOC 2 controls, GDPR & CCPA compliant. Every use case is reviewed by a dedicated Compliance & Ethics team, backed by a documented Know Your Customer process and Acceptable Use Policy. [Visit the trust center](https://brightdata.com/trustcenter) Bright Data is used by world's top brands - [ --- Elio Narciso Co-founder and CEO at ScaleStack ](https://www.youtube.com/embed/j0BYFsK3k54) - [ --- Jessica Zizzamia Head of Product at Vibeslist ](https://www.youtube.com/embed/Qki-yHyCYt4) - [ --- Arjun Chintapalli Co-Founder & CTO of RTRVR ](https://www.youtube.com/embed/xUhRwFPIphI) - [ --- TJ Richardson Co-founder at Fundable ](https://www.youtube.com/embed/fT0ndFBQ-Vs) - [ --- Saroop Bharwani Co-founder at Senso ](https://www.youtube.com/embed/6Lo0w1hxAso) - [ --- Constantine Janashvilli Co-founder at Parallax Vision ](https://www.youtube.com/embed/vcfDCWutHyo) - [ --- Bhavani Kalisetty Co-Founder & CTO of RTRVR ](https://www.youtube.com/embed/EcBiLXl57N0) ### Wikipedia Image Scraper API FAQs [### What is the Wikipedia Image Scraper API? ](<#What is the Wikipedia Image Scraper API? >)The Wikipedia Image Scraper API is a powerful tool designed to automate data extraction from the Wikipedia Image website, allowing users to efficiently gather and process large volumes of data for various use cases. [### How does the Wikipedia Image Scraper API work? ](<#How does the Wikipedia Image Scraper API work? >)The Wikipedia Image Scraper API works by sending automated requests to targeted website, extracting the necessary data points, and delivering them in a structured format. This process ensures accurate and quick data collection. [### Is the Wikipedia Image Scraper API compliant with data protection regulations? ](<#Is the Wikipedia Image Scraper API compliant with data protection regulations? >)Yes, the Wikipedia Image Scraper API is designed to comply with data protection regulations, including GDPR and CCPA. It ensures that all data collection activities are performed ethically and legally. [### Can I use the Wikipedia Image Scraper API for competitive analysis? ](<#Can I use the Wikipedia Image Scraper API for competitive analysis? >)Absolutely! The Wikipedia Image Scraper API is ideal for competitive analysis, allowing you to gather insights into your competitors' activities, trends, and strategies. [### How can I integrate the Wikipedia Image Scraper API with my existing systems? ](<#How can I integrate the Wikipedia Image Scraper API with my existing systems? >)The Wikipedia Image Scraper API offers flawless integration with various platforms and tools. You can use it with your existing data pipelines, CRM systems, or analytics tools to improve your data processing capabilities. [### Is there a free tier available for the Wikipedia Image Scraper API?](<#Is there a free tier available for the Wikipedia Image Scraper API?>)Yes! Every new Bright Data account automatically includes 5,000 free credits per month (approximately $7.50 in value) — no credit card required, no promo code, no commitment. These credits apply to Scrapers (including the Wikipedia Image Scraper API), as well as the Unlocker API and SERP API. Credits renew on the 1st of each month, and you can start making API calls immediately after signing up. [### What happens when my free credits run out while using the Wikipedia Image Scraper API?](<#What happens when my free credits run out while using the Wikipedia Image Scraper API?>)When your 5,000 free monthly credits are exhausted, behavior depends on your account balance. If you have pre-deposited funds, usage continues seamlessly at standard PAYG rates with no interruption. If you have no deposited funds, requests will return an error until you add funds or until your credits renew on the 1st of the following month. Note that unused free credits do not roll over. To avoid interruptions, you can enable auto-recharge in your billing settings at [brightdata.com/cp/billing/settings](https://brightdata.com/cp/billing/settings). [### What are the usage limits for the Wikipedia Image Scraper API? ](<#What are the usage limits for the Wikipedia Image Scraper API? >)There are no specific usage limits for the Wikipedia Image Scraper API, offering you the flexibility to scale as needed. [### Do you provide support for the Wikipedia Image Scraper API? ](<#Do you provide support for the Wikipedia Image Scraper API? >)Yes, we offer dedicated support for the Wikipedia Image Scraper API. Our support team is available 24/7 to assist you with any questions or issues you may encounter while using the API. [### What delivery methods are available?](<#What delivery methods are available?>)Amazon S3, Google Cloud Storage, Google PubSub, Microsoft Azure Storage, Snowflake, and SFTP. [### What file formats are available?](<#What file formats are available?>)JSON, NDJSON, JSON lines, CSV, and .gz files (compressed). [### Can AI agents use the Wikipedia Image Scraper API?](<#Can AI agents use the Wikipedia Image Scraper API?>)Yes. Connect any agent through the hosted MCP server, point a coding agent at brightdata.com/SKILL.md to set itself up, or use the CLI. Agents authenticate once with browser OAuth and can run any of the Wikipedia Image scrapers. ## The easiest way to scrape Wikipedia Image data at scale Start freeContact sales