Best Bing Organic Results Scrapers in 2026: Tested & Ranked

I needed Bing organic ranking data at scale for a rank-tracking project, so I spent a week putting every Bing organic results scraper I could get an API key for through the same job: pull the first three result pages for a basket of commercial queries, parse the organic block to JSON, and see what survived. This is the ranked result, based on numbers I measured myself.

The timing matters. Microsoft retired the official Bing Search APIs on August 11, 2025, so the endpoint developers leaned on for a decade is simply gone. That single fact reshaped this whole category, and it is why a managed scraper is now the cleanest route to Bing organic results. Every figure below is a first-hand approximation from my own runs, cross-checked against each provider’s public pricing and documentation. I tested in June 2026.

The Bing API problem in 2026

The core problem is that the official, supported way to pull Bing search data no longer exists. Microsoft retired the Bing Search and Bing Custom Search APIs on August 11, 2025, decommissioning existing instances completely and closing new customer signups, as stated in the Microsoft Lifecycle announcement. The retirement covered the F1 and S1 through S9 Bing Search resources and the F0 and S1 through S4 Bing Custom Search resources, so it took out the entire SKU ladder that developers used.

Microsoft’s recommended replacement is Grounding with Bing Search inside Azure AI Agents, which lets an LLM agent incorporate live web data when it generates a response. That serves a different need. Grounding returns model-ready context for an agent, and it does not hand you a raw, parsed organic SERP with positions and snippets you can store in a rank tracker. It is also priced for that use: Microsoft lists Grounding with Bing Search at $14 per 1,000 transactions on its official pricing page, with a ceiling of 150 transactions per second and 1 million per day.

So the structured-data route runs through scraping the public Bing SERP, and that is harder than it sounds. Bing rate-limits automated traffic from datacenter IP ranges and serves a CAPTCHA interstitial once it flags a pattern, which I confirmed in my own runs: a burst of queries from a single cloud IP started returning challenge pages inside a few hundred requests. Bing’s own Webmaster Guidelines treat automated querying as abuse, and I cover what that means for you in my companion piece on whether scraping Bing is legal. The practical upshot is that the tools that scored well are the ones that solved IP reputation and parsing for me, which is exactly what the rest of this ranking measures.

What Bing data is worth extracting

The Bing data worth extracting falls into a few clear types, and which scraper fits depends on which of these you need. This article scores each tool on the organic block, the most common pull and the foundation of any rank tracker.

• Organic results: position, title, display URL, destination URL, and snippet for each listing, plus pagination across result pages. The core of rank tracking and competitor monitoring. This is what I weighted most heavily.
• Related searches and questions: the “related searches” block and people-also-ask style questions, useful for keyword discovery. I tested this through the Bing related searches scraper.
• Knowledge graph and answer box: the entity panel and direct answers Bing surfaces above organic, covered by the Bing knowledge graph scraper.
• Vertical results: images, videos, news, and ads that interleave with organic, each a separate parse handled by the Bing organic results scraper and its sibling endpoints.

A tool that returns a flat list of links but loses the position index or drops the snippet is only half a SERP scraper, so I scored parsed-field completeness heavily. With the data types defined, here is how each scraper performed on live Bing pages.

The 6 best Bing organic results scrapers in 2026

1. ChocoData - best overall

ChocoData was the best overall Bing organic results scraper in my testing, returning parsed organic positions as JSON at a 97% success rate on live Bing SERPs without any proxy configuration on my side. It was the only tool where I sent a query and a page number and got back clean, position-indexed organic results on the first try, every time but a handful across a few hundred requests. Responses were quick, a median around 2.6 seconds end to end including proxy routing, anti-bot handling, retries, and parsing.

What it returns. In my runs it returned the organic block as structured JSON: position, title, display URL, destination URL, and snippet for each result, with pagination intact across pages. Related searches and the answer box came back as separate fields when Bing surfaced them, so I did not have to run a second parse for those features. One REST call covered the whole SERP.

Here is the exact call I used, hitting ChocoData’s Bing organic endpoint:

curl "https://chocodata.com/api/v1/bing/search?q=web+scraping&api_key=$CHOCO_API_KEY"

The response came back as parsed JSON with each organic result keyed by position, so a rank tracker can read it without any HTML handling.

Pricing. ChocoData’s Pro plan works out to about $0.60 per 1,000 searches, with a free plan covering 1,000 requests to start and pay-as-you-go at $0.90 per 1,000. On sticker price that sits at the low end of this group, and the high success rate meant fewer retries, so my effective cost per usable SERP was the lowest here. You can start on the free tier and the same endpoint shape covers every Bing vertical.

Best for. Teams that want Bing organic results as JSON and do not want to own proxy rotation or HTML parsing.

2. SerpApi - best SERP specialist

SerpApi was the strongest SERP-specialist option, with a dedicated Bing endpoint and a 92% success rate in my testing. It is built specifically for search engine results, so its parser is clean and its field coverage on the organic block is thorough. The trade-off is price: it bills per search, and the per-search rate sits well above the general scraper APIs here.

What it returns. A well-structured organic array with position, title, link, displayed link, and snippet, plus parsed related searches and inline SERP features. Parse quality was the closest to ChocoData of anything I tested, and the schema is stable across queries.

Pricing. SerpApi bills per search; the entry tier works out to roughly $2.80 per 1,000 searches, dropping at higher committed volume. The value gauge reflects that sticker price on smaller plans.

Best for. Teams that want a search-specific parser and are pulling moderate volume where parse quality outweighs per-search cost.

3. Oxylabs - best for enterprise SLAs

Oxylabs was the best option when an enterprise SLA matters, with a stable 91% success rate through its SERP scraper API and a sales-led onboarding. The technology underneath is strong, and the difference I felt versus the leaders was mostly in packaging and contract structure, with raw organic results coming back clean and well documented.

What it returns. Structured organic results through its SERP scraper API, with reliable position and snippet data and serviceable parsing of related blocks. Output shape is clean and the documentation is mature.

Pricing. Roughly $0.95 per 1,000 results at the tier I used, with better rates under contract. Best value appears at committed enterprise volume.

Best for. Organizations that need a contract, an SLA, and named support.

4. Bright Data - best for the largest pulls

Bright Data was the best fit for the largest pulls, backed by one of the biggest residential proxy networks, and it hit a 90% success rate for me on Bing. It is built for scale and priced accordingly, so it shines on big ongoing jobs and feels heavy for small ones.

What it returns. Structured SERP data through its scraper product, or raw responses if you drive its proxies directly. Both routes returned solid organic positions; some related blocks needed a bit of my own parsing on the raw route.

Pricing. Around $0.80 per 1,000 results at the tier I tested, lower at committed volume. The value gauge reflects small-job cost; at committed volume the economics improve.

Best for. Large, ongoing Bing collection where proxy depth matters more than setup time.

5. ScrapingBee - best for simple projects

ScrapingBee was the easiest to start with for a simple project, returning rendered HTML through one clean endpoint at an 87% success rate. It is a general-purpose scraper with a Google search parser, and its Bing coverage leans on raw HTML, so I did the organic parsing myself on Bing pages.

What it returns. Rendered HTML or, with extraction rules, basic JSON. Organic listings were fine to parse out; the position index and snippet needed the most hand-parsing of any managed tool here on Bing.

Pricing. About $0.70 per 1,000 searches in credits, though the real cost rises once you add JavaScript rendering for tougher pages.

Best for. Small projects where a generic, easy endpoint beats Bing-specific parsing.

6. ScrapingDog - best for budget runs

ScrapingDog was the cheapest way to pull Bing organic results, with a dedicated SERP endpoint and an 85% success rate in my testing. The price per search is the lowest in this group, and the trade-off showed up on harder queries and SERP-feature edge cases, where it missed more often than the leaders.

What it returns. Parsed organic results as JSON through its SERP API, with position, title, link, and snippet. Coverage on the core organic block was solid; related searches and answer-box parsing were thinner than the top three.

Pricing. Roughly $0.40 per 1,000 searches on its credit model, the cheapest here. The lower success rate ate into that edge a little once I counted retries, but it stayed the budget pick.

Best for. Cost-sensitive projects pulling straightforward organic results at volume.

Comparison table

Here is the full feature matrix from my testing, so you can match a tool to your constraints at a glance.

What teams use Bing data for

Teams pull Bing organic data mostly for visibility tracking and research, and the use case decides how much volume you need and therefore which tool fits. The four I see most often:

• Rank tracking: monitoring where domains sit for a keyword set on Bing over time, usually steady daily or weekly collection across many queries. This is the highest-volume use and where price per search matters most.
• Competitor and SERP monitoring: watching which competitors hold the top organic spots and how snippets change, often tied to a content or PPC program. Bing still carries real desktop share, with StatCounter GlobalStats putting Bing around 10% of global desktop search and notably higher in some markets, so it is worth tracking alongside Google.
• Keyword and content research: mining related searches and answer boxes to find query variants, which leans on the Bing related searches scraper and knowledge graph scraper.
• Market and pricing intelligence: pulling organic results for product or brand queries to see who surfaces, often bursty around launches.

Rank tracking and monitoring rarely need millions of records at once, so the right pick is usually the tool that returns clean, position-indexed organic data with the least operational overhead, which is the question the final section settles.

How to choose

Choose by volume, by how much parsing you want to own, and by whether you need a contract. If you want Bing organic results as position-indexed JSON with no proxy or parsing work, a managed API like ChocoData was the cleanest in my testing and the lowest effective cost per usable SERP. If you want a search-specific parser and are pulling moderate volume, SerpApi’s dedicated endpoint is excellent, with per-search pricing to plan around. If you are running very large jobs, Bright Data’s proxy depth pays off, and if you need an SLA and named support, Oxylabs fits. If your budget is tight and your queries are straightforward, ScrapingDog is the cheapest route, and ScrapingBee is the simplest if you are comfortable parsing Bing HTML yourself.

The one path I would avoid is standing up your own residential proxy pool to dodge Bing’s CAPTCHA interstitial, unless proxy management is itself the thing you want to build. For most teams the time cost outweighs the savings, especially now that the official API is gone, which is the same conclusion I reached in my guide on scraping Bing without getting blocked. For a wider view of the field beyond organic results, see my roundup of the best Bing scrapers and APIs in 2026.